Nunchux AI builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, and Zhekai Zhang with CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Our work is built on nearly a decade of research from MIT and CMU, including nunchaku project, whose models have surpassed 4 million downloads. We have top VC backing, and we build for enterprises and for millions of developers.
Nunchux makes visual generative models fast and efficient enough for production. As a Machine Learning Engineer on post-training and evaluation, you will build post-training pipelines that improve model efficiency and quality, measure the trade-offs, and turn the best recipes into reliable workflows for the models we ship.
Develop post-training recipes: Establish and validate post-training recipes for image and video generation models.
Build data pipelines: Curate and version the training and benchmark data used for post-training and model evaluation.
Build evaluation systems: Create benchmarks and automated judges, and run human preference studies, to measure generation quality, fidelity, and efficiency.
Benchmark and release models: Measure models against relevant baselines, catch quality regressions, and give clear evidence for release decisions.
Bring research into production: Keep up with post-training and evaluation research, then integrate the useful methods into the team's pipelines.
Visual generative-model experience: Hands-on experience with image or video generation models, or with other multimodal visual systems. You understand the artifacts, failure modes, and quality trade-offs that matter in generated visual content.
Post-training or evaluation depth: Depth in one of two areas: post-training methods such as distillation or LoRA, or the evaluation of visual generative models.
ML engineering strength: Strong Python and PyTorch skills, with experience building post-training or evaluation code that others can run and maintain.
Training systems: Comfortable running and adapting post-training workloads across multiple GPUs with FSDP, DeepSpeed, or similar tools.
Experimental judgment: Able to design clean experiments, interpret the results, and make practical recommendations from the data.
Experience distilling or fine-tuning large-scale diffusion or video-generation models.
Experience building automated judges or reward models for visual content, based on multimodal LLMs or vision-language models.
Experience with large-scale evaluation datasets, annotation pipelines, or preference data.
Experience building agentic visual systems.
Contributions to major open-source ML projects.
Core technical work: Build the systems that let Nunchux make models faster without losing the quality customers care about.
From research to product: Your work will inform model releases, support customization, and run in production rather than stay in a notebook.
Technical collaboration: Work closely with a CMU PhD on our post-training work, and with the Nunchux research and inference teams.
Proven traction: Build on open-source work with more than 4 million model downloads, and on growing industry partnerships.
The team: Work with world-class researchers from MIT, Berkeley, and CMU, and with industry veterans from NVIDIA, AMD, Snowflake, and Adobe.
Compensation: $180,000 to $250,000 USD base salary, plus equity and comprehensive benefits that include health insurance and a 401(k). Actual compensation will depend on relevant experience, skills, and qualifications.
Location: San Francisco, CA. 4 days in office, 1 day remote.
Start date: As soon as available
Visa: We sponsor H-1B and other work visas for exceptional candidates.
Learn more: nunchux.ai
Apply: Please apply through our Ashby careers page.
Nunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT NUNCHUX AI\n\nNunchux AI https://nunchux.ai/ builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, and Zhekai Zhang with CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Our work is built on nearly a decade of research from MIT and CMU, including nunchaku https://github.com/nunchux-ai/nunchaku project, whose models have surpassed 4 million downloads. We have top VC backing, and we build for enterprises and for millions of developers.\n\n \n\n\nTHE ROLE\n\nNunchux makes visual generative models fast and efficient enough for production. As a Machine Learning Engineer on post-training and evaluation, you will build post-training pipelines that improve model efficiency and quality, measure the trade-offs, and turn the best recipes into reliable workflows for the models we ship.\n\n\n\n\nWHAT YOU’LL DO\n\n - Develop post-training recipes: Establish and validate post-training recipes for image and video generation models.\n\n - Build data pipelines: Curate and version the training and benchmark data used for post-training and model evaluation.\n\n - Build evaluation systems: Create benchmarks and automated judges, and run human preference studies, to measure generation quality, fidelity, and efficiency.\n\n - Benchmark and release models: Measure models against relevant baselines, catch quality regressions, and give clear evidence for release decisions.\n\n - Bring research into production: Keep up with post-training and evaluation research, then integrate the useful methods into the team's pipelines.