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206 open listings · Page 9 of 9
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
NVIDIA
$184,000 – $287,500
NVIDIA is hiring a senior performance engineer to lead benchmarking and optimization of their data center GPU platforms, ensuring they deliver industry-leading performance for AI and HPC workloads. This role suits someone with deep systems knowledge who can identify bottlenecks, tune configurations, and drive improvements across compute, memory, networking, and storage infrastructure.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$124,000 – $195,500
This role involves optimizing deep learning systems at the intersection of CUDA programming and AI workloads, from single-GPU to supercomputer scale. It suits experienced systems engineers who enjoy low-level performance work and want to push the boundaries of what's possible on modern accelerators.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
A research-focused software engineering role optimizing deep learning systems at the intersection of CUDA and AI workloads, suitable for engineers with deep systems expertise who want to tackle hardware-software co-design challenges across single GPUs to supercomputer clusters.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
US, CA, Remote · $224,000 – $431,250
NVIDIA is seeking a senior infrastructure engineer to build and optimize distributed training systems for autonomous vehicle AI models running across massive GPU clusters. This role suits experienced systems engineers who excel at scaling complex distributed systems and want to work on foundational ML infrastructure at one of the world's leading AI companies.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $124,000 – $230,000
This role shapes the technical narrative around NVIDIA's CUDA platform and AI libraries for developer audiences, combining product marketing strategy with hands-on use of AI coding assistants to automate competitive research, content creation, and launch execution. It suits someone with deep technical fluency in accelerated computing and AI frameworks who wants to bridge engineering and developer communities while leaning heavily on AI tools for day-to-day productivity.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $272,000 – $488,750
NVIDIA is hiring a senior manager to lead performance analysis across their GPU product pipeline, from early design simulation through production deployment. The role suits engineering leaders with deep systems expertise who can architect performance models, manage testing frameworks, and drive automation using modern AI tools.
Listed on NVIDIA’s careers site · Apply there ↗