HPC Jobs

Fireworks is seeking PhD graduates in Computer Science, Computer Engineering, or Electrical Engineering to join their Systems Infrastructure team. This role is for individuals who want to apply their research ideas to real-world, large-scale AI infrastructure. You will be responsible for designing and building the core systems that power Fireworks' AI platform, including schedulers, storage systems, and networks, ensuring efficient utilization of hardware and low inference latency. You will work on challenging problems related to compute placement, efficient data movement, and high-performance networking for AI workloads, with the opportunity to see your work ship in a production environment.

$200k - $230k

NVIDIA is seeking a Deep Learning Software Infrastructure Engineer to advance its Autonomous Vehicles project. In this role, you will be responsible for building and scaling the training libraries and infrastructure necessary for end-to-end autonomous driving models. By enabling training on thousands of GPUs and massive datasets, you will significantly accelerate iteration speed and enhance safety, working collaboratively with research and platform teams across NVIDIA.

$224k - $431k

NVIDIA is seeking a motivated Deep Learning engineer to integrate advanced CUDA features and Distributed Runtime technologies into AI stacks, including frameworks like PyTorch, TRT-LLM, vLLM, SGLang, and JAX. You will join the team responsible for core CUDA features and runtimes that scale Deep Learning and HPC applications, addressing diverse multi-GPU demands from large-scale training to low-latency inference. Your work will enhance the productivity and performance of AI applications, accelerating community adoption through AI toolkits. This role offers a significant opportunity to advance the state of the art in AI technologies.

$184k - $357k

NVIDIA is seeking a Senior Software Engineer to advance the C++ foundation of CUDA Core Libraries. This role involves designing and optimizing high-performance algorithms and APIs for C++ developers, contributing to the foundational libraries, algorithms, and language/runtime infrastructure that power CUDA. You will be responsible for the full lifecycle of features, from design and implementation to testing, profiling, and maintenance, ensuring a speed-of-light experience for developers and AI coding agents.

$184k - $357k