Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.
Location as listed by the employer: “Bellevue”
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About this role
Designworkstalent is hiring for a Staff GPU Performance / Kernel Engineer role (full-time). See the official posting for full details.
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.
- Ability to independently own technically complex problems and drive solutions in a fast-moving engineering environment.
- Strong systems programming and performance engineering mindset.
- Experience optimizing workloads across multiple GPU platforms, including NVIDIA and AMD architectures.
- Experience with GPU compiler technologies, runtime optimization, or low-level systems performance.
Summarized from the employer's posting — check the full posting for every requirement.
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