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Gpu Performance Engineer Jobs (NOW HIRING)

The GPU Performance Engineer will focus on the design, implementation, and maintenance of cloud infrastructure, particularly in enhancing GPU performance testing and reliability. 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 ...

OR ยท On-site

We are now looking for a GPU Performance Engineer for Neural Reconstruction! NVIDIA is building the future of computer graphics, simulation, robotics, and embodied AI. Neural reconstruction and ...

Performance Engineer, GPU

San Francisco, CA ยท 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 ...

A Software Engineer at CoreWeave contributes to the design, implementation, and maintenance of the ... You'll partner with fleet, product, and hardware teams to evolve our GPU performance testing ...

GPU Performance Engineer

Bellevue, WA ยท On-site

$120K - $160K/yr

A Software Engineer at CoreWeave contributes to the design, implementation, and maintenance of the ... You'll partner with fleet, product, and hardware teams to evolve our GPU performance testing ...

A Software Engineer at CoreWeave contributes to the design, implementation, and maintenance of the ... You'll partner with fleet, product, and hardware teams to evolve our GPU performance testing ...

We are now looking for a GPU Performance Engineer for Neural Reconstruction! NVIDIA is building the future of computer graphics, simulation, robotics, and embodied AI. Neural reconstruction and ...

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Gpu Performance Engineer information

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How much do gpu performance engineer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for gpu performance engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by GPU Performance Engineers 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 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 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?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical 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.

More about Gpu Performance Engineer jobs
What cities are hiring for Gpu Performance Engineer jobs? Cities with the most Gpu Performance Engineer job openings:
What states have the most Gpu Performance Engineer jobs? States with the most job openings for Gpu Performance Engineer jobs include:
Infographic showing various Gpu Performance Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.
GPU Performance Engineer

GPU Performance Engineer

CoreWeave

Sunnyvale, CA โ€ข On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
CoreWeave is The Essential Cloud for AIโ„ข, providing technology and tools for innovators to build and scale AI. The GPU Performance Engineer will focus on the design, implementation, and maintenance of cloud infrastructure, particularly in enhancing GPU performance testing and reliability.
Responsibilities:
โ€ข Implement and maintain solutions to problems of scale for testing and validation of CoreWeave's global infrastructure
โ€ข Develop and improve performance tests and automation workflows to expand hardware validation across the CoreWeave fleet
โ€ข Troubleshoot and maintain Kubernetes custom controllers and operators that automate infrastructure testing
โ€ข Adapt and extend open source tooling to enhance visibility into system metrics, performance, and health
โ€ข Participate in an on-call rotation
Qualifications:
Required:
โ€ข 2โ€“5 years of software engineering experience
โ€ข Competency in Go and/or Python software development
โ€ข Hands-on experience with Kubernetes at production scale
Preferred:
โ€ข Experience building backend services
โ€ข Experience testing hardware at scale
โ€ข HPC experience
โ€ข Experience with AI/ML infrastructure and training/inference
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.