Role to invent and reformulate numerical algorithms co-designed for NVIDIA GPU architectures, develop and evaluate linear/nonlinear solvers (e.g., Newton-Krylov, multigrid, AMG, domain decomposition), build GPU-native prototypes, and collaborate with research and engineering teams. Requires PhD or equivalent in a relevant field, 5+ years' experience, proficiency with PDE discretization and numerical methods, programming in C++ and Python, and experience developing or optimizing CUDA/GPU code and using profiling/benchmarking on GPU or multi-GPU systems.

Develop geometry-to-simulation methods and AI-native algorithms for mesh generation, adaptation, spatial data structures, and curved/high-order discretization targeting NVIDIA GPUs. Collaborate across Omniverse/OpenUSD/Warp, solver engineering, NVIDIA Research, academia and industry. Requires PhD or equivalent in a related field, 5+ years of relevant experience, and proficiency in C++ and Python. Listed base salary ranges (EUR) vary by level.

NVIDIA seeks a Senior NCX/DSX engineer to provide hands-on technical support and implementation for AI workloads across NCP, DGX Cloud, and major CSPs. Responsibilities include building and deploying distributed training and inference solutions, profiling and tuning workloads, implementing observability and SLO/SLA monitoring, and producing runbooks and integration guides. Requires 8+ years in customer-facing technical roles and strong expertise in Linux, Kubernetes, containers, GPU scheduling, Python/Go, and ML frameworks such as PyTorch or TensorFlow.

Develop core autonomous driving features by integrating perception DNNs and map data to build real-time 3D world models and BEV representations for HD mapless driving. Role includes leading technical initiatives, mentoring and hiring engineers, and ensuring algorithms meet automotive quality and safety standards. Requires 10+ years experience (including 2+ years in AV/robotics) and 2+ years technical leadership; experience with computer vision, state estimation, sensor calibration, real-time systems, and embedded/automotive software is valued.

NVIDIA seeks a Senior Research Scientist in AI Security to research and develop methods to secure AI models, agents, and infrastructure. Requires a Master's or PhD (or equivalent), 5+ years' experience in machine learning, cybersecurity, or related fields, strong programming skills, and experience with generative AI workflows and security practices. Location: US (multiple states) with remote options; salary ranges provided.

Join NVIDIA's TensorRT team to design and implement GPU code generation and compiler optimizations (operator fusion, scheduling, specialization) for high-performance ML inference. Requires strong C++ and GPU optimization experience, familiarity with CUDA and compiler tooling (MLIR), and at least 4 years of relevant software development experience. Location includes Santa Clara / US with hybrid work.

NVIDIA seeks a GenAI Algorithms Intern to develop and integrate model optimization techniques (quantization, pruning, distillation, sparsity, speculative decoding, NAS) into NVIDIA and open-source inference frameworks (Model Optimizer, TensorRT-LLM, NeMo, PyTorch, Hugging Face, vLLM). Candidate should be pursuing a Master's or PhD in CS/AI/related fields and have proficiency in Python, PyTorch, modern ML frameworks, and experience or interest in GPU-level optimization (CUDA, Triton).

Work on NVIDIA Nsight Compute to design and implement features for GPU performance profiling with emphasis on AI applications. Collaborate with compiler and CUDA driver teams. Requires 5+ years software engineering experience, BS in EE/CS (or equivalent), strong C++, and GPU hardware knowledge; CUDA kernel programming and DWARF parsing are desirable. Posted salary ranges: USD 152,000–287,500 (base, by level).

NVIDIA seeks a Senior Libraries Engineer for AI and HPC to develop, optimize and benchmark high-performance parallel numerical libraries used in AI, data analytics, image processing and scientific simulations. Requires 5+ years building and optimizing parallel numerical applications with GPU acceleration (CUDA), strong C/C++ and Python skills, and leadership experience.

Responsible for designing end-to-end prediction solutions and developing innovative deep learning models (e.g., Transformers, BEV, end-to-end models) to produce multi-modal, scene-consistent forecasts for road participants. Requires strong hands-on experience with deep learning frameworks (PyTorch), programming in Python and/or C++, data-driven development with large labeled datasets, and productization for safety, latency, and software robustness. Minimum experience varies by degree (PhD: 6+ years; MS: 10+; BS: 12+).

