We help make autonomous technologies more efficient, safer, and accessible.
Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.
Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.
We're looking for a Staff Software Engineer to join our growing team! At Helm.ai, expect a fast-paced environment; you will have significant influence over the company's business and the pace of technical innovation. You will work on cutting-edge technologies, solve complex engineering challenges, and contribute directly to shaping our products and the overall direction of the company. We need people who are organized, able to think on their feet, and can find creative solutions to challenging problems.
You will:
Lead and Build: Architect and design scalable, reliable, and efficient ML infrastructure and services, enabling the company to handle large scale training, massive datasets, and a growing number of customers with diverse needs.
Scale Systems: Ensure the ML platform is capable of handling large-scale data processing and machine learning model development at a global scale.
Agility & Cost Efficiency: Optimize platform implementation for flexibility and cost-effectiveness while maintaining agility in development, enabling quick adaptation to evolving requirements.
User-Centric Design: Build systems that are convenient, reliable, and easy to use for both internal teams (data scientists, engineers) and external customers.
End-to-End Ownership: Take full ownership of the platform's lifecycle, from inception through design and implementation to deployment and monitoring.
Collaboration: Work closely with cross-functional teams, including data science, product, and operations, to ensure seamless integration of ML capabilities into business-critical services.
Innovation: Keep up with the latest industry trends and incorporate cutting-edge technologies into our platform to maintain a competitive edge.
Problem-Solving: Tackle complex technical challenges head-on, from infrastructure optimization to providing solutions for data processing, storage, and access at scale.
Mentorship: Lead and mentor engineers, fostering a culture of excellence and high-performance within the engineering team.
You have:
Proven experience in building and scaling cloud-based infrastructure and services, particularly in machine learning or data-heavy environments.
Expert knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), and technologies like Kubernetes, Docker, and microservices architecture.
Deep experience with building large scale services, and the challenges that come with performance, reliability, and cost at scale.
Demonstrated ability to design and implement cost-effective solutions while balancing performance, security, and scalability.
Solid background in machine learning concepts, e.g., model training and validation.
Strong leadership and collaboration skills, with experience working in an agile development environment and mentoring high-performing teams.
Ability to manage ambiguity and thrive in a fast-paced, evolving environment where priorities shift rapidly.
Passionate problem solver with a focus on building practical, reliable, and efficient systems that can scale in real-world, production environments.
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
Competitive health insurance options
401K plan management
Remote-friendly and flexible team culture
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
","descriptionPlain":"We help make autonomous technologies more efficient, safer, and accessible. \n\nHelm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.\n\nOur team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles. \n\nWe're looking for a Staff Software Engineer to join our growing team! At Helm.ai http://Helm.ai, expect a fast-paced environment; you will have significant influence over the company's business and the pace of technical innovation. You will work on cutting-edge technologies, solve complex engineering challenges, and contribute directly to shaping our products and the overall direction of the company. We need people who are organized, able to think on their feet, and can find creative solutions to challenging problems.\n\n \n\nYou will:\n\n - Lead and Build: Architect and design scalable, reliable, and efficient ML infrastructure and services, enabling the company to handle large scale training, massive datasets, and a growing number of customers with diverse needs.\n\n - Scale Systems: Ensure the ML platform is capable of handling large-scale data processing and machine learning model development at a global scale.\n\n - Agility & Cost Efficiency: Optimize platform implementation for flexibility and cost-effectiveness while maintaining agility in development, enabling quick adaptation to evolving requirements.\n\n - User-Centric Design: Build systems that are convenient, reliable, and easy to use for both internal teams (data scientists, engineers) and external customers.\n\n - End-to-End Ownership: Take full ownership of the platform's lifecycle, from inception through design and implementation to deployment and monitoring.\n\n - Collaboration: Work closely with cross-functional teams, including data science, product, and operations, to ensure seamless integration of ML capabilities into business-critical services.\n\n - Innovation: Keep up with the latest industry trends and incorporate cutting-edge technologies into our platform to maintain a competitive edge.\n\n - Problem-Solving: Tackle complex technical challenges head-on, from infrastructure optimization to providing solutions for data processing, storage, and access at scale.\n\n - Mentorship: Lead and mentor engineers, fostering a culture of excellence and high-performance within the engineering team.\n\nYou have:\n\n - Proven experience in building and scaling cloud-based infrastructure and services, particularly in machine learning or data-heavy environments.