NVIDIA is hiring a Senior Deep Learning Frameworks CUDA Software Engineer to add advanced CUDA features and runtime abstractions into AI stacks (PyTorch, JAX, TRT-LLM, vLLM, SGLang). Responsibilities include performance analysis, integrating features from PoC to production, designing fault-tolerant elastic multi-GPU/multi-node solutions, and collaborating across HW/SW/research teams. Requirements: BS/MS/PhD or equivalent, 8+ years industry experience, experience with deep learning frameworks, C++/Python/CUDA development, profiling and benchmarking, and distributed/HPC communication (NCCL/MPI/UCX).

Role involves developing and maintaining automated test scripts and frameworks, owning end-to-end feature testing, performing system and integration validation in Linux and virtualized environments (Docker, VMs, KVM), managing test environments, analyzing defects, and collaborating with software, DevOps, architecture, and product teams. Requires a BS/MS in CS or CE (or equivalent), 3+ years' experience in software testing/QA automation, strong Python and Linux skills, and fluency in English.

Work on the Triton compiler project to design and implement compiler technology (using MLIR) and optimize high-level kernel descriptions to generate efficient GPU code. Responsibilities include performance tuning (including inline PTX), collaborating with hardware and CUDA teams, and investigating GPU architectures and AI algorithms. Requires a degree in CS or related field and 8+ years industry experience with strong C++, parallel programming (CUDA/OpenCL), assembly-level programming, and computer architecture.

Role focused on working with LLVM, Clang, MLIR, and related open-source projects to upstream features and refactors from NVIDIA downstream codebases. Requires 6+ years working with LLVM/Clang/MLIR or similar, strong C++ skills, deep compiler internals knowledge, experience with open-source contribution processes, and the ability to collaborate across internal teams and external communities. Locations listed in the US (Austin, Redmond, Santa Clara) with remote options.

Join the DRIVE Road structure / Online mapping / Context Fusion team to build core functionality for autonomous driving: generate real-time 3D world models from camera, lidar, radar and map inputs; enable HD mapless urban driving and L3 highway autonomy; construct fused obstacles, occupancy grids and occlusion masks; and ensure algorithms meet automotive quality and safety standards. Requires 8+ years experience (2+ in AV/robotics), technical leadership, and software development experience on embedded or automotive platforms.

Role to analyze deep learning networks and develop compiler optimization algorithms for NVIDIA's Deep Learning Compiler used across data centers, devices, automotive, and robotics. Requires 3+ years relevant experience, strong C/C++ and Python skills, and experience with technologies such as MLIR, XLA, TVM, LLVM, CUDA/OpenCL and deep learning frameworks (e.g., PyTorch). Posted locations include Austin, Redmond, and Santa Clara (also remote options); stated base salary range USD 152,000–241,500.

NVIDIA is hiring a senior backend compiler engineer to work on GPU compiler code generation and optimizations (register allocation, scheduling, software pipelining) using C++ and LLVM technologies. Requires 3+ years of compiler code generation experience. Location details indicate US-based sites (Santa Clara, Austin) and remote options; listed base salary range is 152,000–241,500 USD per year.

Work on a high-performance, GPU-accelerated AI inference platform (converging Triton and NVIDIA Dynamo). Requires 5+ years on deep learning software, strong Rust and C++ skills, familiarity with Python, and experience with distributed/ML systems. Location indicated as US (including Seattle and Santa Clara); posted salary ranges provided.

Lead the technical vision, original research, and prototyping for distributed AI communication systems (GPU-to-GPU, GPU-to-storage, cross-node) using technologies such as RDMA, NVLink, GPUDirect and communication libraries (NCCL, UCX, MPI, NVSHMEM). Requires 15+ years in systems software/networking, strong GPU-accelerated systems and computer architecture knowledge, and proficiency in C/C++/Rust/Python.

NVIDIA is hiring a Senior Software Engineer to design and implement JAX core components, drive performance on NVIDIA products, and build tools for AI teams. Requires 6+ years relevant experience, strong C/C++ and Python skills, familiarity with ML frameworks (e.g., PyTorch, TensorFlow), and technical knowledge of CPU/GPU architectures, numeric libraries, and distributed training.

