We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.
We are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values.
Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent
Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models
Develop robust evaluation frameworks to measure model alignment, safety, and output quality
Create and optimize data collection pipelines for human feedback and preferences
Design and conduct experiments to validate alignment techniques and their scaling properties
Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline
Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment
Mentor junior researchers and foster a culture of responsible AI development
Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
Must have:
Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models
Extensive experience implementing and optimizing large-scale training pipelines using PyTorch
Deep understanding of reinforcement learning techniques, particularly RLHF
Experience with distributed training systems and large-scale experiments
Proven track record in designing and implementing robust evaluation frameworks
Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
Strong software engineering skills and experience with complex shared codebases
Ideal candidate will have:
Experience with diffusion models or other generative architectures
Background in fine-tuning large language models or generative models
Experience working with human feedback data collection and annotation pipelines
Strong aesthetic sense and understanding of video quality assessment
Familiarity with alignment techniques such as constitutional AI or debate
Track record of successful collaboration with product teams
Experience with perceptual quality metrics and human evaluation design
Contributions to open-source projects in AI alignment or generative AI
Additional Information
The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
","descriptionPlain":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.\n\n\nROLE OVERVIEW:\n\nWe are seeking an exceptional Research Scientist to join our team, focusing on alignment and post-training techniques for large-scale video generation models. In this role, you will be at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate and safe outputs that match human preferences and values.\n\n\nKEY RESPONSIBILITIES:\n\n - Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent\n\n - Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models\n\n - Develop robust evaluation frameworks to measure model alignment, safety, and output quality\n\n - Create and optimize data collection pipelines for human feedback and preferences\n\n - Design and conduct experiments to validate alignment techniques and their scaling properties\n\n - Collaborate with cross-functional teams to integrate alignment improvements into our production pipeline\n\n - Stay at the cutting edge of the field by regularly reviewing academic literature in both generative AI and alignment\n\n - Mentor junior researchers and foster a culture of responsible AI development\n\n - Work closely with product teams to ensure alignment methods enhance rather than inhibit model capabilities\n\n\nQUALIFICATIONS:\n\n - Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field\n\n - Must have:\n \n - Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models\n \n - Extensive experience implementing and optimizing large-scale training pipelines using PyTorch\n \n - Deep understanding of reinforcement learning techniques, particularly RLHF\n \n - Experience with distributed training systems and large-scale experiments\n \n - Proven track record in designing and implementing robust evaluation frameworks\n \n - Excellent communication skills with the ability to explain complex technical concepts to diverse audiences\n \n - Strong software engineering skills and experience with complex shared codebases\n\n - Ideal candidate will have:\n \n - Experience with diffusion models or other generative architectures\n \n - Background in fine-tuning large language models or generative models\n \n - Experience working with human feedback data collection and annotation pipelines\n \n - Strong aesthetic sense and understanding of video quality assessment\n \n - Familiarity with alignment techniques such as constitutional AI or debate\n \n - Track record of successful collaboration with product teams\n \n - Experience with perceptual quality metrics and human evaluation design\n \n - Contributions to open-source projects in AI alignment or generative AI\n \n \n \n Additional Information\n \n The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.\n\nGenmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1urlF3XKQTw83aJfpMKMwrUP1E1mUlNTO/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1ZD4zax6Li8oTN_VHd9w3rpFPoWeaeGVO/view?usp=drive_link."},{"id":"0f8462cc-c351-41b0-a794-3558c63646e2","title":"Research Scientist (diffusion)","department":"Research","team":"Research","employmentType":"FullTime","location":"San Francisco HQ","secondaryLocations":[],"publishedAt":"2026-09-28T19:03:49.496+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/genmo/0f8462cc-c351-41b0-a794-3558c63646e2","applyUrl":"https://jobs.ashbyhq.com/genmo/0f8462cc-c351-41b0-a794-3558c63646e2/application","descriptionHtml":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.
We are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content.
Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity
Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content
Design and conduct rigorous experiments to validate new ideas and evaluate model performance
Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline
Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences
Contribute to the research community through high-quality publications and open-source contributions
Mentor junior researchers and foster a culture of innovation within the research team
Work closely with product teams to align research directions with user needs and market opportunities
Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field
Must have:
Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models
Extensive experience implementing and optimizing large-scale generative models for image or video tasks
Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
Proven ability to work collaboratively in a team environment
Ideal candidate will have:
Postdoctoral or industrial research experience in generative AI for video
Hands-on experience with text-to-video generation projects
Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video
Experience working with large-scale datasets and distributed computing environments
Track record of successful collaboration with product teams on technology transfers
Familiarity with video codecs, compression techniques, and perceptual quality metrics
Contributions to open-source projects in the field of generative AI
The role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
","descriptionPlain":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.\n\n\nROLE OVERVIEW:\n\nWe are seeking an exceptional Research Scientist to join our team, focusing on developing cutting-edge diffusion models for text-to-video generation. In this role, you will be at the forefront of innovation, creating novel architectures and algorithms that transform written descriptions into stunning, coherent video content.\n\n\n\n\nKEY RESPONSIBILITIES:\n\n - Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity\n\n - Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content\n\n - Design and conduct rigorous experiments to validate new ideas and evaluate model performance\n\n - Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline\n\n - Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences\n\n - Contribute to the research community through high-quality publications and open-source contributions\n\n - Mentor junior researchers and foster a culture of innovation within the research team\n\n - Work closely with product teams to align research directions with user needs and market opportunities\n\n\n\n\nQUALIFICATIONS:\n\n - Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field\n\n - Must have:\n \n - Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models\n \n - Extensive experience implementing and optimizing large-scale generative models for image or video tasks\n \n - Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation\n \n - Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow\n \n - Excellent communication skills with the ability to explain complex technical concepts to diverse audiences\n \n - Proven ability to work collaboratively in a team environment\n\n - Ideal candidate will have:\n \n - Postdoctoral or industrial research experience in generative AI for video\n \n - Hands-on experience with text-to-video generation projects\n \n - Expertise in other generative model architectures (e.g., GANs, VAEs) and their applications to video\n \n - Experience working with large-scale datasets and distributed computing environments\n \n - Track record of successful collaboration with product teams on technology transfers\n \n - Familiarity with video codecs, compression techniques, and perceptual quality metrics\n \n - Contributions to open-source projects in the field of generative AI\n\n\n\n\nADDITIONAL INFORMATION\n\nThe role is based in the Bay Area (San Francisco). Candidates are expected to be located near the Bay Area or open to relocation.\n\nGenmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1urlF3XKQTw83aJfpMKMwrUP1E1mUlNTO/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1ZD4zax6Li8oTN_VHd9w3rpFPoWeaeGVO/view?usp=drive_link."},{"id":"1eec9a21-b686-498c-8ca5-27fe9c44e2b6","title":"Founding Product Designer","department":"Design","team":"Design","employmentType":"FullTime","location":"San Francisco HQ","secondaryLocations":[],"publishedAt":"2024-10-27T18:21:32.759+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/genmo/1eec9a21-b686-498c-8ca5-27fe9c44e2b6","applyUrl":"https://jobs.ashbyhq.com/genmo/1eec9a21-b686-498c-8ca5-27fe9c44e2b6/application","descriptionHtml":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.
We are seeking a passionate and versatile founding Senior Product Designer to spearhead the design of next-generation products and experiences for video creation. This role is pivotal in driving future innovative features and improvements that cater to both consumers and developers, using a deep understanding of product design principles. The ideal candidate will have a strong background in product design, with an emphasis on creating intuitive, engaging user interfaces for both web and mobile platforms.
Distilling insights from user needs and model research into clear product directions
Designing and prototyping interfaces for existing Genmo web application and future products and platforms
Specifying and evaluating model behavior and its impact on the user experience, working closely with our research efforts
Collaborating closely with research, engineering, and product teams to realize the vision of Genmo's AI-powered video generation tool
Upholding and advancing the visual consistency and user experience quality across all platforms to create unique, delightful user experiences
5+ years proven experience in product design, particularly for web and mobile interfaces.