\n \n \n\n\nWHAT YOU BRING\n\n - Visual generative-model experience: Hands-on experience with image or video generation models, or with other multimodal visual systems. You understand the artifacts, failure modes, and quality trade-offs that matter in generated visual content.\n\n - Post-training or evaluation depth: Depth in one of two areas: post-training methods such as distillation or LoRA, or the evaluation of visual generative models.\n\n - ML engineering strength: Strong Python and PyTorch skills, with experience building post-training or evaluation code that others can run and maintain.\n\n - Training systems: Comfortable running and adapting post-training workloads across multiple GPUs with FSDP, DeepSpeed, or similar tools.\n\n - Experimental judgment: Able to design clean experiments, interpret the results, and make practical recommendations from the data.\n\n\nBONUS POINTS\n\n - Experience distilling or fine-tuning large-scale diffusion or video-generation models.\n\n - Experience building automated judges or reward models for visual content, based on multimodal LLMs or vision-language models.\n\n - Experience with large-scale evaluation datasets, annotation pipelines, or preference data.\n\n - Experience building agentic visual systems.\n\n - Contributions to major open-source ML projects.\n\n\nWHY JOIN\n\n - Core technical work: Build the systems that let Nunchux make models faster without losing the quality customers care about.\n\n - From research to product: Your work will inform model releases, support customization, and run in production rather than stay in a notebook.\n\n - Technical collaboration: Work closely with a CMU PhD on our post-training work, and with the Nunchux research and inference teams.\n\n - Proven traction: Build on open-source work with more than 4 million model downloads, and on growing industry partnerships.\n\n - The team: Work with world-class researchers from MIT, Berkeley, and CMU, and with industry veterans from NVIDIA, AMD, Snowflake, and Adobe.\n\n - Compensation: $180,000 to $250,000 USD base salary, plus equity and comprehensive benefits that include health insurance and a 401(k). Actual compensation will depend on relevant experience, skills, and qualifications.\n\nLocation: San Francisco, CA. 4 days in office, 1 day remote. \n\nStart date: As soon as available \n\nVisa: We sponsor H-1B and other work visas for exceptional candidates. \n\nLearn more: nunchux.ai http://nunchux.ai \n\nApply: Please apply through our Ashby careers page.\n\nNunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"$180K – $250K • Offers Equity","scrapeableCompensationSalarySummary":"$180K - $250K","compensationTiers":[{"id":"1960c1a9-0e82-4e30-a567-c75d8e5ba658","tierSummary":"$180K – $250K • Offers Equity","title":"All","additionalInformation":null,"components":[{"id":"66dcd52d-7f9a-4f4e-9d6b-5a7e519a6d7b","summary":"$180K – $250K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"id":"7dac77e6-184b-4469-8538-aa6ca232dd88","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":180000,"maxValue":250000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"7924452c-128d-42f2-90ef-b52123f5566b","title":"Machine Learning Engineer, Model Integrations","department":"Engineer","team":"Engineer","employmentType":"FullTime","location":"San Francisco Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-09-06T03:04:56.029+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94104","addressRegion":"California","streetAddress":"44 Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/nunchux/7924452c-128d-42f2-90ef-b52123f5566b","applyUrl":"https://jobs.ashbyhq.com/nunchux/7924452c-128d-42f2-90ef-b52123f5566b/application","descriptionHtml":"Nunchux AI builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, and Zhekai Zhang with CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Our work is built on nearly a decade of research from MIT and CMU, including nunchaku project, whose models have surpassed 4 million downloads. We have top VC backing, and we build for enterprises and for millions of developers.
Help Nunchux bring new image and video models to Modelverse as soon as they become available. Your focus is speed to launch: get the model running, connect it to the platform, and ship a working first version.
You will own the initial integration and the Day 1 release, working with the cloud team on deployment and with the product engineers on the API and Modelverse integration. After launch, you will hand off the further work on performance, cost, and model quality to the relevant teams. Between launches, you will maintain and extend our shared code for model integration and serving.
Prototype new models: Get new image and video models running quickly with the available code and weights. Run test examples and identify what each model needs for launch.
Ship the first version: Coordinate the deployment with the cloud team, and the API and Modelverse integration with the product engineers. Get the basic parameters, examples, and developer instructions ready for Day 1.
Speed up the launch process: Find bottlenecks, automate manual steps, and simplify the handoffs with the cloud and product teams. Build reusable adapters and launch scripts to reduce the work each new model takes.
Verify and hand off: Test the integration end to end, including the outputs and the error handling. Fix launch blockers, and document the known limitations for the teams that take on further optimization.