\n\n - Expert knowledge of distributed systems, cloud platforms (AWS, GCP, Azure), and technologies like Kubernetes, Docker, and microservices architecture.\n\n - Deep experience with building large scale services, and the challenges that come with performance, reliability, and cost at scale.\n\n - Demonstrated ability to design and implement cost-effective solutions while balancing performance, security, and scalability.\n\n - Solid background in machine learning concepts, e.g., model training and validation.\n\n - Strong leadership and collaboration skills, with experience working in an agile development environment and mentoring high-performing teams.\n\n - Ability to manage ambiguity and thrive in a fast-paced, evolving environment where priorities shift rapidly.\n\n - Passionate problem solver with a focus on building practical, reliable, and efficient systems that can scale in real-world, production environments.\n\nThe pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.\n\nWe offer:\n\n - Competitive health insurance options\n\n - 401K plan management\n\n - Remote-friendly and flexible team culture\n\n - Free lunch and fully-stocked kitchen in our South Bay office\n\n - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale\n\n - The opportunity to work on one of the most interesting, impactful problems of the decade\n\nHelm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees."},{"id":"0b3ebe5a-3cbb-419f-b5d3-4c986b344338","title":"Software Engineer, Autonomous Vehicles","department":"AV","team":"AV","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-06-11T17:48:39.549+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/helm-ai/0b3ebe5a-3cbb-419f-b5d3-4c986b344338","applyUrl":"https://jobs.ashbyhq.com/helm-ai/0b3ebe5a-3cbb-419f-b5d3-4c986b344338/application","descriptionHtml":"We help make autonomous technologies more efficient, safer, and accessible.
Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale.
We are looking for versatile engineers to shape core components of the next generation of the Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities.
You will:
Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment.
Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack.
Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements.
Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning.
Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility.
You have:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred.
Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments.
Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading.
Strong command of data structures, algorithms, software architecture, and design patterns.
Excellent problem-solving, communication, and collaboration skills, with a passion for innovation.
The following are not required but a plus:
Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware.
Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems.
Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles.
We offer:
Competitive health insurance options
401K plan management
Remote-friendly and flexible team culture
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
","descriptionPlain":"We help make autonomous technologies more efficient, safer, and accessible.\n\nHelm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers https://helm.ai/post/helm-ai-and-honda-motor-co-agree-to-multi-year-adas-joint-development-for-mass-production-consumer-vehicles towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale.\n\nWe are looking for versatile engineers to shape core components of the next generation of the Helm.ai http://Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai http://Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities.\n\nYou will:\n\n - Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment.\n\n - Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack.\n\n - Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements.\n\n - Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning.\n\n - Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility.\n\nYou have:\n\n - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred.\n\n - Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments.\n\n - Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading.\n\n - Strong command of data structures, algorithms, software architecture, and design patterns.\n\n - Excellent problem-solving, communication, and collaboration skills, with a passion for innovation.\n\nThe following are not required but a plus:\n\n - Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware.\n\n - Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems.\n\n - Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles.\n\nWe offer:\n\n - Competitive health insurance options\n\n - 401K plan management\n\n - Remote-friendly and flexible team culture\n\n - Free lunch and fully-stocked kitchen in our South Bay office\n\n - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale\n\n - The opportunity to work on one of the most interesting, impactful problems of the decade\n\nHelm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees."},{"id":"aa111a3f-6a13-4a1d-9932-7c259849f57e","title":"Research Engineer","department":"AI/ML","team":"AI/ML","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-06-17T01:05:30.132+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/helm-ai/aa111a3f-6a13-4a1d-9932-7c259849f57e","applyUrl":"https://jobs.ashbyhq.com/helm-ai/aa111a3f-6a13-4a1d-9932-7c259849f57e/application","descriptionHtml":"You will:
You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:
Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms
You have:
A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
Comfort operating in a fast-paced environment to deliver customer projects
Introspection, thoughtfulness, and detail-orientation
