3 months ago
Remote, WorldwideMid Level / Senior
Responsibilities
- Implement complex computational algorithms on GPU and CPU with demanding latency and throughput requirements.
- Refactor existing solutions to improve their scalability.
Requirements
- Commercial experience in developing and debugging high-performance GPU and CPU applications.
- Hands-on experience with third-party libraries and designing custom CUDA kernels.
- Proficient with profiling and performance analysis tools like Nsight Systems and nvprof.
- Solid understanding of data structures, algorithms, and object-oriented programming in C++.
- Proven ability to work effectively in remote or hybrid teams.
- Curiosity and proactive engagement with emerging trends in GPU/HPC/ML.
Benefits
- Great challenges with fast feedback loops.
- A welcoming group of highly qualified international professionals.
- Cutting-edge hardware and technology.
- Work remotely from anywhere in the world.
- Access any of our global offices anytime.
- Flexible schedule.
- 40 paid days off.
- Competitive salary.