Maintain the integration platform: Between launches, fix bugs and add support for new model interfaces, providers, and modalities in our shared integration and serving code.
Image or video model experience: You have run and adapted generation models, or integrated provider APIs.
Python and PyTorch: Strong in both, and comfortable reading model code, adapting inference pipelines, and debugging model behavior.
Production systems experience: You have deployed a model or built an API integration. Comfortable working with existing serving tools, reading logs, and debugging failed requests.
Working style: Quick to learn unfamiliar model code and get a prototype working. Able to keep the first release focused, resolve launch blockers, and coordinate with teammates to ship.
Experience with Hugging Face, Diffusers, ComfyUI, or model-serving frameworks such as SGLang or vLLM.
Experience working with external model providers, or building a multi-model API platform.
Contributions to open-source ML or inference projects.
Own model launches: Take new models from their first run to a release developers can use on Modelverse.
Work with new models: Get hands-on with image and video models as they ship, across providers and architectures.
Proven traction: Build on open-source work with more than 4 million model downloads, and on growing industry partnerships.
The team: Work with researchers from MIT, Berkeley, and CMU, and with industry veterans from NVIDIA, AMD, Snowflake, and Adobe.
Compensation: $170,000 to $240,000 USD base salary, plus equity and comprehensive benefits that include health insurance and a 401(k). Actual compensation will depend on relevant experience, skills, and qualifications.
Location: San Francisco, CA. 4 days in office, 1 day remote.
Start date: As soon as available
Visa: We sponsor H-1B and other work visas for exceptional candidates.
Learn more: nunchux.ai
Apply: Please apply through our Ashby careers page.
Nunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT NUNCHUX AI\n\nNunchux AI https://nunchux.ai/ builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, and Zhekai Zhang with CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Our work is built on nearly a decade of research from MIT and CMU, including nunchaku https://github.com/nunchux-ai/nunchaku project, whose models have surpassed 4 million downloads. We have top VC backing, and we build for enterprises and for millions of developers.\n\n \n\n\nTHE ROLE\n\nHelp Nunchux bring new image and video models to Modelverse as soon as they become available. Your focus is speed to launch: get the model running, connect it to the platform, and ship a working first version.\n\nYou will own the initial integration and the Day 1 release, working with the cloud team on deployment and with the product engineers on the API and Modelverse integration. After launch, you will hand off the further work on performance, cost, and model quality to the relevant teams. Between launches, you will maintain and extend our shared code for model integration and serving.\n\n\n\n\nWHAT YOU’LL DO\n\n - Prototype new models: Get new image and video models running quickly with the available code and weights. Run test examples and identify what each model needs for launch.\n\n - Ship the first version: Coordinate the deployment with the cloud team, and the API and Modelverse integration with the product engineers. Get the basic parameters, examples, and developer instructions ready for Day 1.\n\n - Speed up the launch process: Find bottlenecks, automate manual steps, and simplify the handoffs with the cloud and product teams. Build reusable adapters and launch scripts to reduce the work each new model takes.\n\n - Verify and hand off: Test the integration end to end, including the outputs and the error handling. Fix launch blockers, and document the known limitations for the teams that take on further optimization.\n\n - Maintain the integration platform: Between launches, fix bugs and add support for new model interfaces, providers, and modalities in our shared integration and serving code.\n\n\nWHAT YOU BRING\n\n - Image or video model experience: You have run and adapted generation models, or integrated provider APIs.\n\n - Python and PyTorch: Strong in both, and comfortable reading model code, adapting inference pipelines, and debugging model behavior.\n\n - Production systems experience: You have deployed a model or built an API integration. Comfortable working with existing serving tools, reading logs, and debugging failed requests.\n\n - Working style: Quick to learn unfamiliar model code and get a prototype working. Able to keep the first release focused, resolve launch blockers, and coordinate with teammates to ship.\n\n\nBONUS POINTS\n\n - Experience with Hugging Face, Diffusers, ComfyUI, or model-serving frameworks such as SGLang or vLLM.\n\n - Experience working with external model providers, or building a multi-model API platform.\n\n - Contributions to open-source ML or inference projects.\n\n\nWHY JOIN\n\n - Own model launches: Take new models from their first run to a release developers can use on Modelverse.\n\n - Work with new models: Get hands-on with image and video models as they ship, across providers and architectures.\n\n - Proven traction: Build on open-source work with more than 4 million model downloads, and on growing industry partnerships.