Lead development of scalable mapping and 3D reconstruction systems that transform crowdsourced camera and sensor data into high-quality maps for self-driving vehicles. Requires 15+ years experience, strong C++ production engineering skills, and expertise in 3D computer vision, multi-view geometry, pose estimation, sensor fusion, and large-scale sensor data processing.

Role to design and implement APF Core Services (runtime policy verifier, signed policy verification, trust roots, revocation, authorization APIs), deterministic policy projection, conformance and verification test suites, and public runtime integration interfaces. Requires 15+ years experience in systems/software/security engineering, strong programming in Rust/Go/C++/Python, familiarity with Linux, protobuf/gRPC, CI/test automation, cloud deployments, and practical security engineering (signatures, revocation, rollback protection, zero-trust).

Lead a large firmware engineering organization owning HGX platform firmware, OpenBMC-based management firmware, and MCU firmware for next-generation data center systems. Define firmware roadmap and architecture across BMC, MCU, platform software, manageability, telemetry, and health management. Coordinate multi-program execution, collaborate with cross-functional teams (hardware, security, validation, manufacturing, field, customers), manage escalations, and grow technical teams. Requires BS/MS/PhD or equivalent, 12+ years in server/MCU/BMC/platform firmware or data center systems, and 6+ years managing engineering teams.

Lead design, implementation, and production support of large-scale, high-performance distributed storage systems for GPU cloud services. Responsibilities include storage architecture, monitoring, automation, capacity planning, performance tuning, security/compliance, and being part of on-call rotations. Requires 8+ years' experience and expertise across storage technologies, networking protocols, Linux, programming (C/C++, Java, Python, Go, Node.js, Bash), configuration management (Ansible/Chef/Puppet/Terraform), and observability tools (Prometheus, Grafana, InfluxDB, Elastic Stack).

Join NVIDIA to architect, implement, optimize, and ship production-grade GPU solutions for cuEST, a CUDA-X math library for Gaussian-basis quantum chemistry. The role requires leadership on code modules, collaboration across engineering and product teams, and developing algorithms and performance optimizations for electronic structure computations.

Principal-level role in AI Networking Codesign and Benchmarking R&D to profile, analyze, and optimize AI workloads on large-scale GPU/CPU clusters. Responsibilities include benchmarking and profiling distributed systems (collective communication, networking, NCCL/RDMA/RoCE), developing PyTorch trace-based profiling and replay tooling, collaborating across hardware and software teams, and defining performance test plans.

Work on design, implementation, and optimization of direct sparse solvers for GPU architectures (cuDSS). Requires 5+ years developing high-performance numerical software in C++ with parallel programming (CUDA, MPI, OpenMP, OpenACC, pthreads, etc.), strong numerical analysis and sparse linear algebra fundamentals, and experience maintaining scientific computing libraries.

NVIDIA seeks a Senior Deep Learning Hardware Modeling Architect to drive component- and system-level specifications, implement executable C++ hardware models, and resolve performance and correctness issues across chip and hardware subsystems. Requires 5+ years relevant experience, expert C++ skills, and familiarity with RTL/chip design concepts; experience in systems-level modeling, profiling, and automation is a plus.

Lead validation, tuning, benchmarking, profiling, and root-cause analysis of multi-GPU and multi-node LLM workloads using NVIDIA stacks (PyTorch, NeMo/Megatron, TensorRT-LLM). Requires 8+ years building software infrastructure for large-scale AI/HPC, deep experience with NCCL/CUDA, expert Python and C/C++, and experience operating containerized scheduled clusters.

Senior Principal Architect in NVIDIA's Advanced Development team working on GPU Networking to optimize AI workloads. Responsibilities include leading vision, architecture, and proof-of-concept development across distributed AI, HPC, SDN, virtualization, storage and related data center technologies. Requires M.Sc. or Ph.D. (or equivalent), 8+ years industry experience in systems architecture or related fields, experience with virtualization, networking, storage, Windows and Linux drivers, and strong performance profiling and optimization skills.

