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464 open listings · Page 19 of 19
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
$152,000 – $287,500
NVIDIA seeks a deep learning engineer to integrate advanced communication technologies into AI frameworks like PyTorch and JAX, optimizing multi-GPU performance for training and inference workloads. The role involves hands-on development with communication libraries, compiler improvements, and performance analysis across large-scale distributed systems.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
NVIDIA is seeking a senior engineer to optimize GPU performance across large-scale AI computing infrastructures, working with hardware, firmware, and software teams to build tools and methodologies for datacenter performance validation. This role suits experienced systems engineers who understand the full stack from profilers to OS-level optimization and want to drive innovations in accelerated computing.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $287,500
NVIDIA is seeking a hands-on architect to operationalize GPU computing products at scale, working with HPC systems, deep learning software, and research teams to solve complex deployment and performance challenges. The role suits experienced engineers who combine systems administration expertise with strong programming skills and a track record supporting high-performance computing environments.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $184,000 – $356,500
NVIDIA seeks a senior firmware engineer to design and optimize system software for data center platforms, working directly with cloud service providers on hardware-software integration, debugging, and deployment of next-generation computing systems.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$168,000 – $310,500
NVIDIA is seeking a senior physical design engineer to develop and optimize chip design methodologies across their product line, with focus on power, performance, and area efficiency on advanced semiconductor nodes. This role combines deep expertise in EDA tools and physical design flows with emerging opportunities to apply machine learning to accelerate design cycles.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $320,000 – $488,750
NVIDIA is seeking a Distinguished Engineer to architect and lead the storage strategy for AI Cloud infrastructure, managing exabyte-scale systems that power the world's largest GPU fleets. This role suits a deeply technical systems expert with decades of high-performance storage experience who can set multi-year technical direction while remaining hands-on with code and production systems.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $152,000 – $287,500
NVIDIA seeks a senior software engineer to design and maintain optimized communication runtimes and system software for GPU clusters in AI and HPC applications. This role suits someone with deep systems knowledge who wants to work on foundational infrastructure powering machine learning and scientific computing.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Full-time · Santa Clara, CA · $184,000 – $356,500
Lead a team developing high-performance GPU communication libraries at NVIDIA, working on technologies like NCCL and NVSHMEM that enable distributed deep learning and HPC applications. This role combines technical depth with management responsibility, requiring you to design features, mentor engineers, and collaborate across the organization to deliver libraries that push the boundaries of what's possible at scale.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$176,000 – $333,500
This role involves designing, deploying, and optimizing large-scale GPU storage systems that power NVIDIA's cloud services, managing everything from architecture to operational automation. It suits engineers with deep experience in distributed storage, Linux systems, and cloud infrastructure who want to own storage performance and reliability across AI/ML workloads at scale.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$152,000 – $287,500
A senior role optimizing applications and algorithms for NVIDIA's CPU platforms, involving hands-on performance tuning, hardware design influence, and technical publication. Suited to researchers and engineers with deep expertise in CPU architecture and parallel programming who want to bridge industry, academia, and product development.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $168,000 – $310,500
NVIDIA is seeking a senior software engineer to design and build large-scale graph processing infrastructure for semiconductor CAD tools, using graph neural networks to handle trillion-edge datasets. The role combines architectural design with hands-on implementation, requiring someone comfortable bridging software engineering, machine learning, and EDA domain knowledge.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$152,000 – $287,500
NVIDIA seeks a senior technical expert to research and optimize database performance on GPU architectures, working with internal teams and external partners to influence next-generation hardware and software design. This role suits experienced developers with deep systems knowledge who thrive on solving complex performance challenges at the intersection of databases and parallel computing.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$272,000 – $431,250
This is an architecture role owning the complete system software stack for NVIDIA's orbital data center platform, from firmware through AI frameworks. It suits experienced platform engineers who can design radiation-tolerant, autonomous systems and bridge hardware and software across the full stack.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$152,000 – $287,500
Join Nvidia's High Performance Computing team designing communication frameworks and algorithms for the world's largest supercomputers and AI datacenters. This role is ideal for an experienced C/C++ engineer with deep knowledge of networking protocols and computer architecture who wants to solve complex performance challenges at scale.
Listed on NVIDIA’s careers site · Apply there ↗