\n\n - The team: Work with researchers from MIT, Berkeley, and CMU, and with industry veterans from NVIDIA, AMD, Snowflake, and Adobe.\n\n - Compensation: $170,000 to $240,000 USD base salary, plus equity and comprehensive benefits that include health insurance and a 401(k). Actual compensation will depend on relevant experience, skills, and qualifications.\n\nLocation: San Francisco, CA. 4 days in office, 1 day remote. \n\nStart date: As soon as available \n\nVisa: We sponsor H-1B and other work visas for exceptional candidates. \n\nLearn more: nunchux.ai http://nunchux.ai \n\nApply: Please apply through our Ashby careers page.\n\nNunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"$170K – $240K • Offers Equity","scrapeableCompensationSalarySummary":"$170K - $240K","compensationTiers":[{"id":"5be62536-5707-4364-8ee7-4e39b3788aa6","tierSummary":"Base $170K – $240K • Offers Equity","title":"All","additionalInformation":null,"components":[{"id":"ba304514-c4ed-4c74-8dc4-9e3121d407b4","summary":"Base $170K – $240K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":240000},{"id":"8057dc7e-ebf6-4214-ab17-6652b939cf48","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":170000,"maxValue":240000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"b757dbda-f21a-4854-af67-e5e219f4242c","title":"Founding Marketer","department":"GTM","team":"GTM","employmentType":"FullTime","location":"San Francisco Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-06T02:36:58.782+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94104","addressRegion":"California","streetAddress":"44 Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/nunchux/b757dbda-f21a-4854-af67-e5e219f4242c","applyUrl":"https://jobs.ashbyhq.com/nunchux/b757dbda-f21a-4854-af67-e5e219f4242c/application","descriptionHtml":"Nunchux AI builds infrastructure that makes multimodal generative AI faster and cheaper to serve and easier to build on. This includes image, video, and world models. Our work comes from nearly ten years of research at MIT and CMU. Our open-source project, nunchaku, has more than 4 million model downloads. Top VCs support us, and we build for enterprises and millions of developers.
Nunchux Modelverse is our model hub and API platform for multimodal generative AI. Developers use it to run the latest image and video models. Our business is growing, and we are looking for a person to help more developers discover and build on Modelverse.
As our Founding Marketer, you shape how Nunchux reaches developers, from the first announcement to the first API call. You turn our technical work into traffic, sign-ups, and paying users. You focus on developer channels, communities, and technical content. You work closely with the founders and engineers, and you have the freedom to shape the Nunchux voice and how we grow our developer audience. Your first priority is to grow the number of developers who activate and pay on Modelverse.
This role sits between developer marketing and developer advocacy. Your job is to help developers discover Nunchux, get to their first API call, and become paying users.
Grow activation and conversion: Track how developers move from sign-up to first API call to payment. Work with our engineers to improve onboarding and the self-serve flow.
Lead model launches: Plan and announce new models on Modelverse on their release day, across X, Reddit, Hacker News, and Discord.
Tell the performance story: Turn public benchmark results into comparison pages, posts, and landing pages.
Create technical content: Write for the Nunchux blog and run our developer newsletter. Write customer stories, and work with our engineers to publish technical posts, demos, and benchmarks.
Grow our communities: Build our presence in open-source model and AI developer communities, including our Discord, GitHub, and Hugging Face pages.
Build developer programs: Create programs that help startups and developers get started on Modelverse. Lead co-marketing with partners.
Partner with sales: Create case studies, one-pagers, and pitch material that help the GTM team win large accounts.
Developer marketing experience: 3+ years in developer marketing, developer relations, or growth at a developer tools, API, or AI infrastructure company. You can show how your work increased active or paying users.
Technical knowledge: You enjoy technical topics. You can read code samples and talk about models, latency, and pricing with engineers.
Writing: You write clear and accurate technical content that engineers want to read.
Data skills: You set up tracking, read funnel data, and use it to make decisions.
Active participation in AI developer or open-source communities.
Experience with generative image or video models, or with ComfyUI.
An audience on X, YouTube, or a technical blog.
Experience with product-led growth at an early-stage startup.
Ability to build simple demos or landing pages yourself.
Real ownership: You build the marketing function from the start and shape how developers see Nunchux.
Strong material to work with: You tell the story of a live platform, fast public endpoints, and an open-source project with more than 4 million model downloads.
Close to engineering: You work directly with the researchers and engineers who build our models and infrastructure.