Must have:
Strong ownership mindset to identify and lead design projects end-to-end that will have the most impact on user experience and Genmo overall
Experience with consumer applications and a strong understanding of how design impacts user engagement in both the short and long term
Prior experience working in a small design team environment
Care about building a safe, exciting future with a transformative technology
Ideal candidate will have:
Previous founding designer experience
Previous experience in video creation or working within the video production industry
Frontend development experience or interest/passion (e.g., HTML/CSS, React)
Animation, illustration, or brand design experience are a bonus
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
","descriptionPlain":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.\n\n\nROLE OVERVIEW\n\nWe are seeking a passionate and versatile founding Senior Product Designer to spearhead the design of next-generation products and experiences for video creation. This role is pivotal in driving future innovative features and improvements that cater to both consumers and developers, using a deep understanding of product design principles. The ideal candidate will have a strong background in product design, with an emphasis on creating intuitive, engaging user interfaces for both web and mobile platforms.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Distilling insights from user needs and model research into clear product directions\n\n - Designing and prototyping interfaces for existing Genmo web application and future products and platforms\n\n - Specifying and evaluating model behavior and its impact on the user experience, working closely with our research efforts\n\n - Collaborating closely with research, engineering, and product teams to realize the vision of Genmo's AI-powered video generation tool\n\n - Upholding and advancing the visual consistency and user experience quality across all platforms to create unique, delightful user experiences\n\n\n\n\nQUALIFICATIONS\n\n - 5+ years proven experience in product design, particularly for web and mobile interfaces.\n\n - Must have:\n \n - Strong ownership mindset to identify and lead design projects end-to-end that will have the most impact on user experience and Genmo overall\n \n - Experience with consumer applications and a strong understanding of how design impacts user engagement in both the short and long term\n \n - Prior experience working in a small design team environment\n \n - Care about building a safe, exciting future with a transformative technology\n\n - Ideal candidate will have:\n \n - Previous founding designer experience\n \n - Previous experience in video creation or working within the video production industry\n \n - Frontend development experience or interest/passion (e.g., HTML/CSS, React)\n \n - Animation, illustration, or brand design experience are a bonus\n\nGenmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1urlF3XKQTw83aJfpMKMwrUP1E1mUlNTO/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1ZD4zax6Li8oTN_VHd9w3rpFPoWeaeGVO/view?usp=drive_link."},{"id":"9b5477f4-97af-4aaa-b855-910c982ce191","title":"Research Engineer (New Grad)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco HQ","secondaryLocations":[],"publishedAt":"2026-09-14T23:33:38.719+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/genmo/9b5477f4-97af-4aaa-b855-910c982ce191","applyUrl":"https://jobs.ashbyhq.com/genmo/9b5477f4-97af-4aaa-b855-910c982ce191/application","descriptionHtml":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.
We're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment.
Contribute to the development of novel machine learning techniques for visual generative modeling
Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers)
Help optimize model performance and scaling capabilities
Assist in ensuring safe and robust model deployment
Collaborate with cross-functional teams to integrate research innovations
Participate in research discussions and contribute to technical documentation
BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome)
2+ years of experience in Machine Learning
Strong foundation in machine learning, particularly generative models
Solid programming skills in Python and PyTorch/TensorFlow
Experience with deep learning frameworks and model training
Understanding of fundamental concepts in computer vision and generative AI
Project experience (academic or personal) with generative models
Clear communication skills and ability to work in a research team
Research projects or thesis work in generative AI
Experience with different types of generative models:
Diffusion Models
GANs
Transformer architectures
Large Language Models
Familiarity with distributed computing and GPU optimization
Contributions to open-source ML projects
Academic publications or workshop papers
Experience with ML infrastructure and deployment
This position is onsite at our San Francisco office (4–5 days per week).
We are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key.
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
","descriptionPlain":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.\n\n\nABOUT THE ROLE\n\nWe're seeking an exceptional Software Engineer to join our research team in advancing the frontiers of visual generative AI. As a Research Engineer, you'll work alongside experienced researchers to develop and improve generative models while ensuring their safe and effective deployment.\n\n\n\n\nWHAT YOU'LL DO\n\n - Contribute to the development of novel machine learning techniques for visual generative modeling\n\n - Implement and experiment with various generative architectures (Diffusion Models, GANs, Transformers)\n\n - Help optimize model performance and scaling capabilities\n\n - Assist in ensuring safe and robust model deployment\n\n - Collaborate with cross-functional teams to integrate research innovations\n\n - Participate in research discussions and contribute to technical documentation\n \n \n\n\nREQUIRED QUALIFICATIONS\n\n - BS or MS in Computer Science, Machine Learning, or related field (recent graduates welcome)\n\n - 2+ years of experience in Machine Learning\n\n - Strong foundation in machine learning, particularly generative models\n\n - Solid programming skills in Python and PyTorch/TensorFlow\n\n - Experience with deep learning frameworks and model training\n\n - Understanding of fundamental concepts in computer vision and generative AI\n\n - Project experience (academic or personal) with generative models\n\n - Clear communication skills and ability to work in a research team\n \n \n\n\nPREFERRED QUALIFICATIONS\n\n - Research projects or thesis work in generative AI\n\n - Experience with different types of generative models:\n \n - Diffusion Models\n \n - GANs\n \n - Transformer architectures\n \n - Large Language Models\n\n - Familiarity with distributed computing and GPU optimization\n\n - Contributions to open-source ML projects\n\n - Academic publications or workshop papers\n\n - Experience with ML infrastructure and deployment\n\n\n\nThis position is onsite at our San Francisco office (4–5 days per week).\n\nWe are a fast-paced startup, and our team works very hard to build impactful products quickly. We’re looking for equally driven and hardworking individuals who thrive in an environment where learning is constant, challenges are exciting, and collaboration is key. \n\nGenmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1urlF3XKQTw83aJfpMKMwrUP1E1mUlNTO/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1ZD4zax6Li8oTN_VHd9w3rpFPoWeaeGVO/view?usp=drive_link."},{"id":"14aaaa71-7c0c-4352-9c6c-bf3f12f3aeb5","title":"GPU Performance Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco HQ","secondaryLocations":[],"publishedAt":"2025-07-17T16:55:44.283+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/genmo/14aaaa71-7c0c-4352-9c6c-bf3f12f3aeb5","applyUrl":"https://jobs.ashbyhq.com/genmo/14aaaa71-7c0c-4352-9c6c-bf3f12f3aeb5/application","descriptionHtml":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.
