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Staff GPU Performance / Kernel Engineer

designworkstalentBellevueEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

Hybrid in Bellevue, Washington, this Staff GPU Performance / Kernel Engineer position centers on optimizing the data plane for large-scale artificial intelligence workloads. It suits engineers who enjoy solving deep technical challenges involving GPU computing, kernel optimization, and hardware performance.

Role Overview

This is a high-impact engineering position focused on extracting maximum performance from large-scale graphics processing unit infrastructure. The professional will work at the intersection of architecture, artificial intelligence workloads, systems performance, and low-level optimization. Responsibilities include analyzing workload behavior, optimizing performance-critical code paths, and developing techniques to operate artificial intelligence systems efficiently at scale.

Key Responsibilities

Profile, analyze, and optimize GPU kernels to improve latency, throughput, and overall utilization.
Identify and eliminate data-plane bottlenecks impacting performance across large-scale artificial intelligence workloads.
Tune performance-critical workloads across training and inference environments.
Collaborate with artificial intelligence infrastructure, machine learning, and platform engineering teams to understand workload characteristics and optimize system behavior.
Develop benchmarking methodologies and performance measurement practices across infrastructure.
Evaluate emerging technologies, performance tools, and optimization techniques as hardware platforms evolve.
Contribute to engineering practices that improve efficiency, scalability, and reliability across the fleet.

Requirements

Strong experience with GPU kernel development and performance optimization using technologies such as CUDA, ROCm, or comparable programming frameworks.
Demonstrated experience improving utilization, reducing latency, or increasing throughput for production artificial intelligence workloads.
Strong understanding of architecture, memory hierarchy, parallel computing, and the data path from application layer to hardware execution.
Experience profiling and debugging performance issues in complex artificial intelligence or distributed computing environments.
Ability to independently own technically complex problems and drive solutions in a fast-moving engineering environment.
Strong systems programming and performance engineering mindset.
United States work authorization.

Nice to Have

Experience optimizing workloads across multiple hardware platforms, including NVIDIA and AMD architectures.
Experience with compiler technologies, runtime optimization, or low-level systems performance.
Contributions to open-source performance projects, compiler tooling, or systems optimization.
Background working with large-scale training, inference platforms, high-performance computing environments, or cloud infrastructure.
Familiarity with profiling and optimization tools such as Nsight Systems, Nsight Compute, ROCm profiling tools, or similar technologies.

Skills and Tools

CUDA
ROCm
Nsight Systems
Nsight Compute
GPU compilers
Runtime optimization
Distributed computing environments

Salary and Benefits

Competitive base pay for the Bellevue market with eligibility for merit increases, annual bonuses, and long-term incentives based on individual performance.
Medical, dental, and vision insurance for United States based employees.
A 401(k) plan with company match.
Paid holidays per calendar year.

About the Company

The organization is a well-funded, rapidly growing artificial intelligence infrastructure company building a next-generation cloud platform designed to power the full lifecycle of artificial intelligence. It combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the job located?

The role is hybrid and based in downtown Bellevue, Washington, requiring approximately three days per week in the office. Candidates elsewhere in the United States who are open to relocation may also apply.

Is visa sponsorship available?

No, visa sponsorship is not currently available, and United States work authorization is required.

What kind of experience is required for this position?

Candidates need strong experience with GPU kernel development and performance optimization using technologies like CUDA or ROCm, demonstrated experience improving utilization for production AI workloads, a strong understanding of architecture and parallel computing, and profiling experience.

What benefits are included?

United States based employees receive medical, dental, and vision insurance, a 401(k) plan with company match, and paid holidays per calendar year, alongside competitive base pay and potential performance-based bonuses and incentives.

Ready to apply?

The application is on the official designworkstalent careers page.

Apply on company site