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.

Responsible for driving system architecture and software solutions for NVIDIA deep learning server platforms, collaborating with application, library, system software and firmware teams, customers, vendors, and partners. Requires 10+ years in system architecture/design, deep knowledge of SW/HW interface, experience with HPC/deep learning workloads, and familiarity with device management protocols (e.g., Redfish, IPMI, MCTP, PLDM, RDE).

Owner of end-to-end manageability architecture and firmware delivered to data centers: drive server management for large GPU/Grace clusters, collaborate with data center architects and internal component leads, design data center health management workflows, and ensure firmware quality, reliability, and telemetry. Requires 15+ years working on server firmware/BMC and strong C/C++ and Python skills; experience with Git/Perforce and Jira.

Lead architecture for cloud-networking and security solutions, design system architecture for DPUs & NICs, build end-to-end solutions from application to hardware level, evaluate technologies and develop prototypes. Requires 5+ years as a Software or Systems Architect, strong software development experience, deep knowledge of C and Python, Linux development, cloud-networking and networking protocols; experience with DPDK, OVS/OVN, containers and Kubernetes is a plus.

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.

Role involves designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, providing technical leadership, and collaborating with product and QA teams. Requires an MSc/PhD (or equivalent) in a related field and 5+ years developing and optimizing numerical linear algebra software using C++ and parallel programming (ideally CUDA, MPI, OpenMP, OpenACC, pthreads).

Responsible for designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, leading projects and mentoring engineers. Requires 8+ years experience, a degree in CS/Applied Math or equivalent, strong C++ skills, expertise in kernel generation and JIT, and experience with GPU-related technologies (CUDA) and performance optimization. Base salary range shown: $184,000–$356,500 depending on level.

Work on GPU communications libraries (e.g., NCCL, NVSHMEM, UCX) to improve communication performance for large-scale Deep Learning and HPC systems. Responsibilities include co-designing HW/SW solutions, building proofs-of-concept, running experiments and simulations, and performance modeling. Requires M.S./Ph.D. or equivalent, 5+ years experience, strong C/C++, parallel programming/runtime experience, Linux, and deep understanding of system and network architecture.

Role involves in-depth performance characterization and analysis on large multi-GPU/multi-node clusters, studying HW/SW interactions, implementing micro-benchmarks, triaging customer performance issues, and building tools to visualize performance data. Requires M.S. or equivalent (or PhD), 3+ years of parallel programming and communication runtime experience (e.g., MPI, NCCL, UCX, NVSHMEM), proficiency in C/C++ and a scripting language (preferably Python), and familiarity with containers, cloud provisioning and schedulers (Kubernetes, SLURM, Ansible, Docker).

NVIDIA seeks a Senior System Software Engineer to design, develop, test, and optimize system software for next-generation ARM-based SoCs and datacenter products. Requires 6+ years of relevant experience in computer architecture or software development, strong skills in OS internals, multicore systems, performance analysis (including linux perf), device drivers, and performance optimization; familiarity with CUDA and HPC is a plus.

Role involves architecting and implementing telemetry collection, time-series storage and visualization (InfluxDB, Prometheus, Grafana), building/consuming REST APIs (Redfish a plus), firmware-aware low-latency solutions, running POCs, writing design docs, owning end-to-end delivery and productization, and mentoring across teams. Requires 8+ years hands-on coding experience and strong skills in C/C++ and Python.

Work on design and implementation of GPU-accelerated libraries and SDKs for unstructured sparsity in deep learning and HPC. Responsibilities include developing a C++ system for sparse tensor computations, DSL specifications for sparse storage formats, on-demand code generation, enabling frameworks like Python/PyTorch, and performance evaluation and optimization. Required: BS/MS/PhD (or equivalent), 6+ years developing and optimizing high-performance C++ software, strong Python and CUDA skills, and experience with parallel programming (MPI/OpenMP) and sparse compilers (MLIR or TACO).

Work on GPU-accelerating high-performance database and ETL applications: analyze and optimize data-intensive workloads, collaborate with hardware/software teams to influence future architectures and programming models. Requires a Master's/PhD or equivalent, 5+ years' relevant experience, strong C/C++ and low-level parallel programming (CUDA, OpenMP, MPI, etc.), and expertise in CPU/GPU architecture and memory subsystems.

Join NVIDIA's DGXC Data Services to develop cloud-native data and storage services (dataset discovery, ingestion, governance, checkpointing, observability, low-latency access) for hybrid and multi-cloud infrastructure supporting exabyte-scale, high-performance GPU training and inference. Requires a BS or equivalent and 5+ years of software engineering experience, strong foundations in algorithms, data structures, distributed systems, and hands-on experience with Kubernetes, AWS/GCP/Azure and backend/cloud-native languages and tooling.

NVIDIA seeks a Distinguished Engineer to lead architecture, systems, and software strategy for AI-native wireless infrastructure (RAN and core), drive GPU-accelerated prototyping, and engage with industry standards (3GPP, O-RAN) and partners. The role requires 20+ years of industry experience and deep expertise in communications theory, RAN (5G NR) PHY/L1/L2, baseband signal processing, AI/ML, and programming in Python, C/C++, and Matlab. Salary range provided: 320,000–488,750 USD/year.