The future of AI is open-source. Let's build together.
Artificial Intelligence • Cloud Computing • LLM • Open Source • Decentralized Computing
March 16
🏢 In-office - San Francisco
The future of AI is open-source. Let's build together.
Artificial Intelligence • Cloud Computing • LLM • Open Source • Decentralized Computing
• Optimize and fine-tune GPU code to achieve better performance and scalability. • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems. • Stay up-to-date with the latest advancements in GPU programming techniques and technologies.
• Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. • Knowledge of ML/AI applications and models. • Knowledge of performance profiling and optimization tools for GPU programming. • Excellent problem-solving and analytical skills. • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences.
• Competitive compensation • Startup equity • Health insurance • Flexibility in terms of remote work
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