Tech Lead, AI Compute Infrastructure
San Francisco, CAFull-timePosted 10mo agoStill listed 2w ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near San Francisco, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
HeyGen is hiring a Tech Lead, AI Compute Infrastructure. HeyGen is seeking a seasoned Technical Leader to build and scale foundational compute infrastructure for state-of-the-art AI models. This role involves optimizing GPU utilization, developing large-scale AI job frameworks, enhancing observability, and accelerating pipelines. The leader will collaborate with AI researchers and engineers to integrate innovative acceleration techniques, directly impacting model performance and developer productivity.
Key focus areas include Optimize GPU Utilization across thousands of devices for inference, training, data processing and large-scale deployment, Develop Large-Scale AI Job Framework for launching and managing massive, heterogeneous compute jobs, and Enhance Observability with world-class tracing and visualization tools for the compute cluster.
Successful candidates bring Bachelor's In Computer Science Or Equivalent Experience and 5+ Years Full-Time Industry Experience In Large-Scale MLOps. Important skills include GPU Utilization Optimization, Large-Scale AI Job Framework Development, Observability, Tracing, Visualization Tools, and CUDA Kernels. Preferred (not required): Ray, Apache Spark, Tech Lead Experience, and Generative AI Models.
Skills & qualifications
Skills
Qualifications
Full job description
About HeyGen At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com . Visit our Mission and Culture doc here .
We are seeking a seasoned Technical Leader to build and scale the foundational compute infrastructure that powers our state-of-the-art AI models—from multimodal training data pipelines to high-throughput, low-latency video generation.
Responsibilities You will be the core engineer responsible for building the robust, efficient, and scalable platform that enables our research and production teams to rapidly iterate on HeyGen's generative video models. Your contributions will directly impact model performance, developer productivity, and the final quality of every AI-generated video.
-
Optimize GPU Utilization: Design and implement mechanisms to aggressively optimize GPU and cluster utilization across thousands of devices for inference, training, data processing and large-scale deployment of our state-of-art video generation models .
-
Develop Large-Scale AI Job Framework: Build highly scalable, reliable frameworks for launching and managing massive, heterogeneous compute jobs, including multi-modal high-volume data ingestion/processing, distributed model training, and continuous evaluation/benchmarking.
-
Enhance Observability: Develop world-class observability, tracing, and visualization tools for our compute cluster to ensure reliability, diagnose performance bottlenecks (e.g., memory, bandwidth, communication).
-
Accelerate Pipelines: Collaborate closely with AI researchers and AI engineers to integrate innovative acceleration techniques (e.g., custom CUDA kernels, distributed training libraries) into production-ready, scalable training and inference pipelines.
-
Infrastructure Management: Champion the adoption and optimization of modern cloud and container technologies ( Kubernetes, Ray ) for elastic, cost-efficient scaling of our distributed systems.
Minimum Requirements We are looking for a highly motivated engineer with deep experience operating and optimizing AI infrastructure at scale.
-
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
-
5+ years of full-time industry experience in large-scale MLOps, AI infrastructure, or HPC systems .
-
Experience with data frameworks and standards like Ray, Apache Spark, LanceDB
-
Strong proficiency in Python and a high-performance language such as C++ for developing core infrastructure components.
-
Deep understanding and hands-on experience with modern orchestration and distributed computing frameworks such as Kubernetes and Ray .
-
Experience with core ML frameworks such as PyTorch, TensorFlow, or JAX .
Preferred Qualifications
-
Master's or PhD in Computer Science or a related technical field.
-
Demonstrated Tech Lead experience, driving projects from conceptual design through to production deployment across cross-functional teams.
-
Prior experience building infrastructure specifically for Generative AI models (e.g., diffusion models, GANs, or large language models) where cost and latency are critical.
-
Proven background in building and operating large-scale data infrastructure (e.g., Ray, Apache Spark) to manage petabytes of multi-modal data (video, audio, text).
-
Expertise in GPU acceleration and deep familiarity with low-level compute programming, including CUDA, NCCL , or similar technologies for efficient inter-GPU communication. What HeyGen Offers
-
Competitive salary and benefits package.
-
Dynamic and inclusive work environment.
-
Opportunities for professional growth and advancement.
-
Collaborative culture that values innovation and creativity.
-
Access to the latest technologies and tools.
HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Lead, Technical Accounting (Compute Infrastructure)OpenAI · San Francisco, CA (Hybrid) · $216–240K/yrPosted 1w agoPosted 1w ago
Staff+ Software Engineer, Infrastructure, InterpretabilityAnthropic · San Francisco, CA (Hybrid) · $405–485K/yrPosted 3w agoPosted 3w ago
Strategic Finance Lead - ComputePerplexity · San Francisco, CA (Hybrid) · $190–240K/yrPosted 1w agoPosted 1w agoDirector of Technical AccountingTogether AI · San Francisco, CA · $245–300K/yrPosted 3w agoPosted 3w ago
Senior Software Engineer, InfrastructureCommure · Mountain View, CA (Hybrid) · $170–220K/yrPosted 4 days agoPosted 4 days ago
You've read the whole posting — now see how you match it.