Genmo
GPU Performance Engineer
Genmo - San Francisco, California, United States, 94199
Work at Genmo
Overview
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Overview
We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation.
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.
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.