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).

Join the DRIVE Road Structure / Online Mapping / Context Fusion team to design and implement learning-based, multimodal sensor-fusion systems and shared spatiotemporal world representations for autonomous vehicles. Requires 8+ years experience (including 2+ years in AV/robotics and 2+ years leadership), strong C++/Python skills, deep-learning experience (PyTorch), and expertise with LiDAR/camera/radar fusion, 3D perception, and GPU-accelerated training/inference.

NVIDIA GEAR is hiring a PhD research intern to design and implement AI algorithms and models for humanoid robots and embodied agents, develop large-scale training and inference methods, optimize and deploy models in simulation and on robot hardware, and collaborate with research and engineering teams. Required: pursuing a PhD in a related field, strong Python and prototyping skills, experience with ML frameworks (PyTorch/JAX/TensorFlow), and background in multimodal foundation models or robot learning. Expected hourly rate listed as 38–94 USD. Applications accepted through at least November 3, 2026.

Role at NVIDIA to drive architecture and implementation of math libraries APIs and documentation to be LLM-first, collaborate with stakeholders, build metrics and tooling for LLM/agentic code generation, and prototype solutions to make CUDA-X libraries accessible to LLMs and AI agents. Requires 3+ years' experience and strong knowledge of LLMs, API design, and CUDA/X math libraries.

NVIDIA is hiring a Principal Software Architect, Networking to design next-generation scale-up fabric for AI data-centers. The role emphasizes collective communication, vertical co-development of AI networks with hardware/software teams, scalability, reliability, and support for large-model training. Requires 6+ years in software architecture and networking and strong AI research expertise; advanced degree and large-scale data-center experience are preferred.

NVIDIA seeks an engineer to develop AI/ML-based tools and LLM integrations to automate performance verification workflows for GPUs, SoCs, and related systems. Responsibilities include building agents to detect regressions and root causes, designing data pipelines for model training, collaborating with verification teams, and measuring automation impact. Requires B.Tech/M.Tech/PhD in EE/CS or related field and 3+ years in hardware verification, performance validation, or EDA tool development.

Role to build and operate scalable telemetry pipelines and observability platforms; standardize and automate incident, maintenance, and on-call workflows; and build and maintain hardware/software catalogs and inventories. Requires BS or equivalent and 8+ years of infrastructure/platform engineering or tooling experience. Proficiency in Python, Go, TypeScript, or Java.

Hands-on engineering role to design and optimize end-to-end training workflows for robotics foundation models (pre-training, fine-tuning, RL) across multi-GPU and multi-node environments. Requires 5+ years experience, an advanced degree or equivalent, and experience with frameworks and tools such as PyTorch, NVIDIA NeMo, JAX, Hugging Face, profiling tools, and robotics simulation/platforms (e.g., Isaac Sim, Cosmos, GR00T). Salary ranges provided for levels 3 and 4.

Technical individual contributor responsible for architecting and hands-on building of a Retail & CPG platform using NVIDIA technologies (NeMo, Nemotron, RAPIDS, cuOpt, CUDA, Triton, TensorRT). Requires 15+ years experience, developer experience building AI agents, and domain familiarity with retail, supply chain or marketplaces; deliver production-ready, cost- and latency-efficient systems and reusable reference architectures.

Work across research, engineering, and product teams to develop workflows, profile and benchmark applications, build example/tutorial applications, and represent NVIDIA at scientific events. Requires 5+ years building HPC/AI/ML software for physics and numerical simulations and strong experience with GPU-accelerated computing and modern ML frameworks.

Lead a team building NVIDIA's next-generation data annotation platform supporting large-scale annotation projects and external partners. Responsibilities include hands-on system design and Python programming, building auto-labeling and models-in-the-loop applications, owning data engineering (event logging, ETL, data lake, metrics/dashboards), directing frontend annotation interfaces across modalities, and aligning roadmaps with research and operations. Minimum 10 years professional software engineering experience, 2+ years as a technical lead or manager. Stated base salary ranges: USD 200,000–322,000 (Level 3) and USD 248,000–391,000 (Level 4).

NVIDIA is hiring engineers to work on CUDA Tile and TensorIR compiler technologies for GPUs. Responsibilities include designing and implementing compiler transformations, MLIR dialects and lowering passes, defining public APIs, and optimizing tile-based kernels for performance across NVIDIA GPU architectures. Required: BS/MS/PhD or equivalent and 3+ years' experience in compiler optimization, performance analysis, IR design, and strong C/C++ skills.

NVIDIA is hiring an AI Compiler Engineer to work on kernel generation, computational graph optimizations, and compiler frameworks for next-generation GPUs. The role requires 3+ years of relevant industry compiler experience, hands-on MLIR knowledge, and strong C/C++ and Python programming and software design abilities. Collaboration with hardware, software, and research teams and experience with AI workloads (inference/training, LLMs, datacenter deployments) are emphasized.

Role requires partnering with industry and account teams to define and deliver solutions that integrate NVIDIA technology into manufacturing and robotics use cases (datacenter and edge). Requires 8+ years in robotics/AI/humanoids, experience with GPU-based parallel computing, deep learning frameworks, containerization (Docker/Kubernetes), simulation tools (Isaac Sim/Lab), and customer-facing technical engagements. BS/MS/PhD in Robotics, Engineering, Computer Science or equivalent experience.

Design, build and optimize GPU-accelerated software and inference pipelines for state-of-the-art LLMs, multimodal and generative AI across NVIDIA accelerators. Contribute to and maintain inference frameworks (vLLM, SGLang, FlashInfer), use tools/plugins such as CUTLASS, Triton, NCCL and CUDA kernels, and work with cross-functional teams to drive performance improvements. Requires MSc/PhD or equivalent experience and 5+ years of relevant software development experience with strong C/C++ skills.

NVIDIA seeks a Senior Solutions Architect for generative AI with deep hands-on experience in large-scale GPU systems. Responsibilities include accelerating customer workloads, designing and optimizing AI clusters (compute, networking, storage, orchestration, observability), profiling distributed training/inference, diagnosing GPU/network/storage issues (InfiniBand, RoCE, RDMA, NCCL, NVLink, NVSwitch), and leading POCs and performance studies. Role requires ~6+ years experience. Occasional travel (~20%) and remote work are supported. Provided salary ranges: USD 184,000–287,500 (Level 4) and USD 224,000–356,500 (Level 5).

NVIDIA is hiring a Solution Architect to support government clients across regions by developing strategies, running proofs-of-concept, and demonstrating AI solutions using NVIDIA software and hardware. Requires a Master's or equivalent, at least 5 years' technical consulting or software development experience (including 3 years delivering computer vision, deep learning, or generative AI solutions), and hands-on experience with Python, PyTorch, and containers. Occasional international travel may be required.

Role involves developing open-source software to serve GPU-hosted LLMs (vLLM, SGLang, TensorRT-LLM), extend Dynamo for agentic inference (long-horizon reasoning, tool calling, multi-turn state), optimize inference-state management across memory/storage (KV/prefix cache, NIXL), and evolve distributed inference frontends. Requires MS/PhD or equivalent, 10+ years experience, and strong Rust and Python skills.