Experience working with neural networks, Tensorflow and/or PyTorch
Fluency in Python and working knowledge of C/C++ programing
A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
Competitive health insurance options
401K plan management
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
","descriptionPlain":"You will:\n\nYou will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:\n\n - Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale\n\n - Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole\n\n - Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms\n\nYou have:\n\n - A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!\n\n - Comfort operating in a fast-paced environment to deliver customer projects\n\n - Introspection, thoughtfulness, and detail-orientation\n\n - Experience working with neural networks, Tensorflow and/or PyTorch\n\n - Fluency in Python and working knowledge of C/C++ programing\n\n - A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry\n\n - Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field\n\nThe pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.\n\nWe offer:\n\n - Competitive health insurance options\n\n - 401K plan management\n\n - Free lunch and fully-stocked kitchen in our South Bay office\n\n - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale\n\n - The opportunity to work on one of the most interesting, impactful problems of the decade\n\nHelm.ai http://helm.ai/ is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\n \n\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://helm.ai/ are considered the property of Helm.ai http://helm.ai/ and are not subject to payment of agency fees."},{"id":"e8f21952-f9b3-4691-a7ac-d97757babf62","title":"Research Engineer","department":"AI/ML","team":"AI/ML","employmentType":"FullTime","location":"Remote - Canada","secondaryLocations":[],"publishedAt":"2026-06-17T01:05:59.231+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/helm-ai/e8f21952-f9b3-4691-a7ac-d97757babf62","applyUrl":"https://jobs.ashbyhq.com/helm-ai/e8f21952-f9b3-4691-a7ac-d97757babf62/application","descriptionHtml":"You will:
You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:
Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms
You have:
A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
Comfort operating in a fast-paced environment to deliver customer projects
Introspection, thoughtfulness, and detail-orientation
Experience working with neural networks, Tensorflow and/or PyTorch
Fluency in Python and working knowledge of C/C++ programing
A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
Competitive health insurance options
401K plan management
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
","descriptionPlain":"You will:\n\nYou will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:\n\n - Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale\n\n - Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole\n\n - Work closely with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms\n\nYou have:\n\n - A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!\n\n - Comfort operating in a fast-paced environment to deliver customer projects\n\n - Introspection, thoughtfulness, and detail-orientation\n\n - Experience working with neural networks, Tensorflow and/or PyTorch\n\n - Fluency in Python and working knowledge of C/C++ programing\n\n - A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry\n\n - Master’s or Ph.D. in a related field and/or 5+ years of experience in a related field\n\nThe pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.\n\nWe offer:\n\n - Competitive health insurance options\n\n - 401K plan management\n\n - Free lunch and fully-stocked kitchen in our South Bay office\n\n - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale\n\n - The opportunity to work on one of the most interesting, impactful problems of the decade\n\nHelm.ai http://helm.ai/ is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\n \n\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://helm.ai/ are considered the property of Helm.ai http://helm.ai/ and are not subject to payment of agency fees."},{"id":"b28874b7-178f-444d-91c4-7b1182fc8859","title":"Senior Software Engineer","department":"Platform","team":"Platform","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-07-09T17:18:08.899+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/helm-ai/b28874b7-178f-444d-91c4-7b1182fc8859","applyUrl":"https://jobs.ashbyhq.com/helm-ai/b28874b7-178f-444d-91c4-7b1182fc8859/application","descriptionHtml":"We help make autonomous technologies more efficient, safer, and accessible.
Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.
Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.
We're looking for a Senior Software Engineer to join our growing team! At Helm.ai, expect a fast-paced environment; you will have significant influence over the company's business and the pace of technical innovation. You will work on cutting-edge technologies, solve complex engineering challenges, and contribute directly to shaping our products and the overall direction of the company. We need people who are organized, able to think on their feet, and can find creative solutions to challenging problems.
You will:
Work closely with research engineers to develop productionized ML workflows
Develop and iterate on platform infrastructure for training, validating, and deploying neural networks
Deploy cloud infrastructure and build distributed data-processing pipelines
Develop on an in-house multi-tenant data lake ecosystem supporting the entire lifecycle of machine learning operations
Build internal APIs to serve data, trigger workflows, enforce business logic, etc.
Build CI/CD process and other internal tools to enhance developer productivity
You have:
Strong programming experience demonstrated via work experience, internships, or programming competition performance.
