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.

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.

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.

NVIDIA seeks a Senior Solutions Architect to advise customers and build proof-of-concepts for Generative AI and LLM inference on NVIDIA GPU platforms. Requires 8+ years' experience with deep learning frameworks (PyTorch/TensorFlow), strong Python and C/C++ skills, Kubernetes and MIG management, containerization, monitoring/observability, performance analysis, and experience with NVIDIA software (e.g., TensorRT). Role may require ~20% travel. Salary range: 184,000–287,500 USD per year.

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).

Join NVIDIA Research Singapore to research and design efficient generative AI and foundation models (LLMs, visual generation, robotics) optimized for NVIDIA GPUs. Responsibilities include publishing original research, collaborating with internal and external teams, mentoring interns, and transferring technology to product groups. Requires a PhD in CS or EE, ~4 years' experience, strong Python prototyping skills; C++ and CUDA and familiarity with PyTorch are a plus.

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 is hiring a Senior Compiler Engineer for its Deep Learning & AI Compiler (DLC) team to analyze deep learning networks, develop compiler optimization algorithms, and collaborate with software framework and GPU architecture teams. The role requires 3+ years of relevant work or research experience, strong C/C++ and Python skills, and experience with compiler technologies such as MLIR, LLVM, XLA, or Triton; GPU/CUDA experience and deep learning framework knowledge (PyTorch, JAX) are listed as advantages.

NVIDIA is hiring a Senior Machine Learning Applications and Compiler Engineer to build and maintain high-performance runtime and compiler components for the LPX inference stack. Responsibilities include mapping large-scale inference workloads to NVIDIA systems, extending software ecosystem libraries and tooling, benchmarking and profiling for performance, and collaborating with hardware architects. Requires MS/PhD (or equivalent) with 6 years relevant experience, strong systems programming skills (C/C++ and/or Rust), compiler/runtime development experience (IR design, passes, code generation), familiarity with LLVM/MLIR, and experience with TensorFlow, PyTorch, and ONNX.

Join NVIDIA's Architecture Modeling group to model GPU architecture and baseboard components, develop and validate functional and performance simulation models, build tests and testing infrastructure, and improve the simulation platform. Requires 5+ years' relevant experience, strong C/C++ and scripting skills (Python/Perl), SystemC/TLM modeling experience, and familiarity with ML frameworks such as PyTorch and TensorFlow.

NVIDIA seeks a Senior Deep Learning Performance Architect to develop GPU and system architectures, build power and performance models for AI inference, construct and evaluate deep learning algorithms, and collaborate across software, research, and product teams. Requires MS/PhD or equivalent, 5+ years' relevant experience, strong ML/math foundation, expert programming in C/C++/Python, and familiarity with GPU computing (CUDA) and HPC (MPI/OpenMP).

NVIDIA is hiring a Senior Machine Learning Applications and Compiler Engineer for the LPX inference and compiler stack. The role involves building and maintaining compiler and runtime components, implementing mappings of large-scale inference workloads, extending NVIDIA software ecosystem, and collaborating with hardware teams. Required: MS/PhD or equivalent with 5 years' relevant experience, strong systems programming (C++/Rust), compiler/runtime experience (LLVM/MLIR), and familiarity with TensorFlow/PyTorch/ONNX.

Work with NCCL, NVSHMEM and related technologies to integrate new communication features into AI frameworks (PyTorch, JAX, TRT-LLM, vLLM, SGLang), perform workload and performance analysis on multi‑GPU clusters, author fused compute-communication kernels, and influence communication library roadmaps. Requires 8+ years of software engineering and HPC/AI experience and proficiency with Python, C++, CUDA and performance tooling.

Join NVIDIA's Quantum Computing team to collaborate with product, research, engineering teams and external partners to develop real-time quantum error correction and calibration, distill product requirements across hardware, software and firmware, and create and review test cases. Requires a bachelor’s (or equivalent) and 5+ years post-bachelor’s experience with hands-on work on real qubits and quantum control systems.

NVIDIA Research Singapore is hiring a Research Scientist to research, design and accelerate generative AI models (LLMs, foundation models, visual generation, robotics) with a focus on GPU-efficient computing. Responsibilities include publishing original research, collaborating across teams, mentoring interns, and transferring technology to product groups. Required: ~2 years' experience, degree in CS or EE, strong research record, Python prototyping skills; C++/CUDA and PyTorch knowledge are a plus.

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.

Work with science and research institutes in Japan to promote and deploy NVIDIA GPU-accelerated solutions for machine learning and generative AI. Responsibilities include leading research collaborations, designing architectures and demos, creating and running proofs of concept, onboarding developers to NVIDIA AI platforms (NIMs, NeMo), and presenting technical topics. Requires 5+ years' experience in generative AI/deep learning, strong coding skills (Python, C/C++, Bash, Linux), and excellent Japanese and business-level English communication.

NVIDIA seeks a Solutions Architect (Data Science) in ANZ to enable GSIs and AI consultancies on generative AI and LLM solutions (Nemo/NIMs), build GenAI full-stack solutions, run PoCs/demos, and support GPU-accelerated deployments. Requires deep expertise in generative AI/LLMs, ML/DL frameworks, Python, GPU/parallel computing, container orchestration and 5+ years' related experience.