Room to grow: As the business grows, your role and your team grow with it.
The team: Work alongside MIT, Berkeley, and CMU researchers and veterans from NVIDIA, AMD, Snowflake, and Adobe.
Compensation: $160,000–$220,000 USD base salary + meaningful equity + comprehensive benefits, including health, dental, and vision insurance and 401K. Actual compensation will depend on relevant experience, skills, and qualifications.
Location: San Francisco, CA. 4 days in office, 1 day remote.
Start date: As soon as available
Visa: We sponsor H-1B and other work visas for exceptional candidates.
Learn more: nunchux.ai
Apply: Please apply through our Ashby careers page.
Nunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT NUNCHUX AI\n\nNunchux AI https://nunchux.ai builds infrastructure that makes multimodal generative AI faster and cheaper to serve and easier to build on. This includes image, video, and world models. Our work comes from nearly ten years of research at MIT and CMU. Our open-source project, nunchaku https://github.com/nunchux-ai/nunchaku, has more than 4 million model downloads. Top VCs support us, and we build for enterprises and millions of developers.\n\n\nTHE ROLE\n\nNunchux Modelverse is our model hub and API platform for multimodal generative AI. Developers use it to run the latest image and video models. Our business is growing, and we are looking for a person to help more developers discover and build on Modelverse.\n\nAs our Founding Marketer, you shape how Nunchux reaches developers, from the first announcement to the first API call. You turn our technical work into traffic, sign-ups, and paying users. You focus on developer channels, communities, and technical content. You work closely with the founders and engineers, and you have the freedom to shape the Nunchux voice and how we grow our developer audience. Your first priority is to grow the number of developers who activate and pay on Modelverse.\n\nThis role sits between developer marketing and developer advocacy. Your job is to help developers discover Nunchux, get to their first API call, and become paying users.\n\n\nWHAT YOU’LL DO\n\n - Grow activation and conversion: Track how developers move from sign-up to first API call to payment. Work with our engineers to improve onboarding and the self-serve flow.\n\n - Lead model launches: Plan and announce new models on Modelverse on their release day, across X, Reddit, Hacker News, and Discord.\n\n - Tell the performance story: Turn public benchmark results into comparison pages, posts, and landing pages.\n\n - Create technical content: Write for the Nunchux blog and run our developer newsletter. Write customer stories, and work with our engineers to publish technical posts, demos, and benchmarks.\n\n - Grow our communities: Build our presence in open-source model and AI developer communities, including our Discord, GitHub, and Hugging Face pages.\n\n - Build developer programs: Create programs that help startups and developers get started on Modelverse. Lead co-marketing with partners.\n\n - Partner with sales: Create case studies, one-pagers, and pitch material that help the GTM team win large accounts.\n\n\nWHAT YOU BRING\n\n - Developer marketing experience: 3+ years in developer marketing, developer relations, or growth at a developer tools, API, or AI infrastructure company. You can show how your work increased active or paying users.\n\n - Technical knowledge: You enjoy technical topics. You can read code samples and talk about models, latency, and pricing with engineers.\n\n - Writing: You write clear and accurate technical content that engineers want to read.\n\n - Data skills: You set up tracking, read funnel data, and use it to make decisions.\n\n\nBONUS POINTS\n\n - Active participation in AI developer or open-source communities.\n\n - Experience with generative image or video models, or with ComfyUI.\n\n - An audience on X, YouTube, or a technical blog.\n\n - Experience with product-led growth at an early-stage startup.\n\n - Ability to build simple demos or landing pages yourself.\n\n\nWHY JOIN\n\n - Real ownership: You build the marketing function from the start and shape how developers see Nunchux.\n\n - Strong material to work with: You tell the story of a live platform, fast public endpoints, and an open-source project with more than 4 million model downloads.\n\n - Close to engineering: You work directly with the researchers and engineers who build our models and infrastructure.\n\n - Room to grow: As the business grows, your role and your team grow with it.\n\n - The team: Work alongside MIT, Berkeley, and CMU researchers and veterans from NVIDIA, AMD, Snowflake, and Adobe.\n\n - Compensation: $160,000–$220,000 USD base salary + meaningful equity + comprehensive benefits, including health, dental, and vision insurance and 401K. Actual compensation will depend on relevant experience, skills, and qualifications.\n\nLocation: San Francisco, CA. 4 days in office, 1 day remote.\n\nStart date: As soon as available\n\nVisa: We sponsor H-1B and other work visas for exceptional candidates.\n\nLearn more: nunchux.ai http://nunchux.ai\n\nApply: Please apply through our Ashby careers page.