Periodic Labs · 2 months ago
CUDA Kernel Engineer
Menlo Park, CA
Full-time
Onsite
Mid LevelPeriodic Labs is an AI + physical sciences lab focused on making novel scientific discoveries. The role involves developing, integrating, and optimizing CUDA kernels to enhance AI scientific research and support large-scale experiments.
Artificial Intelligence (AI)Foundational AIGenerative AIMachine Learning
Responsibilities
Develop, integrate and optimize state-of-the-art CUDA kernels to power AI scientific research
Integrate CUDA kernels into training, inference and reinforcement learning systems running on thousands of GPUs
Build tools and directly support frontier-scale experiments to make Periodic Labs the world’s best AI + science lab
Release kernels as contributions to the open-source AI stack
Qualification
Required
Writing and optimizing CUDA kernels: attention, mixture-of-experts, dispatch-and-combine, and others
Working with the latest generation of Nvidia hardware
Integrating kernels into state-of-the-art inference (vLLM, SGLang) and training frameworks (Megatron, TorchTitan)
Company
Periodic Labs
Periodic Labs develops artificial intelligence systems that simulate and predict the properties of materials using machine learning.
Founded in 2025
11-50 employees
H1B Sponsorship
Periodic Labs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Early StageTotal Funding
$300M2025-09-30Seed· $300M
Recent News
Business Insider
2025-12-26
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2025-12-20
Company data provided by crunchbase