Designworkstalent
GPU Performance / Kernel Engineer
Bellevue
Sponsorship not specifiedDetected 18 hours ago
Cloud PlatformsPlatform EngineeringMachine LearningAgentic AISystems Engineering
About the role
- Backed by significant long-term investment, the company combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization.
- This role focuses on improving GPU utilization, reducing latency, and maximizing throughput across training and inference environments by tuning kernels, identifying performance bottlenecks, and driving efficiency across the GPU fleet.
- This is a high-impact engineering role focused on extracting maximum performance from large-scale GPU infrastructure.
Responsibilities
- Profile, analyze, and optimize GPU kernels to improve latency, throughput, and overall utilization.
- Develop benchmarking methodologies and performance measurement practices across GPU infrastructure.
- Ability to independently own technically complex problems and drive solutions in a fast-moving engineering environment.
- Optimize the performance layer behind one of the industry's most advanced AI infrastructure platforms.
- Collaborate with world-class engineers building the infrastructure powering the next generation of AI applications.
Requirements
- Strong experience with GPU kernel development and performance optimization using technologies such as CUDA, ROCm, or comparable GPU programming frameworks.
- Demonstrated experience improving GPU utilization, reducing latency, or increasing throughput for production AI workloads.
- Strong understanding of GPU architecture, memory hierarchy, parallel computing, and the data path from application layer to hardware execution.
- Experience profiling and debugging performance issues in complex AI or distributed computing environments.
- U.S. work authorization is required. Visa sponsorship is not currently available.
Nice to have
- Experience optimizing workloads across multiple GPU platforms, including NVIDIA and AMD architectures.
- Experience with GPU compiler technologies, runtime optimization, or low-level systems performance.
- Contributions to open-source GPU performance projects, compiler tooling, or AI systems optimization.
- Background working with large-scale AI training, inference platforms, HPC environments, or cloud GPU infrastructure.
- Familiarity with GPU profiling and optimization tools such as Nsight Systems, Nsight Compute, ROCm profiling tools, or similar technologies.
- Competitive base pay for Bellevue market
- These awards are allocated based on individual performance
- Approximately three days per week in the office.
Compensation
- Competitive base pay for Bellevue market
- Certain roles are eligible for additional rewards, including merit increases, annual bonus, and stock. These awards are allocated based on individual performance
Benefits
- Work closely with AI infrastructure, machine learning, and platform engineering teams to understand workload characteristics and optimize system behavior.
- U.S. based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, employees also receive per calendar year, paid holidays.
Company info
- Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern tooling and automation to build infrastructure capable of supporting the industry's most demanding AI workloads.
Visa & Work Authorization
- U.S. work authorization is required.
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