They are looking for a GPU Performance Engineer to optimize their H100 infrastructure and enhance model serving performance through advanced profiling and CUDA programming. Responsibilities : • ...
They are looking for a GPU Performance Engineer to optimize their H100 infrastructure and enhance model serving performance through advanced profiling and CUDA programming. Responsibilities : • ...
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 ...
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 ...
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 ...
Quick apply
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 ...
As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...
As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...
GPU Performance Engineer
Folsom, CA · On-site
$141.91 - $269.10/hr
As part of Intel's GPU performance team, the candidate will be working on Intel's new Graphics ... You will be working with a group of HW and SW architects, designers/developers in a multi ...
GPU Performance Engineer
Folsom, CA · On-site
$141.91 - $269.10/hr
As part of Intel's GPU performance team, the candidate will be working on Intel's new Graphics ... You will be working with a group of HW and SW architects, designers/developers in a multi ...
Performance Engineer, GPU
San Francisco, CA · On-site
$280K - $850K/yr
As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...
Performance Engineer, GPU
San Francisco, CA · On-site
$280K - $850K/yr
As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...
GPU Performance Engineer, Platform Architecture
Cupertino, CA · On-site
$181.10 - $318.40/hr
GPU Performance Engineer, Platform Architecture Cupertino, California, United States Hardware Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products ...
GPU Performance Engineer, Platform Architecture
Cupertino, CA · On-site
$181.10 - $318.40/hr
GPU Performance Engineer, Platform Architecture Cupertino, California, United States Hardware Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products ...
They are seeking a Data Center GPU Performance Engineer to guide GPU architecture and drive innovation in data center applications, particularly for Large Language Models. The role involves analyzing ...
They are seeking a Data Center GPU Performance Engineer to guide GPU architecture and drive innovation in data center applications, particularly for Large Language Models. The role involves analyzing ...
As part of our Silicon Engineering Group, you'll help design and manufacture our next-generation, high-performance, power-efficient GPU! You'll ensure Apple products and services can seamlessly and ...
As part of our Silicon Engineering Group, you'll help design and manufacture our next-generation, high-performance, power-efficient GPU! You'll ensure Apple products and services can seamlessly and ...
GPU Performance Analysis Engineer
$142K - $263K/yr
The GPU Performance Analysis Engineer will be responsible for delivering high-quality, low-power graphics IP that meets our performance and power goals. You will collaborate closely with the ...
GPU Performance Analysis Engineer
$142K - $263K/yr
The GPU Performance Analysis Engineer will be responsible for delivering high-quality, low-power graphics IP that meets our performance and power goals. You will collaborate closely with the ...
Description As a GPU performance modeling engineer, you will be responsible for developing cycle-approximate perf C/C++ models in close collaboration with architects and designers. Additionally, you ...
Description As a GPU performance modeling engineer, you will be responsible for developing cycle-approximate perf C/C++ models in close collaboration with architects and designers. Additionally, you ...
Description As a GPU performance modeling engineer, you will be responsible for developing cycle-approximate perf C/C++ models in close collaboration with architects and designers. Additionally, you ...
Description As a GPU performance modeling engineer, you will be responsible for developing cycle-approximate perf C/C++ models in close collaboration with architects and designers. Additionally, you ...
Senior GPU Inference Performance Engineer
Santa Clara, CA · On-site
$143K/yr
We are looking for a Senior GPU Inference Performance Engineer to own end-to-end performance analysis of GPU-accelerated AI inference workloads. You will profile, diagnose, and explain performance ...
Senior GPU Inference Performance Engineer
Santa Clara, CA · On-site
$143K/yr
We are looking for a Senior GPU Inference Performance Engineer to own end-to-end performance analysis of GPU-accelerated AI inference workloads. You will profile, diagnose, and explain performance ...
Senior GPU Inference Performance Engineer
Santa Clara, CA · On-site
$123K - $169K/yr
We are looking for a Senior GPU Inference Performance Engineer to own end-to-end performance analysis of GPU-accelerated AI inference workloads. You will profile, diagnose, and explain performance ...
Senior GPU Inference Performance Engineer
Santa Clara, CA · On-site
$123K - $169K/yr
We are looking for a Senior GPU Inference Performance Engineer to own end-to-end performance analysis of GPU-accelerated AI inference workloads. You will profile, diagnose, and explain performance ...
