GPU Software Engineer We've partnered with an innovative startup committed to leveraging AI for the betterment of humanity. They are looking top-tier
GPU Software Engineer in San Francisco and Canada.
Their design emphasizes scalability, ensuring adaptability to evolving demands. Currently, they are developing the
Spatial Processing Unit (SPU)-a cost-effective AI processor engineered from the ground up to deliver unparalleled performance per watt, powering the next generation of AI workloads.
Key Responsibilities: -Enhance and maintain a multi-target runtime system.
-Optimize kernel performance using parallelization and partitioning.
-Analyze compiler outputs for efficiency on target hardware.
-Develop tools to detect and resolve performance bottlenecks.
Preferred Requirements: -3+ years of hands-on experience with C or C .
-Strong understanding in concurrent programming
-Skilled experience with GPU programming.
-Some experience with HPC.
-Familiar with developing or maintaining libraries like CUDA or ROCm or equivalent platform.
Benefits- Medical insurance
- Pension plan
- 401(k)
This is not an graduate level role - Salaries are high and stock options offered. If you want to accelerate your career in a high performing team, then apply the link with you updated resume immediately.