Strong proficiency in Python, Docker, Kubernetes, Terraform, ArgoCD, and major cloud platforms (AWS/GCP) is required. Experience with CUDA, TensorFlow, gRPC, Bazel, or OCI is a strong plus.
Deep knowledge of dev-ops and infrastructure processes such as infra-as-code, microservice deployment, software networking, build tool management
Previous experience in a data-heavy role, such as data infrastructure or machine learning engineer.
Experience using agentic workflows for programming and problem solving
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
Competitive health insurance options
401K plan management
Remote-friendly and flexible team culture
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
","descriptionPlain":"We help make autonomous technologies more efficient, safer, and accessible. \n\nHelm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.\n\nOur team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles. \n\nWe're looking for a Senior Software Engineer to join our growing team! At Helm.ai http://Helm.ai, expect a fast-paced environment; you will have significant influence over the company's business and the pace of technical innovation. You will work on cutting-edge technologies, solve complex engineering challenges, and contribute directly to shaping our products and the overall direction of the company. We need people who are organized, able to think on their feet, and can find creative solutions to challenging problems.\n\n \n\nYou will:\n\n - Work closely with research engineers to develop productionized ML workflows\n\n - Develop and iterate on platform infrastructure for training, validating, and deploying neural networks\n\n - Deploy cloud infrastructure and build distributed data-processing pipelines\n\n - Develop on an in-house multi-tenant data lake ecosystem supporting the entire lifecycle of machine learning operations\n\n - Build internal APIs to serve data, trigger workflows, enforce business logic, etc.\n\n - Build CI/CD process and other internal tools to enhance developer productivity\n\nYou have:\n\n - Strong programming experience demonstrated via work experience, internships, or programming competition performance.\n\n - Strong proficiency in Python, Docker, Kubernetes, Terraform, ArgoCD, and major cloud platforms (AWS/GCP) is required. Experience with CUDA, TensorFlow, gRPC, Bazel, or OCI is a strong plus.\n\n - Deep knowledge of dev-ops and infrastructure processes such as infra-as-code, microservice deployment, software networking, build tool management\n\n - Previous experience in a data-heavy role, such as data infrastructure or machine learning engineer.\n\n - Experience using agentic workflows for programming and problem solving\n\nThe pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.\n\nWe offer:\n\n - Competitive health insurance options\n\n - 401K plan management\n\n - Remote-friendly and flexible team culture\n\n - Free lunch and fully-stocked kitchen in our South Bay office\n\n - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale\n\n - The opportunity to work on one of the most interesting, impactful problems of the decade\n\nHelm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees."},{"id":"3570e1b3-cd69-4971-a3b2-786d2a7f52ef","title":"Software Engineer, Autonomous Vehicles (Motion Planning)","department":"AV","team":"AV","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-07-23T18:14:52.220+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/helm-ai/3570e1b3-cd69-4971-a3b2-786d2a7f52ef","applyUrl":"https://jobs.ashbyhq.com/helm-ai/3570e1b3-cd69-4971-a3b2-786d2a7f52ef/application","descriptionHtml":"We help make autonomous technologies more efficient, safer, and accessible.
Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale.
We are looking for versatile engineers to shape core components of the next generation of the Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities.
You will:
Architect core behavior planning: Own the logic and decision frameworks that guide the vehicle through complex maneuvers (like unprotected turns, dynamic merges, and yielding).
Optimize trajectories: Develop robust trajectory generation systems that perfectly balance safety, passenger comfort, and vehicle progress.
Ensure verifiable safety: Translate complex traffic rules and operational design domain (ODD) constraints into interpretable, highly safe planning behaviors.
Solve the long-tail: Tackle exciting, real-world edge cases, from unpredictable pedestrians and occlusions to complex construction zones.
Drive cross-functional integration: Collaborate closely to seamlessly connect your planner with perception, prediction, localization, and control modules.
Test and validate: Prove out your solutions through rigorous scenario-based simulations, closed-course trials, and live on-road testing.
Optimize for real-time: Deliver robust, highly deterministic performance tailored for embedded automotive hardware.
You have:
MS/PhD in robotics, Computer science, Electrical Engineering, or equivalent industry experience.
