Systems Research Engineer GPU Programming
Together AIVisit Together AI website
Together AI operates an AI-native cloud platform for open and custom AI models.
San Francisco, United States
About Together AI
Together AI provides production AI infrastructure spanning inference, accelerated compute, model training and fine-tuning, and secure code sandboxes for AI development.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop and optimize GPU-accelerated kernels and algorithms for machine-learning and AI applications. You will co-design kernels, model architecture, GPU architecture, and programming models; integrate accelerated solutions into software; and research emerging GPU programming techniques.
Requirements
- GPU programming and parallel computing expertise
- CUDA or Triton knowledge
- Machine learning and AI application knowledge
- GPU performance profiling and optimization tool knowledge
- Problem-solving and analytical skills
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experience
Responsibilities
- Optimize and fine-tune GPU code for performance and scalability
- Collaborate with cross-functional teams to integrate GPU-accelerated solutions into software systems
- Stay current with GPU programming techniques and technologies
Benefits
- Startup equity
- Health insurance
- Remote-work flexibility