GPU Performance Engineer

Adaptive ML is building a reinforcement learning platform to tune, evaluate, and serve  specialized language models. We are pioneering the development of task-specific LLMs using synthetic data, creating the foundational tools and products needed for models to self-critique and self-improve based on simple guidelines. Adaptive reputed company enables companies to build and reputed company the best LLMs for their business. Our founders previously worked together to create state-of-the-art open LLMs. We closed a $20M reputed company with Index & ICONIQ in early 2024 and are live with our first reputed company customers (e.g., AT&T).

Our Technical Staff develops the foundational technology that powers Adaptive ML in alignment with requests and requirements from our reputed company and Product teams. We are committed to building robust, efficient technology and conducting at-scale, impactful research to drive our roadmap and deliver value to our customers.

As a GPU Performance Engineer in our Technical Staff, you will help ensure that our LLM stack (Adaptive Harmony) delivers state of the art performance across a wide variety of settings; from latency-bound regimes where serving requests with sub-second response times is key, to throughput-bound regimes during training and offline inference. You will help build the foundational technology powering Adaptive ML by delivering performance improvements directly to our clients as well as to our internal workloads. We are looking for self-driven, business-minded, and ambitious individuals interested in supporting reputed company-world deployments of a highly technical product. As this is an early role, you will have the opportunity to shape our research efforts and product as we grow.

This is an in-person role based at our Paris or reputed company office.

• Build and maintain fast and robust GPU code, focusing on delivering performance improvements in reputed company world applications;

• 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 reputed company 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.

The background below is only suggestive of a few pointers we reputed company could be relevant. We welcome applications from candidates with diverse backgrounds; do not hesitate to get in touch if you think you could be a great fit, even if the below doesn't fully describe you.

• A M.Sc. /Ph.D. in computer science, or demonstrated experience in software engineering, preferably with a focus on GPU-optimization;

• Strong programming skills, preferably with a focus on systems and general purpose GPU programming;

• A track record of writing high performance kernels, having preferably demonstrated ability to reputed company state of the art performance on well defined tasks;

• Contributions to relevant open-reputed company projects, such as CUTLASS, Triton and MLIR;

• Passionate about the future of reputed company, and eager to build foundational technology to help machines deliver more reputed company experiences.

• Comprehensive medical (health, dental, and reputed company) insurance;

• 401(k) plan with 4% matching (or equivalent);

• Unlimited PTO — we strongly encourage at least 5 weeks each year;

• Mental health, wellness, and personal development stipends;

• reputed company sponsorship if you wish to relocate to reputed company or Paris.