\n\nNunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"$160K – $220K • Offers Equity • Actual compensation will depend on relevant experience, skills, and qualifications.","scrapeableCompensationSalarySummary":"$160K - $220K","compensationTiers":[{"id":"d4d262f8-c2eb-4aca-8508-12881348e10b","tierSummary":"Base $160K – $220K • Offers Equity • Actual compensation will depend on relevant experience, skills, and qualifications.","title":"All","additionalInformation":"Actual compensation will depend on relevant experience, skills, and qualifications.","components":[{"id":"bed9462f-e78e-4d15-9412-5491e3751bd5","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"e3d59622-8374-4b90-a110-8731cdecb9de","summary":"Base $160K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":220000}]}},{"id":"502160b6-831d-4146-aef6-42c2d5a91c22","title":"Founding GTM","department":"GTM","team":"GTM","employmentType":"FullTime","location":"San Francisco Office","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-10-06T02:36:41.645+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"94104","addressRegion":"California","streetAddress":"44 Montgomery Street","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/nunchux/502160b6-831d-4146-aef6-42c2d5a91c22","applyUrl":"https://jobs.ashbyhq.com/nunchux/502160b6-831d-4146-aef6-42c2d5a91c22/application","descriptionHtml":"Nunchux AI builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, Zhekai Zhang, and CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Built on nearly a decade of research from MIT and CMU, our work includes nunchaku, whose models have surpassed 4 million downloads. We’re backed by top VCs and building for enterprises and millions of developers.
Leading AI image, video, and creative companies run production workloads on Nunchux, and our revenue is growing. We are looking for our first GTM hire to turn that traction into a repeatable sales motion.
As Founding GTM, you will be a hands-on seller. You will find and qualify leads, run technical sales cycles, shape commercial terms with the founders, and close deals. You will work closely with founders and engineers to turn customer conversations into clear priorities.
Your first priority is winning new enterprise customers. Once the core sales motion is working, your scope can expand to account growth, partnerships, and building the GTM team. You start with a live platform, current customers, and engineers who support customer onboarding.
Build the pipeline: Find AI model companies and AI application companies with large image and video workloads, and start conversations with them.
Win new customers: Lead each deal from first contact to signed contract. Shape pricing, contract terms, and SLAs with the founders.
Grow customer relationships: Help current customers succeed and find new workloads that we can serve for them.
Develop partnerships: Build relationships with platforms and model companies that can bring developers to Modelverse.
Partner with engineering: Share customer needs early so founders and engineers can plan together.
Track and share progress: Maintain a clear view of the pipeline. Share the forecast and results with the founders each week.
Build the GTM foundation: Create the sales playbook, pricing guidance, and contract templates. As the business grows, help hire and develop the GTM team.
Sales experience: 4+ years selling cloud infrastructure, GPU compute, or AI APIs to technical buyers, with a record of closing large contracts.
Startup sales experience: You were the first or an early sales hire at a startup and built the pipeline and sales process yourself.
Technical knowledge: You enjoy technical discussions and can talk about models, latency, throughput, and cost per generation with engineering leaders and ML engineers.
Communication: You write and speak clearly with founders, engineers, and executives.
Existing relationships with founders or engineering leaders at AI companies.
Experience selling to both US and international customers. Fluency in Mandarin Chinese.
Experience as a founder.
Experience selling to generative image or video companies.
Experience with partnership, marketplace, or reseller agreements.
Build GTM from the start: Establish how Nunchux finds, wins, and grows customer relationships.
A live platform: Sell a production platform already used by AI companies.
Room to grow: As the business grows, your role and team can grow with it.
The team: Work alongside MIT, Berkeley, and CMU researchers and veterans from NVIDIA, AMD, Snowflake, and Adobe.
Compensation: $160,000–$200,000 USD base salary, with $360,000–$400,000 on-target earnings, plus meaningful equity and comprehensive benefits, including health insurance and 401K. Variable compensation is tied to closed revenue. Actual compensation will depend on relevant experience, skills, and qualifications.
Location: San Francisco, CA. 4 days in office, 1 day remote.
Start date: As soon as available
Visa: We sponsor H-1B and other work visas for exceptional candidates.
Learn more: nunchux.ai
Apply: Please apply through our Ashby careers page.
Nunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
","descriptionPlain":"ABOUT NUNCHUX AI\n\nNunchux AI https://nunchux.ai builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, Zhekai Zhang, and CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Built on nearly a decade of research from MIT and CMU, our work includes nunchaku https://github.com/nunchux-ai/nunchaku, whose models have surpassed 4 million downloads. We’re backed by top VCs and building for enterprises and millions of developers.\n\n\nTHE ROLE\n\nLeading AI image, video, and creative companies run production workloads on Nunchux, and our revenue is growing. We are looking for our first GTM hire to turn that traction into a repeatable sales motion.\n\nAs Founding GTM, you will be a hands-on seller. You will find and qualify leads, run technical sales cycles, shape commercial terms with the founders, and close deals. You will work closely with founders and engineers to turn customer conversations into clear priorities.\n\nYour first priority is winning new enterprise customers. Once the core sales motion is working, your scope can expand to account growth, partnerships, and building the GTM team. You start with a live platform, current customers, and engineers who support customer onboarding.\n\n\nWHAT YOU’LL DO\n\n - Build the pipeline: Find AI model companies and AI application companies with large image and video workloads, and start conversations with them.\n\n - Win new customers: Lead each deal from first contact to signed contract. Shape pricing, contract terms, and SLAs with the founders.\n\n - Grow customer relationships: Help current customers succeed and find new workloads that we can serve for them.\n\n - Develop partnerships: Build relationships with platforms and model companies that can bring developers to Modelverse.\n\n - Partner with engineering: Share customer needs early so founders and engineers can plan together.\n\n - Track and share progress: Maintain a clear view of the pipeline. Share the forecast and results with the founders each week.\n\n - Build the GTM foundation: Create the sales playbook, pricing guidance, and contract templates. As the business grows, help hire and develop the GTM team.\n\n\nWHAT YOU BRING\n\n - Sales experience: 4+ years selling cloud infrastructure, GPU compute, or AI APIs to technical buyers, with a record of closing large contracts.\n\n - Startup sales experience: You were the first or an early sales hire at a startup and built the pipeline and sales process yourself.\n\n - Technical knowledge: You enjoy technical discussions and can talk about models, latency, throughput, and cost per generation with engineering leaders and ML engineers.\n\n - Communication: You write and speak clearly with founders, engineers, and executives.\n\n\nBONUS POINTS\n\n - Existing relationships with founders or engineering leaders at AI companies.\n\n - Experience selling to both US and international customers. Fluency in Mandarin Chinese.\n\n - Experience as a founder.\n\n - Experience selling to generative image or video companies.\n\n - Experience with partnership, marketplace, or reseller agreements.\n\n\nWHY JOIN\n\n - Build GTM from the start: Establish how Nunchux finds, wins, and grows customer relationships.\n\n - A live platform: Sell a production platform already used by AI companies.\n\n - Room to grow: As the business grows, your role and team can grow with it.\n\n - The team: Work alongside MIT, Berkeley, and CMU researchers and veterans from NVIDIA, AMD, Snowflake, and Adobe.\n\n - Compensation: $160,000–$200,000 USD base salary, with $360,000–$400,000 on-target earnings, plus meaningful equity and comprehensive benefits, including health insurance and 401K. Variable compensation is tied to closed revenue. Actual compensation will depend on relevant experience, skills, and qualifications.\n\nLocation: San Francisco, CA. 4 days in office, 1 day remote.\n\nStart date: As soon as available\n\nVisa: We sponsor H-1B and other work visas for exceptional candidates.\n\nLearn more: nunchux.ai http://nunchux.ai\n\nApply: Please apply through our Ashby careers page.\n\nNunchux AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.","compensation":{"compensationTierSummary":"$160K – $200K • Offers Equity • OTE $360,000–$400,000","scrapeableCompensationSalarySummary":"$160K - $200K","compensationTiers":[{"id":"4d006b2b-86ed-4be3-8862-c8ab8654ca38","tierSummary":"$160K – $200K • Offers Equity • OTE $360,000–$400,000","title":"All","additionalInformation":"OTE $360,000–$400,000","components":[{"id":"3748b6f9-0d45-4c04-b9fd-1db25bbcc3ac","summary":"$160K – $200K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":200000},{"id":"613154dd-d1a9-4bc5-8d0a-ae10ff50c178","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":160000,"maxValue":200000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}}],"apiVersion":"1"}