Graphics (GPU) Performance Analysis Architect
Santa Clara, CA · On-site
$180 - $280/hr
Description As a GPU Performance Analysis Engineer, your responsibilities will include the following: * Developing performance test plans to validate GPU performance. * Analyzing performance issues ...
Graphics (GPU) Performance Analysis Architect
Santa Clara, CA · On-site
$180 - $280/hr
Description As a GPU Performance Analysis Engineer, your responsibilities will include the following: * Developing performance test plans to validate GPU performance. * Analyzing performance issues ...
See your efforts in action as developers profile and analyze the performance of their applications using software and hardware that you helped craft as a member of the GPU Foundations Developer Tools ...
See your efforts in action as developers profile and analyze the performance of their applications using software and hardware that you helped craft as a member of the GPU Foundations Developer Tools ...
GPU Performance Modeling Engineer
$142K - $263K/yr
Description As a GPU performance modeling engineer, you will be responsible for developing cycle-approximate perf C/C++ models in close collaboration with architects and designers. Additionally, you ...
GPU Performance Modeling Engineer
$142K - $263K/yr
Description As a GPU performance modeling engineer, you will be responsible for developing cycle-approximate perf C/C++ models in close collaboration with architects and designers. Additionally, you ...
GPU Performance Modeling Driver Engineer
Cupertino, CA · On-site
$147.40 - $220.90/hr
GPU Performance Modeling Driver Engineer Cupertino, California, United States Hardware We are seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture GPU ...
GPU Performance Modeling Driver Engineer
Cupertino, CA · On-site
$147.40 - $220.90/hr
GPU Performance Modeling Driver Engineer Cupertino, California, United States Hardware We are seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture GPU ...
... how GPU architecture affects performance for datacenter applications, especially Large Language ... related engineering, design or development experience highly valued * BS or MS or equivalent ...
... how GPU architecture affects performance for datacenter applications, especially Large Language ... related engineering, design or development experience highly valued * BS or MS or equivalent ...
Fellow GPU Performance Optimization Engineer
San Jose, CA · On-site
$234K/yr
We are seeking a Fellow GPU Performance Optimization Engineer to join our Models and Applications team. This role focuses on maximizing performance and efficiency of large-scale AI training workloads ...
Fellow GPU Performance Optimization Engineer
San Jose, CA · On-site
$234K/yr
We are seeking a Fellow GPU Performance Optimization Engineer to join our Models and Applications team. This role focuses on maximizing performance and efficiency of large-scale AI training workloads ...
Gpu Performance Engineer information
What is a GPU performance engineer?
A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.
What are some common challenges faced by a GPU performance engineer when optimizing graphics workloads?
GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.
What are the key skills and qualifications needed to thrive as a GPU performance engineer, and why are they important?
To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.
What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?
| Aspect | Gpu Performance Engineer | Gpu Hardware Engineer |
|---|---|---|
| Primary Focus | Optimizing GPU performance, benchmarking, and tuning software | Designing, developing, and testing GPU hardware components |
| Required Skills | Programming, performance analysis, GPU architecture knowledge | Hardware design, circuit analysis, FPGA/ASIC experience |
| Work Environment | Software development teams, labs for testing performance | Hardware labs, manufacturing facilities, R&D centers |
| Common Certifications | None specific, often requires computer engineering or related degrees | Electrical engineering, VLSI design certifications |
The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.
What are popular job titles related to Gpu Performance Engineer jobs in California?
For Gpu Performance Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in California look for?
The top searched job categories for Gpu Performance Engineer jobs in California are:
What cities in California are hiring for Gpu Performance Engineer jobs?
Cities in California with the most Gpu Performance Engineer job openings:
Full-time
Re-posted 20 days ago
Job description
Job Summary:
Genmo is a research lab focused on advancing video generation technology as part of the pursuit of AGI. They are looking for a GPU Performance Engineer to optimize their H100 infrastructure and enhance model serving performance through advanced profiling and CUDA programming.
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:
Required:
• 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
Preferred:
• 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)
Company:
Genmo is an artificial intelligence creative content generation platform that specializes in developing creative products. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.
Genmo is a research lab focused on advancing video generation technology as part of the pursuit of AGI. They are looking for a GPU Performance Engineer to optimize their H100 infrastructure and enhance model serving performance through advanced profiling and CUDA programming.
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:
Required:
• 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
Preferred:
• 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)
Company:
Genmo is an artificial intelligence creative content generation platform that specializes in developing creative products. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.