Summary
Together AI is a research-driven artificial intelligence company focused on developing open and transparent AI systems. As a Systems Research Engineer specialized in GPU Programming, you will optimize GPU-accelerated kernels for ML/AI applications and collaborate with cross-functional teams to enhance AI system performance.
Responsibilities
- 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
Skills
- 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
Qualifications
Must Haves
- 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
Benefits
- Startup equity
- Health insurance
- Other benefits
- Flexibility in terms of remote work