Role leads factory validation and integration of software, firmware, and diagnostics for NVIDIA GPU/DPU products, coordinating cross-functional teams and ODM/OEM partners. Requires 5+ years relevant experience, experience in factory/integration settings, server manageability, firmware/diagnostics for x86 and ARM servers, and strong skills in Python, C/C++, and shell scripting. Location: US (remote/Santa Clara referenced).

Seeking a Distinguished Engineer to drive software architecture and roadmaps for NVIDIA rack-scale systems (firmware, kernel drivers, OS, networking, fabrics, and manageability). Role involves translating product roadmaps into software requirements, ensuring reliability and quality, engaging with hyperscale/cloud customers and vendors, mentoring architects and teams, and making key technical decisions. Required: BS/MS or equivalent and 15+ years in system architecture, experience with GPUs/DPUs/FPGAs, networking protocols (Ethernet, InfiniBand), management protocols (Redfish, IPMI), and platform security.

Role focuses on design and development of an end-to-end 5G/6G baseband reference stack, optimizing CPU, GPU and NIC subsystems for low-latency and high throughput, implementing baseband functions in C/C++/Python/CUDA, supporting system integration, performance testing, lab trials and customer field engagements. Candidate should have a wireless communications or DSP background, experience with LTE/5G PHY and MAC, and 8+ years of software development/systems engineering experience.

Role involves designing and implementing new NIC/DPU firmware features, implementing data-center management standards and protocols, participating from pre-silicon stages through product lifecycle, and ensuring security, reliability, and performance. Requires 5+ years in C/C++ development (embedded/binary network protocols), advanced English, experience with test automation, Linux, Git/Gerrit, Bash/Python, and SCRUM-oriented cross-team collaboration.

NVIDIA seeks a Senior Product Engineer on the Board Product Engineering team to drive product engineering implementation, manufacturing methods, yield and quality goals, product change control, and failure debug across global contract manufacturer (CM) sites. Role requires 5+ years in product development or backend manufacturing, strong hardware/embedded and software knowledge, and proficiency in English (Chinese beneficial).

New college grad (2026) position building ML and AI systems for circuit design and design automation (VLSI/ASIC/EDA). Work includes silicon data analysis, SPICE correlation, circuit optimization, design-space exploration, and integrating models with ML and visualization tools. Requires a Master's or PhD (or equivalent experience) and proficiency in Python and C++.

NVIDIA seeks a System Software Engineer (Profiler - GPU) to design, develop, and maintain GPU performance foundation libraries and Nsight tooling focused on high-fidelity hardware events and counters. Responsibilities include writing CUDA and GPU assembly tests, building test/validation frameworks, using emulators/simulators to verify instruction events, and documenting workflows for architectural exploration. Minimum requirements include a B.S. (5+ years experience) or MS (2+ years experience) in EE/CS or equivalent, strong C/C++ and Python skills, knowledge of assembly, hardware pipeline concepts, and experience with performance analysis on hardware accelerators. Salary ranges advertised: $152,000–$241,500 (Level 3) and $184,000–$287,500 (Level 4).

Work on integrating and optimizing communication libraries (NCCL, NVSHMEM, GPUDirect) into AI frameworks, perform workload and performance analysis on multi-GPU clusters, author fused compute/communication kernels, improve compiler/automation for communications, and influence communication library roadmaps. Requires 5+ years of software engineering and HPC/AI experience and strong skills in Python, C++, CUDA and deep learning frameworks.

NVIDIA is hiring a Senior Software Engineer for the Developer Tools team to design and implement features for collecting, analyzing, and visualizing performance profiling data in cloud and cluster environments (Nsight family). The role involves systems design, frontend and backend development, cross-team collaboration, and user interaction. Requires 5 years of related software experience, a BS/MS (or equivalent), fluency in C++, Rust, or Go, and experience with Kubernetes and distributed environments. Preferred experience includes GPUs/CUDA, HPC, microservices, GraphQL, Datadog, ClickHouse, and Grafana. Salary ranges provided (USD, annual).

