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106 open listings · Page 4 of 5
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
Santa Clara, CA · $184,000 – $287,500
NVIDIA is seeking a senior AI engineer to rebuild its silicon productization toolchain around AI, integrating simulation and configuration systems with LLM-backed agents to optimize chip design from pre-silicon through production. The role suits experienced engineers comfortable bridging silicon, firmware, and machine learning to automate complex chip behavior analysis and prevent quality issues before products ship.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA · $152,000 – $287,500
NVIDIA seeks a senior engineer to design and implement features for the CUDA driver, working across the full GPU computing stack from kernel components to programming models. The role suits experienced systems software developers who want to influence the architecture of GPU-accelerated computing platforms.
Listed on NVIDIA’s careers site · Apply there ↗
NVIDIA
$184,000 – $356,500
NVIDIA seeks a senior systems engineer to develop Linux kernel and firmware solutions for next-generation datacenter servers, working closely with cloud service providers on hardware bring-up, optimization, and deployment of AI/ML and HPC platforms.
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NVIDIA
Full-time · $168,000 – $322,000
Lead a technical team building verification systems for NVIDIA's AI compilers, ensuring deep learning models compile correctly to GPU code. This role suits experienced engineering managers who understand compiler optimization and want to drive quality at the intersection of AI frameworks and systems engineering.
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NVIDIA
Join NVIDIA's GeForce NOW team to design and build the video streaming infrastructure that powers cloud gaming. You'll work on GPU-accelerated video pipelines, optimizing for quality and latency while incorporating machine learning techniques to deliver seamless gaming across millions of players.
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NVIDIA
Full-time · $184,000 – $356,500
NVIDIA is seeking a systems software engineer to design and implement features for the CUDA driver on Windows, working with low-level GPU and OS interactions. This role suits someone with deep systems expertise who wants to shape the compute platform that powers AI, graphics, and scientific computing.
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NVIDIA
Full-time · Santa Clara, CA · $272,000 – $431,250
NVIDIA seeks a principal-level architect to design the end-to-end system software stack for their data center GPU platforms, working across firmware, drivers, and kernels while engaging directly with hyperscaler customers to shape product strategy. This role suits someone with deep expertise in server system architecture and management protocols who thrives influencing large cross-functional teams and translating customer needs into technical roadmaps.
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NVIDIA
Santa Clara, CA · $320,000 – $488,750
NVIDIA seeks a distinguished architect to design next-generation communication technologies and platforms for deep learning and HPC at massive scale, working across GPU, networking, and software teams to push the boundaries of what's possible in data center performance.
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NVIDIA
$184,000 – $356,500
This role involves integrating CUDA features and distributed runtime technologies into AI frameworks like PyTorch and vLLM, working on the performance and scalability of deep learning systems across multi-GPU clusters. It suits experienced systems engineers who combine deep learning knowledge with low-level optimization expertise and want to shape the infrastructure that powers modern AI.
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NVIDIA
Full-time · Santa Clara, CA · $140,000 – $224,250
NVIDIA is hiring a test engineer to design automated tests and build quality tools for GeForce GPU drivers and SDKs, incorporating AI-driven automation across Windows and Linux platforms. This role suits someone with 5+ years of Python/C/C++ experience who understands GPU technologies and can bridge software testing with hardware fundamentals.
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NVIDIA
2 locations · $184,000 – $287,500
NVIDIA's GPU Communications Libraries and Networking team is hiring a senior architect to design next-generation communication systems that accelerate deep learning and HPC workloads across massive GPU clusters. This role combines systems design, performance optimization, and hardware-software co-design for some of the world's largest computing platforms.
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NVIDIA
$184,000 – $287,500
NVIDIA is seeking a senior engineer to architect and debug cloud-native software stacks for AI datacenters running GB200 and GB300 GPUs, working directly with cloud providers to solve large-scale Kubernetes and Slurm challenges. This role suits someone with deep distributed-systems expertise who enjoys both hands-on debugging and customer-facing technical leadership.
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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.
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NVIDIA
$184,000 – $287,500
Build core infrastructure for CUDA, NVIDIA's GPU computing platform, focusing on driver architecture and unified memory management across diverse hardware and operating systems. This role suits experienced systems software engineers with deep knowledge of kernel programming and OS-level abstraures.
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NVIDIA
2 locations · $140,000 – $224,250
NVIDIA is hiring a test automation engineer to build Python-based testing frameworks and use AI tools to accelerate test creation for NVIDIA App, a gaming and driver-focused desktop application. The role suits someone comfortable with both automation development and hands-on testing, with strong Python skills and interest in PC gaming technology.
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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.
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NVIDIA
Santa Clara, CA · $320,000 – $488,750
A senior technical architect role leading the system software design for NVIDIA's data center AI platforms, working across firmware, drivers, and operating systems while engaging directly with major cloud providers. This suits someone with deep expertise in complex server architectures and the influence to shape product roadmaps at the industry's highest level.
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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.
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NVIDIA
Santa Clara, CA · $272,000 – $431,250
NVIDIA seeks a Principal Software Engineer to architect and lead system software for next-generation data center platforms, serving as the technical lead for cloud service provider partnerships. This role is for someone who can drive critical design decisions, resolve complex customer issues, and bridge software-hardware concerns across large-scale infrastructure projects.
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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.
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NVIDIA
$152,000 – $287,500
NVIDIA seeks a performance engineer to optimize communication libraries (NCCL, NVSHMEM, UCX) that connect thousands of GPUs in deep learning and HPC systems. This role suits someone with systems software expertise who enjoys diagnosing performance bottlenecks across GPU clusters and networking stacks.
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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.
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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.
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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.
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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 ↗