Role involves designing and implementing end-to-end integrations, building adapters/plugins/runtime components, collaborating with framework owners and open-source communities, optimizing distributed training/inference (multi-node, multi-GPU), improving observability for Kubernetes deployments, and diagnosing complex runtime and GPU-related issues. Requires 5+ years' experience and strong software engineering skills (Go, C++, and/or Python).

Lead and mentor a team of compiler and performance engineers working on NVIDIA's HPC compilers (supporting Python, C++, Fortran, OpenACC, OpenMP). Requires a degree in CS/ECE or equivalent, 10+ years of software experience with 4+ years of management. Salary range listed: 224,000–356,500 USD per year. Applications accepted through at least Nov 3, 2026.

Hiring a Senior System Software Engineer to develop safety- and security-compliant system software for NVIDIA DRIVE (Tegra SOC). Requires 8+ years in real-time embedded system software, strong C/C++ or Ada/SPARK skills, device driver experience, performance tooling, debugging tools (gdb/valgrind), and familiarity with ISO26262/ISO21434, ARMv8, virtualization, and formal methods (TLA+). Location: India (Bengaluru/remote).

NVIDIA seeks a Senior Software Engineer to develop metrics, evaluation methodologies, and data-driven evaluation products for autonomous vehicle planning and control. Requires 8+ years of relevant experience, strong Python/data-library skills, familiarity with Git on Linux, and experience with simulation, dashboards, and vehicle-related systems; C++ and Bazel experience are desirable.

NVIDIA seeks a Software Engineering Intern to work on Nsight Systems within the Developer Tools team. The role is remote (team members in Poland, Germany, and the US) and involves implementing data visualization and analysis features, participating in the full feature lifecycle (requirements, implementation, testing, presentations), and collaborating across time zones. Required: working knowledge of C++, frontend development skills, and pursuit of a Master's degree in Computer Science/related field. Nice-to-have: Arm processor experience, Android development, and Python. Posted salary range: 117,750–204,100 PLN per year.

Work with key customers and internal teams to analyze and optimize complex workloads for current and next‑generation NVIDIA hardware. Requires a Masters (or equivalent), 8+ years' relevant experience, strong C/C++ programming (CUDA preferred), expertise in CPU/GPU architecture and low‑level performance optimization, and strong problem‑solving and communication skills.

Work on map-enhanced autonomous driving: design and implement robust localization and mapping solutions (real and synthetic data), write safe, high-performance C++ using CUDA/GPGPU, and productize software to automotive safety and quality standards (MISRA, ISO26262). Education/experience options: PhD+2 yrs, MS+4 yrs, or BS+6 yrs in CS/CE or related field.

Work on analyzing telemetry and workload data from GPU-accelerated clusters to identify platform and application improvement opportunities, produce visualizations and lightweight ML/DL implementations, and communicate findings to engineers and leadership. Requires 5+ years analyzing complex datasets, strong Python and JavaScript skills, and hands-on experience with telemetry/observability stacks (e.g., Grafana, Elasticsearch, Splunk).

NVIDIA seeks a Principal System Software Engineer for the Data Center MODS organization to architect and scale L10/L11 diagnostic systems for Cloud Service Providers. The role requires 15+ years of system software experience, expertise in distributed systems, hardware/software interfaces, x86/ARM architectures, Linux internals, firmware (UEFI/BIOS), Redfish/HMC/BMC protocols, platform security, and strong experience with automated/AI-first software testing. Location indicated as US (Santa Clara) and Remote. Salary range: 272,000–431,250 USD per year.

Work on designing, implementing, and running core attestation cloud services that integrate hardware trust mechanisms with large-scale distributed systems. Responsibilities include API and SDK/CLI development, reliability and SLO/SLI-driven operations, trust-material distribution, verification workflows, and mentoring. Requires extensive distributed systems and cloud experience with security-focused knowledge such as PKI, TLS, signing, and secrets management.