Role focuses on developing and scaling automated inference and deployment solutions (TRT Model Optimizer) for generative AI models such as LLMs and diffusion models. Responsibilities include extracting model graph representations from PyTorch models, building optimization techniques (quantization, pruning, sharding, efficient kernels), profiling GPU performance, and architecting a modular deployment platform. Requires MS/PhD or equivalent experience and 5+ years in deep learning; strong Python, PyTorch, CUDA, and performance-analysis skills. Salary ranges provided (USD yearly).

Role to build core infrastructure and extensible toolchains for CUDA Quantum, working on inter-device communication, performant execution across multiple processors, and problems at the intersection of compilers, HPC, and quantum computing. Requires 5+ years of experience and domain-relevant technical skills (compilers, LLVM/MLIR, GPU/FPGA programming, distributed and multi-processor systems).

NVIDIA is hiring a Senior Systems Software Engineer to lead GPU performance engineering at scale. The role involves designing and implementing performance practices for large-scale GPU infrastructure, collaborating with HW/FW/SW teams, debugging firmware/software, and aligning AI workloads with datacenter systems. Required skills include CUDA, Linux, container and cloud technologies, C/C++/Python/Bash, and experience with HPC and performance analysis; 8+ years of applicable experience is specified.

Responsible for designing and implementing new NIC/DPU firmware features and protocols across product life stages, from pre-silicon to launch. Requires 5+ years C/C++ experience (embedded systems, binary network protocols), advanced English (C1), familiarity with Git/Gerrit, Linux, Bash/Python, and experience with test automation and debugging.

Work on a performance-oriented, low-level inference infrastructure using hardware offloads (GPU kernels, CUDA) and RDMA network cards. Requirements include ~8 years in modern C++/C/Rust development, ~3 years in Linux development, deep knowledge of TCP/IP, computer architecture and OS concepts. Advantages include experience with LLM inference stacks, distributed storage, Linux internals, low-level optimizations, parallel programming, HPC and RDMA.

Develop and maintain automated verification for high-end hardware and software storage solutions, collaborating with R&D to improve test coverage, performance, quality and stability. Requires 2+ years scripting (Python/Bash) and Linux experience, familiarity with networking and QA automation; English (Upper-Intermediate/B2).

Work involves developing infrastructure and tools to automate complex software processes, implementing benchmarking and profiling frameworks, and applying deep knowledge of OS internals, device drivers, memory, storage, networking, and high-speed interconnects. Requires 5+ years industry experience, proficiency in C++/Python/Go, experience with distributed systems, CI/CD, containerization (Docker, Kubernetes), and performance/debugging of compute workloads.

Join NVIDIA's NGC organization to design and build software for managing multi-tenant cloud infrastructure. The role involves building network and systems automation, developing maintainable APIs, working with internal stakeholders, and participating in open-source communities. Requires 8+ years experience in distributed systems and proficiency in systems languages such as C/C++, Go, or Rust, plus experience with persistence, secure communication protocols, and networking concepts.

NVIDIA seeks a Senior Architect to guide software design, architecture, and implementation of cost, power, and performance modeling for datacenter-scale GPU-accelerated platforms. Requires 8+ years in systems architecture and modeling, strong Python skills, and experience with datacenter/server architecture, parallel computing, data analysis, and DevOps practices.

Lead software architecture and design for NVIDIA's deep learning server platforms, collaborating across software, firmware, product, operations, and customers. Requires deep experience in server system architecture, SW/HW interfaces, device management protocols (e.g., Redfish, IPMI, MCTP, PLDM, RDE), and 10+ years in system architecture and design.

NVIDIA seeks a Software Engineering Manager for image and data compression libraries (US-based, hybrid/remote). Role requires at least five years' experience including three or more years managing teams; strong technical skills in C++ and Python; experience with parallel programming and performance optimization on modern architectures (CUDA, MPI, NVSHMEM, NCCL, AVX, etc.); and familiarity with image processing and compression algorithms. Base salary range: 200,000 USD - 322,000 USD.