GPU Performance Engineer
Adaptive MLNew York, New York, United States • Paris, Ile-de-France, France
Posted August 8, 2025
Full Time
About the Company
Adaptive ML specializes in leveraging generative AI and reinforcement learning to optimize large language models for business needs. The company offers services including RLHF (Reinforcement Learning with Human Feedback), RLAIF (Reinforcement Learning for Artificial Intelligence Frameworks), monitoring, A/B testing, and post-training solutions. Adaptive ML's unique approach focuses on continuous evaluation and tuning to deliver the most effective LLMs tailored to specific business metrics.
Job Description
GPU Performance Engineer to help ensure state of the art performance across a wide variety of settings for the LLM stack (Adaptive Harmony) and build the foundational technology powering Adaptive ML.
Requirements
- Build and maintain fast and robust GPU code
- Write high-quality software in CUDA, CUTLASS, or Triton with a focus on performance and robustness
- Profile dedicated GPU kernels, optimizing across latency/compute-bound regimes for complex workloads
- Contribute to our product roadmap, by identifying promising trends that can improve performance
- Report clearly on your work to a distributed collaborative team, with a bias for asynchronous written communication
Benefits
- Comprehensive medical (health, dental, and vision) insurance
- 401(k) plan with 4% matching (or equivalent)
- Unlimited PTO
- Mental health, wellness, and personal development stipends
- Visa sponsorship
