
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🕒 June 10
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship June 10
Still open on NVIDIA's site. Checked 57 minutes ago.

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Develop a highly optimized inference framework • Work on a groundbreaking open-source library using hardware offloads, GPU kernels, and RDMA network cards • Build low-level infrastructure focused on performance, scalability, and features • Develop products running on large supercomputers and data centers • Collaborate with innovative engineering teams on next-generation products
• B.Sc. or equivalent experience in Computer Science or Software Engineering • 8 years’ experience in modern C++ / C / Rust development • 3 years’ experience in Linux environment and familiarity with development tools • Deep knowledge of the TCP/IP network stack • Understanding of computer architecture and operating systems concepts • Hands-on experience with LLM inference stacks (standout qualification) • Expertise in distributed storage technologies (standout qualification) • Background in Linux internals and low-level software optimizations, including benchmarking, bottleneck research, and performance tuning (standout qualification) • Experience in programming CUDA kernels is an advantage • Background in parallel programming, high-performance computing, or RDMA technology (standout qualification)
• Aggressive compensation plan that rewards top performers • Comprehensive benefits package • Highly competitive salaries
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 May 18
Senior Full Stack Engineer at YieldNest developing scalable applications with TypeScript and GraphQL for a DeFi liquid restaking protocol. Seeking innovative builders ready to shape the future of finance.
🕒 May 18
Software Engineer focusing on developing compilers and virtual machines for blockchain technologies at Parity. Collaborating within the Smart Contracts team to enhance smart contract execution on Polkadot.
Assembly
Linux
🕒 May 18
Senior Web3 Software Engineer developing high-performance decentralized applications in a blockchain-native environment. Collaborating with teams to deliver secure and reliable trading experiences.
🕒 May 18
Frontend-focused Fullstack Engineer at Variational building trading interfaces and product experiences for a peer-to-peer trading protocol. Collaborating with a team to implement fullstack features with modern technologies.
🕒 December 17, 2025
Product Software Engineer involved in productizing AI system for quantitative modeling and showcasing its capabilities. Responsibilities include feature definition, implementation strategy, and user-oriented deliverables.