Lead the full-stack system software architecture for Space-1 and successor Orbital Data Center modules, covering data center stack, BMC firmware, BIOS, host OS, GPU/CPU drivers, CUDA/DCGM, and manageability telemetry. Drive interfaces and trade-offs across silicon, board, firmware, OS, and AI workload layers to ensure reliable autonomous operation in low-Earth orbit, including fault containment, in-orbit updates, redundancy, and radiation/thermal-cycle resilience.

Joining NVIDIA's NvSci team to design and implement cross-platform system software and middleware enabling integration with user applications, hardware acceleration libraries, and SoCs. Lead end-to-end feature development, collaborate with hardware/firmware teams, optimize performance for resource-constrained environments, and ensure compliance with automotive safety/security standards (ISO 26262, ASPICE, ISO 21434). Requires 8+ years of software development experience and proficiency in C/C++.

NVIDIA seeks a Senior System Software Engineer to design, develop, test, and optimize software for next-generation ARM-based SoCs across pre- and post-silicon phases. Role emphasizes performance analysis, identifying HW/SW policies, cross-stack performance optimization, and competitive workload benchmarking. Requires BS/MS (or equivalent), 6+ years relevant experience, strong understanding of multicore hardware, OS design, device drivers, concurrency, virtual memory, and performance tuning. Locations include multiple US sites (Austin, Hillsboro, Boulder, Redmond, Santa Clara) and remote. Posted salary ranges: USD 184,000–287,500 (Level 4) and USD 224,000–356,500 (Level 5). Application accepted through November 3, 2026.

Senior engineer to design, build and optimize agentic AI systems, GPU-centric runtimes, and compiler/runtime-driven solutions across NVIDIA's software and hardware stack. Requires 8+ years experience, strong C/C++ and Python skills, deep learning and inference experience, and expertise in CUDA/GPU performance optimization.

NVIDIA seeks a Senior Product Engineer based in Thailand (remote) to manage Interconnect products (AOC/transceivers), drive product yield and quality, implement change control and build management, and develop manufacturing partners. Requires 5+ years in product development, strong hardware and/or software engineering knowledge for optical products, experience with high-precision connectors/interconnects, advanced data analytics skills, and proficiency in written and spoken English. Travel to sites is required.

Role focuses on securing AI cluster and high-performance computing infrastructure: design and implement security systems, incident response and disaster recovery, harden infrastructure across networking, storage, OS and firmware, ensure compliance and audit readiness, and work cross-functionally with engineering, legal, and leadership. Requires 8+ years of relevant experience and expertise in C/C++, Linux kernel hardening (SELinux/AppArmor), eBPF, and large-scale Linux infrastructure security.

NVIDIA seeks a Senior Software Engineer to design and implement performance analysis tools and workflows for AI training and inference. The role involves integrating profiling infrastructure with AI frameworks, identifying performance bottlenecks, automating detection/diagnosis, and collaborating with performance engineers, hardware architects, and software teams. Requires MS/PhD or equivalent, 6+ years' experience, deep knowledge of AI workloads, and strong software skills (Python, C++).

Role focuses on designing and implementing learning-based compiler optimization workflows, integrating LLMs with compiler infrastructure, and validating performance on representative benchmarks. Requires 8+ years experience, strong knowledge of compilers, GPU architecture, proficiency in Python and C/C++, and hands-on LLVM/MLIR experience. Salary range stated as 184,000–287,500 USD per year.

NVIDIA seeks a Senior Software Engineer to debug and extend cloud-native stacks for multi-rack, multi-tenant AI/ML datacenters (Kubernetes and Slurm), prototype operator and Slurm plugin features, build reproducible testbeds (Helm/Ansible/Terraform), and work directly with CSPs. Requires 10+ years in distributed systems software development, strong Kubernetes and Slurm expertise, GPU integration experience, and familiarity with CI/CD, observability, and infrastructure-as-code. Locations listed in the US (Austin, Redmond, Seattle, Santa Clara) and remote; published base salary ranges in USD are provided in the posting.

Principal Software Engineer responsible for architecting and guiding development of software for rack-scale infrastructure products, including control planes, orchestration, firmware, OS lifecycle, and networking fabrics. Requires 15+ years of experience in systems architecture, distributed systems, infrastructure control planes, and practical coding skills (Go, C++, or Rust). Role involves partnership with hyperscalers and customers, establishing reliability and security strategies, and mentoring senior engineers.