About the role#
As a Systems Research Engineer Intern, you will work on GPU-accelerated kernels and algorithms for AI systems. You will collaborate with our modeling and algorithm teams to co-design GPU kernels and model architectures. This role involves working across hardware and software teams to refine GPU architectures and programming models.
What you'll do#
- Develop and optimize GPU-accelerated kernels.
- Co-design GPU kernels and model architecture.
- Contribute to the design of efficient GPU architectures and programming models.
- Optimize GPU code for performance and scalability.
- Integrate GPU-accelerated solutions into existing software systems.
- Monitor advancements in GPU programming techniques.
What you'll need#
- Strong background in GPU programming and parallel computing.
- Experience with CUDA or Triton.
- Knowledge of ML/AI applications and models.
- Familiarity with performance profiling and optimization tools.
- Problem-solving and analytical skills.
- Currently pursuing a degree in Computer Science, Computer Engineering, or Electrical Engineering.
Location & details#
- Location: San Francisco, California.
- Term: Summer 2027.
- Modality: On-site.
- This is a full-time, paid internship.
About Together AI
Together AI operates a cloud platform for AI engineers and researchers. The company provides tools for inference, model shaping, and pre-training. Founded in 2022, it maintains its headquarters in San Francisco, California. The organization employs 415 people and serves clients ranging from AI startups to SaaS companies.
How to get in at Together AI
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