Solid C++ for robust, real-time systems, paired with Python for tooling and data analysis.
Deep familiarity with both planning algorithms (search, sampling and optimization-based) and complex decision architectures (like FSMs and behavior trees).
A solid grasp of vehicle kinematics and dynamics to ensure safe, smooth, and realistic motion profiles.
Hands-on experience with ROS/ROS2 or comparable autonomous middleware.
The following are not required but a plus:
Experience shipping a planner on public roads and analyzing real-world disengagement data.
Hands-on experience with tools like CARLA or custom in-house scenario frameworks.
We offer:
Competitive health insurance options
401K plan management
Remote-friendly and flexible team culture
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
","descriptionPlain":"We help make autonomous technologies more efficient, safer, and accessible.\n\nHelm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers https://helm.ai/post/helm-ai-and-honda-motor-co-agree-to-multi-year-adas-joint-development-for-mass-production-consumer-vehicles towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale.\n\nWe are looking for versatile engineers to shape core components of the next generation of the Helm.ai http://Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai http://Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities.\n\nYou will:\n\n - Architect core behavior planning: Own the logic and decision frameworks that guide the vehicle through complex maneuvers (like unprotected turns, dynamic merges, and yielding).\n\n - Optimize trajectories: Develop robust trajectory generation systems that perfectly balance safety, passenger comfort, and vehicle progress.\n\n - Ensure verifiable safety: Translate complex traffic rules and operational design domain (ODD) constraints into interpretable, highly safe planning behaviors.\n\n - Solve the long-tail: Tackle exciting, real-world edge cases, from unpredictable pedestrians and occlusions to complex construction zones.\n\n - Drive cross-functional integration: Collaborate closely to seamlessly connect your planner with perception, prediction, localization, and control modules.\n\n - Test and validate: Prove out your solutions through rigorous scenario-based simulations, closed-course trials, and live on-road testing.\n\n - Optimize for real-time: Deliver robust, highly deterministic performance tailored for embedded automotive hardware.\n\nYou have:\n\n - MS/PhD in robotics, Computer science, Electrical Engineering, or equivalent industry experience.\n\n - Solid C++ for robust, real-time systems, paired with Python for tooling and data analysis.\n\n - Deep familiarity with both planning algorithms (search, sampling and optimization-based) and complex decision architectures (like FSMs and behavior trees).\n\n - A solid grasp of vehicle kinematics and dynamics to ensure safe, smooth, and realistic motion profiles.\n\n - Hands-on experience with ROS/ROS2 or comparable autonomous middleware.\n\nThe following are not required but a plus:\n\n - Experience shipping a planner on public roads and analyzing real-world disengagement data.\n\n - Hands-on experience with tools like CARLA or custom in-house scenario frameworks.\n \n \n We offer:\n\n - Competitive health insurance options\n\n - 401K plan management\n\n - Remote-friendly and flexible team culture\n\n - Free lunch and fully-stocked kitchen in our South Bay office\n\n - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale\n\n - The opportunity to work on one of the most interesting, impactful problems of the decade\n\nHelm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees."},{"id":"1e14146a-a343-4e58-b8d0-7552e334b3a6","title":"Machine Learning Engineer","department":"AI/ML","team":"AI/ML","employmentType":"FullTime","location":"Remote - US","secondaryLocations":[],"publishedAt":"2026-09-09T19:56:12.701+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/helm-ai/1e14146a-a343-4e58-b8d0-7552e334b3a6","applyUrl":"https://jobs.ashbyhq.com/helm-ai/1e14146a-a343-4e58-b8d0-7552e334b3a6/application","descriptionHtml":"You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:
Characterize neural network quality, failure modes, and edge cases based on research data
Maintain awareness of current trends in relevant areas of research and technology
Coordinate with researchers and accurately convey status of experiments
Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
Review experimental results and suggest theoretical or process improvements for future iterations
Write technical reports indicating qualitative and quantitative results to external parties
You have:
A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
Proficiency in Python
Proven ability to thrive in fast-paced environment
Ability to communicate complex technical concepts to colleagues and a variety of audience
Introspection, thoughtfulness, and detail-orientation
The following are a plus, but not required:
Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field
Experience reading research papers and implementing the techniques therein
Computer vision and deep learning experience
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
Competitive health insurance options
401K plan management
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