NVIDIA seeks a Senior Perception Software Engineer to design, implement, and productize perception software components for autonomous driving. Responsibilities include full SDLC, writing testable C++/Python code, integrating perception components on embedded real‑time platforms, deploying DNN models, and using real and synthetic benchmark data. Required: BS/MS/PhD (or equivalent), 12+ years' experience on embedded real‑time platforms, strong C++ and Python skills, and experience with test‑driven development.

Lead measurement and analysis of coding-model performance and design/implement post-training pipelines (SFT, RL, reward modeling) to improve code generation and software-engineering capabilities. Requires a Bachelor's (or equivalent) and 12+ years' experience, strong Python skills, expertise with LLMs/transformers, and knowledge of reinforcement learning and software engineering. Location indicated as US (Santa Clara) with remote options; stated base salary ranges USD 224,000–431,250.

Seeking a Senior AI Developer Technology (DevTech) Engineer with 8+ years' experience to develop and optimize GPU-accelerated solutions for generative AI (LLMs, diffusion, multimodal) and contribute to training/inference frameworks, low-level libraries, and performance tuning on modern CPU/GPU architectures. Role involves partnering with external developers, industry and academic experts, and internal NVIDIA teams.

Join NVIDIA Halos as a Senior Software Safety Engineer to specify, implement, and verify safety requirements across software and hardware for AI-based autonomous systems (automotive and robotics). The role involves system and component safety analyses (FTA, FMEA, DFA, CCF, STPA, HARA), producing safety plans and safety case documentation, engaging with certification bodies, and applying AI safety methods. Requires a BS/MS/PhD or equivalent and 12+ years of relevant experience.

NVIDIA seeks a Senior Deep Learning Software Engineer to develop and scale automated inference and deployment solutions (TRT Model Optimizer). The role involves working with PyTorch/Torch 2.0 tooling, HuggingFace, GPU kernel-level performance analysis and high-performance optimization techniques (quantization, pruning, sharding, parallelism) for LLMs and diffusion models. Requires advanced deep learning experience and strong software engineering skills.

NVIDIA is hiring a Solutions Architect (Data Science) based in Australia (remote) to engage with enterprise customers and partners, design scalable GenAI architectures, run proofs-of-concept and demos, and enable adoption of NVIDIA platforms (including Nemo/NIMs). The role requires deep expertise in generative AI, LLMs, RAG, GPU/parallel computing, ML/DL frameworks, Kubernetes/container orchestration, Python, and presales/customer-facing experience (5+ years). Responsibilities include technical leadership, partner enablement, documentation/training, and cross-functional collaboration with APAC/HQ teams.

Work on the CUDA Tile team to design and implement compiler transformations, MLIR-based dialects and lowering passes, and optimize tile-based kernels for NVIDIA GPU and LPU architectures. Requires 3+ years experience in compiler optimization, IR design, and strong C/C++ skills; familiarity with MLIR, LLVM, XLA, TVM, CUDA and GPU architecture is a plus.

Design, train, and optimize ML models for LiDAR/camera perception and multi-sensor fusion; build end-to-end ML workflows and productize models in C++ for the NVIDIA DRIVE AV platform. Requires MS/PhD or equivalent, 8+ years industry experience applying ML to perception, experience with PyTorch/TensorFlow, and proven productionization of ML models. Listed base salary ranges from 184,000–356,500 USD depending on level.

NVIDIA seeks a senior engineer to design and train large-scale models (LLM/VLM/VLA), build and fine-tune models for deployment in production autonomous vehicles and robotics, integrate ML with vehicle firmware, and work on data generation and model optimization for real-time, safety-critical systems. Candidates should have strong Python and C++ skills, experience deploying production-grade ML, and advanced deep learning expertise.

NVIDIA seeks a PhD intern to research, design, and implement methods for efficient deep learning, including diffusion language models, multimodal generation, and hybrid cloud–edge inference orchestration. Responsibilities include publishing research, collaborating across teams, and transferring technology to product groups. Required: PhD candidacy, strong ML/deep learning knowledge, experience with large language or multimodal models, hands-on large-scale training and model parallelization, and a top-tier conference publication record.