Drive deployment and integration of NVIDIA AI networking platforms (Spectrum-X, BlueField DPUs, InfiniBand/RoCE) at customer data centers. Requires 6+ years of hands-on data center/network engineering experience, deep protocol knowledge (BGP, OSPF, L2/L3), cluster bring-up and troubleshooting, and experience with GPUs, NICs, Linux, and automation.

NVIDIA is hiring software engineering interns to expand Device eXtension (Dx) APIs for GPU-accelerated math libraries. Interns will prototype and develop numerical algorithms, analyze and optimize GPU implementations, define APIs, and prototype tooling to make math libraries LLM-friendly. Candidates should be pursuing an MS or PhD in CS/AI/Applied Math or related field and have strong C++ skills, experience with CUDA or other parallel/GPU programming models (OpenMP, OpenCL, SYCL), and familiarity with linear algebra, FFTs or data compression algorithms. Compensation ranges were provided for France and Poland in the posting.

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 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).

NVIDIA seeks a Senior AI Security Engineer to develop secure agentic systems and cybersecurity tooling, turning research prototypes into production-ready services. The role requires ~8+ years in software/security engineering, experience with backend services, APIs, automation, agent/AI tooling, and familiarity with offensive security and red teaming approaches.

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 is hiring a Senior Security Engineer to define and implement security architecture patterns for AI tooling. Responsibilities include creating shift-left security solutions for AI-generated code, converting standards into machine-enforceable formats, engineering verification workflows and evaluation harnesses, and producing secure reference implementations (templates, Helm charts, container images). Requires 8+ years in security/platform/devops or related engineering, expertise with AI coding agents and non-deterministic evaluation, strong cloud-native and container experience (Kubernetes, Helm), proficiency in Python or Go, and experience with CI/CD, policy-as-code, and security architecture practices. Role is based in the US (including Santa Clara, CA) with remote options mentioned. Salary range: 168,000–270,250 USD per year.

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.

Join an AI networking acceleration team to develop a performance-oriented, open-source inference framework for large data centers and supercomputers. Requires 6+ years experience in C++/C/Rust, Linux, deep knowledge of TCP/IP, and expertise in low-level performance optimizations; CUDA, RDMA, HPC and ML framework experience are advantages.

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.

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.

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.

NVIDIA Learning and Perception research team seeks PhD interns to research and implement embodied and agentic AI methods (perception, agentic reasoning, multi-modal and continual learning, etc.). Interns collaborate with mentors and engineers, prototype on state-of-the-art hardware, and help transfer research to products. Must be pursuing a PhD in CS/EE or related field, have strong knowledge of computer vision/LLMs/agents, excellent programming skills (Python, C++), familiarity with ML frameworks such as PyTorch, and a promising research track record. Hourly pay range stated (USD 30–94 depending on location).

NVIDIA is hiring a Senior Solutions Architect for the AI Factory to design, build and maintain large-scale AI/HPC solutions. The role involves technical discovery, end-to-end architecture (compute, networking, storage, cluster management, orchestration), running PoCs and workshops, and working with sales and implementation teams. Relevant experience includes enterprise AI/HPC infrastructure, GPU-accelerated computing, datacenter and MEP systems; travel across Africa is expected.

NVIDIA is hiring a Solutions Architect for its AI Factory practice (covering North Africa) to design, build, and maintain large-scale AI/HPC solutions. Requires 5+ years in senior technical roles, experience with datacenter and GPU-accelerated infrastructure, leading technical discovery, proofs-of-concept, and customer workshops. Role may be based in the UAE (Dubai) and includes up to ~20% travel across North Africa; Arabic and French fluency are listed as distinguishing skills.

The role involves researching and developing techniques to GPU-accelerate deep learning, machine learning, and other AI/HPC workloads; performing in-depth analysis and optimization of complex algorithms on modern CPU/GPU architectures; collaborating with industry and academia; publishing/presenting optimization techniques; and influencing next-generation hardware and software design. Requirements include an advanced computational degree (or equivalent), 8+ years relevant experience, programming fluency in C/C++, experience with parallel programming models (CUDA, OpenACC, OpenMP, MPI, pthreads), low-level performance optimization skills, and strong CPU/GPU architecture knowledge.

Responsible for full SDLC: design, implement, test, integrate and document perception software components and deploy state-of-the-art DNN models to embedded platforms. Requires 12+ years' experience with embedded real-time applications, strong C++ and Python skills, experience with test-driven development, and familiarity with CUDA/SIMD and deep learning frameworks (e.g., TensorFlow, PyTorch).