Software Engineer, GPU Performance
- Location
- Los Angeles, Palo Alto, San Francisco, Toronto, Singapore
- Work mode
- On-site
- Employment type
- Full-time
About the job
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 .
Position Summary
HeyGen is building AI applications including Avatar IV, Photo Avatar, Interactive Avatar, and Video Translation. We’re looking for a Software Engineer focused on GPU performance to make the systems behind these experiences faster and more efficient.
You will work across model execution and inference infrastructure, using profiling and measurement to improve latency, throughput, and GPU cost. This role is a fit for an engineer who enjoys understanding how software uses the hardware beneath it.
Key Responsibilities
- Use NVIDIA Nsight Systems, Nsight Compute, and PyTorch Profiler to investigate GPU utilization, kernel execution, memory bandwidth, and CPU–GPU data movement.
- Identify bottlenecks across model execution, preprocessing, and inference serving, then measure the impact of each optimization.
- Improve performance through batching, scheduling, memory management, and better GPU utilization.
- Develop or integrate high-performance GPU kernels when existing implementations limit performance.
- Build benchmarks and automated checks that catch performance regressions across representative video workloads.
- Collaborate with AI researchers and infrastructure engineers to bring optimizations into production.
- Measure the effect of changes on latency, throughput, cost, and output quality.
Qualifications
- Experience optimizing GPU-based AI workloads or high-performance computing systems.
- Proficiency in Python and experience with PyTorch or a similar machine learning framework.
- Strong curiosity about GPU hardware, including memory bandwidth, cache behavior, tensor cores, and data movement between CPU and GPU.
- Experience using profiling tools to connect hardware behavior to application-level bottlenecks and validate improvements.
- Ability to turn performance experiments into reliable production changes and communicate tradeoffs clearly.
Preferred Qualifications
- Experience with CUDA, Triton, or C++ GPU programming.
- Experience optimizing video, image, audio, diffusion, or Transformer models.
- Familiarity with multi-GPU inference, GPU interconnects, quantization, or large-scale model serving.
- Experience building performance benchmarks or regression testing infrastructure.
- Prior experience in a fast-paced technology environment.
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.
Join us at HeyGen
Help us make AI video faster and more accessible. We’d love to hear from you.
From HeyGen's careers page (Greenhouse), checked 29 Oct 2026.
How to apply
- Select Apply on heygen.com. It opens HeyGen's own application form in a new tab, run on Greenhouse.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- HeyGen will reply to you directly. No real employer asks you for money to apply.
Posted 28 Sept 2026 · checked 29 Oct 2026 · Report this job