","descriptionPlain":"You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:\n\n - Characterize neural network quality, failure modes, and edge cases based on research data\n\n - Maintain awareness of current trends in relevant areas of research and technology\n\n - Coordinate with researchers and accurately convey status of experiments\n\n - Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines\n\n - Review experimental results and suggest theoretical or process improvements for future iterations\n\n - Write technical reports indicating qualitative and quantitative results to external parties\n\nYou have:\n\n - A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!\n\n - Proficiency in Python\n\n - Proven ability to thrive in fast-paced environment\n\n - Ability to communicate complex technical concepts to colleagues and a variety of audience\n\n - Introspection, thoughtfulness, and detail-orientation\n\nThe following are a plus, but not required:\n\n - Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field\n\n - Experience reading research papers and implementing the techniques therein\n\n - Computer vision and deep learning experience\n\nThe pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.\n\nWe offer:\n\n - Competitive health insurance options\n\n - 401K plan management\n\n - Free lunch and fully-stocked kitchen in our South Bay office\n\n - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale\n\n - The opportunity to work on one of the most interesting, impactful problems of the decade\n\nHelm.ai http://helm.ai/ is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\n \n\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://helm.ai/ are considered the property of Helm.ai http://helm.ai/ and are not subject to payment of agency fees."},{"id":"a9c443b8-4fc0-4444-afdd-298c25282533","title":"Machine Learning Engineer","department":"AI/ML","team":"AI/ML","employmentType":"FullTime","location":"Remote - Canada","secondaryLocations":[],"publishedAt":"2026-09-09T19:56:35.896+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{}},"jobUrl":"https://jobs.ashbyhq.com/helm-ai/a9c443b8-4fc0-4444-afdd-298c25282533","applyUrl":"https://jobs.ashbyhq.com/helm-ai/a9c443b8-4fc0-4444-afdd-298c25282533/application","descriptionHtml":"You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:
Characterize neural network quality, failure modes, and edge cases based on research data
Maintain awareness of current trends in relevant areas of research and technology
Coordinate with researchers and accurately convey status of experiments
Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
Review experimental results and suggest theoretical or process improvements for future iterations
Write technical reports indicating qualitative and quantitative results to external parties
You have:
A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
Proficiency in Python
Proven ability to thrive in fast-paced environment
Ability to communicate complex technical concepts to colleagues and a variety of audience
Introspection, thoughtfulness, and detail-orientation
The following are a plus, but not required:
Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field
Experience reading research papers and implementing the techniques therein
Computer vision and deep learning experience
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
Competitive health insurance options
401K plan management
Free lunch and fully-stocked kitchen in our South Bay office
Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
The opportunity to work on one of the most interesting, impactful problems of the decade
Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.
","descriptionPlain":"You will collaborate with researchers to perform research operations using existing infrastructure. You will use your judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems. Specifically, you will:\n\n - Characterize neural network quality, failure modes, and edge cases based on research data\n\n - Maintain awareness of current trends in relevant areas of research and technology\n\n - Coordinate with researchers and accurately convey status of experiments\n\n - Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines\n\n - Review experimental results and suggest theoretical or process improvements for future iterations\n\n - Write technical reports indicating qualitative and quantitative results to external parties\n\nYou have:\n\n - A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!\n\n - Proficiency in Python\n\n - Proven ability to thrive in fast-paced environment\n\n - Ability to communicate complex technical concepts to colleagues and a variety of audience\n\n - Introspection, thoughtfulness, and detail-orientation\n\nThe following are a plus, but not required:\n\n - Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field\n\n - Experience reading research papers and implementing the techniques therein\n\n - Computer vision and deep learning experience\n\nThe pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.\n\nWe offer:\n\n - Competitive health insurance options\n\n - 401K plan management\n\n - Free lunch and fully-stocked kitchen in our South Bay office\n\n - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale\n\n - The opportunity to work on one of the most interesting, impactful problems of the decade\n\nHelm.ai http://helm.ai/ is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\n\n \n\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://helm.ai/ are considered the property of Helm.ai http://helm.ai/ and are not subject to payment of agency fees."}],"apiVersion":"1"}