We're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure and optimize our model serving stack to its absolute limits.
The Role
You'll be our performance optimization expert, using advanced profiling tools to identify bottlenecks and implementing solutions that achieve 5-10x speedups. From writing custom CUDA kernels to eliminating cold start latency, you'll ensure our infrastructure delivers world-class performance. This role is perfect for someone who gets excited about microsecond optimizations and pushing hardware to its theoretical limits.
Key Responsibilities
Profile and optimize GPU workloads using Nsight Systems, nvprof, and custom instrumentation
Write high-performance CUDA and Triton kernels for critical model operations
Optimize cold start latency from seconds to milliseconds for our serving infrastructure
Tune memory access patterns, kernel fusion, and GPU utilization
Collaborate with ML engineers to optimize model implementations
Debug performance issues across the full stack from application to hardware
Implement custom memory pooling and allocation strategies
Share optimization techniques and build performance culture across teams
Qualifications
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
5+ years systems programming experience with 3+ years focused on GPU optimization
Expert proficiency with GPU profiling tools (Nsight Systems, nvprof)
Strong CUDA programming skills with production kernel development
Deep understanding of GPU architecture (memory hierarchy, SMs, warps)
Track record of achieving significant performance improvements (5-10x)
Experience with Python and C++ in production environments
We Value
Experience with Triton kernel development
Knowledge of CUTLASS or similar high-performance libraries
Background in ML-specific optimizations (attention, transformers)
RDMA/InfiniBand optimization experience
Contributions to GPU libraries or frameworks
Low-level debugging skills (PTX/SASS reading)
Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
","descriptionPlain":"We are Genmo, a research lab developing the world’s most sophisticated video world models to understand, simulate, and interact with the physical world. Our mission is to unlock the right brain of AGI. Join us in advancing physical intelligence and enabling robots to learn and act in a changing world.\n\nWe're seeking a GPU Performance Engineer to squeeze every last FLOP from our H100 infrastructure and optimize our model serving stack to its absolute limits.\n\nThe Role\n\nYou'll be our performance optimization expert, using advanced profiling tools to identify bottlenecks and implementing solutions that achieve 5-10x speedups. From writing custom CUDA kernels to eliminating cold start latency, you'll ensure our infrastructure delivers world-class performance. This role is perfect for someone who gets excited about microsecond optimizations and pushing hardware to its theoretical limits.\n\nKey Responsibilities\n\n\n - Profile and optimize GPU workloads using Nsight Systems, nvprof, and custom instrumentation\n\n - Write high-performance CUDA and Triton kernels for critical model operations\n\n - Optimize cold start latency from seconds to milliseconds for our serving infrastructure\n\n - Tune memory access patterns, kernel fusion, and GPU utilization\n\n - Collaborate with ML engineers to optimize model implementations\n\n - Debug performance issues across the full stack from application to hardware\n\n - Implement custom memory pooling and allocation strategies\n\n - Share optimization techniques and build performance culture across teams\n \n \n\nQualifications\n\n\n - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field\n\n - 5+ years systems programming experience with 3+ years focused on GPU optimization\n\n - Expert proficiency with GPU profiling tools (Nsight Systems, nvprof)\n\n - Strong CUDA programming skills with production kernel development\n\n - Deep understanding of GPU architecture (memory hierarchy, SMs, warps)\n\n - Track record of achieving significant performance improvements (5-10x)\n\n - Experience with Python and C++ in production environments\n \n \n\nWe Value\n\n\n - Experience with Triton kernel development\n\n - Knowledge of CUTLASS or similar high-performance libraries\n\n - Background in ML-specific optimizations (attention, transformers)\n\n - RDMA/InfiniBand optimization experience\n\n - Contributions to GPU libraries or frameworks\n\n - Low-level debugging skills (PTX/SASS reading)\n\nGenmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E-Verify company and you may review the Notice of E-Verify Participation https://drive.google.com/file/d/1urlF3XKQTw83aJfpMKMwrUP1E1mUlNTO/view?usp=sharing and the Right to Work posters in English and Spanish https://drive.google.com/file/d/1ZD4zax6Li8oTN_VHd9w3rpFPoWeaeGVO/view?usp=drive_link."}],"apiVersion":"1"}