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.

NVIDIA Research is hiring a recent PhD graduate to work on machine learning systems spanning hardware, software, and infrastructure. Responsibilities include analyzing efficiency, scaling, and resilience challenges, developing systems solutions, co-designing ML algorithms and systems, collaborating across teams, and publishing research. Required background includes strong systems knowledge (OS, distributed systems, data management, networking, cloud, or architecture) and experience with C/C++/Python and experimental R&D.

Join NVIDIA's Developer Technology team to research and develop GPU acceleration techniques for deep learning, machine learning, and other AI domains. Role involves in-depth analysis and optimization of complex AI and HPC algorithms, collaboration with research and engineering teams, and publishing findings. Requires a Master’s (or equivalent), 8+ years relevant experience, programming fluency in C/C++, and experience with parallel programming (CUDA, OpenACC, OpenMP, MPI, pthreads) and low-level performance optimizations. Locations listed in the US with hybrid/remote options; posted salary ranges provided by level.

NVIDIA is hiring a Senior Deep Learning Software Engineer (Inference) to design, build, and optimize GPU-accelerated software and inference pipelines for LLMs and generative/multimodal models. The role involves contributing to and optimizing frameworks (vLLM, SGLang, FlashInfer), using tools like CUDA, CUTLASS, Triton, and NCCL, and collaborating across teams. Requirements include a Master's/PhD or equivalent experience and 5+ years of relevant software development experience with strong C/C++ skills; Python and production inference experience are a plus.

Responsible for designing, implementing, and optimizing high-performance dense linear algebra software on GPUs, leading projects and mentoring engineers. Requires 8+ years experience, a degree in CS/Applied Math or equivalent, strong C++ skills, expertise in kernel generation and JIT, and experience with GPU-related technologies (CUDA) and performance optimization. Base salary range shown: $184,000–$356,500 depending on level.

Work with Financial Services capital markets clients to perform proofs-of-concept, profile and optimize ML/DL models for NVIDIA GPU architectures, collaborate with engineering/product/sales teams, build industry-focused collateral (notebooks/blogs), and enable deploying models at scale on cloud and on-prem HPC. Requires 12+ years experience and proficiency in Python and C++.

Lead architecture and development of vehicle and sensor abstraction layers (VAL/SAL), design plugin frameworks and interfaces to sensors and actuators, and improve integration across vehicle and sensor configurations. Responsible for developing production-quality C++ code (including GPGPU/CUDA), validating through real-world and synthetic testing, following automotive safety/quality standards (e.g., MISRA), and managing teams. Requires MS (or equivalent), 12+ years relevant experience and 8+ years of management experience.

Work on design and implementation of GPU-accelerated libraries and SDKs for unstructured sparsity in deep learning and HPC. Responsibilities include developing a C++ system for sparse tensor computations, DSL specifications for sparse storage formats, on-demand code generation, enabling frameworks like Python/PyTorch, and performance evaluation and optimization. Required: BS/MS/PhD (or equivalent), 6+ years developing and optimizing high-performance C++ software, strong Python and CUDA skills, and experience with parallel programming (MPI/OpenMP) and sparse compilers (MLIR or TACO).

NVIDIA seeks a Solutions Architect for its AI Software Segment to develop end-to-end AI solutions, support LLMs and multimodal models, and guide customers through data processing, training, evaluation, RL, and model optimization. Requires 5+ years with AI frameworks (PyTorch, JAX, TensorFlow), Python, Linux, experience with distributed training tools (Kubernetes, SLURM), and expertise in GPU-based model training. Location noted as US (remote) and Santa Clara; salary range stated.

Seeking a Solutions Architect for NVIDIA's Agentic AI team to design and implement agentic AI applications at scale using techniques such as reinforcement learning, inference optimization, and model fine-tuning. Requires 5+ years experience in deep learning/machine learning, strong software engineering skills (Python, C/C++, Linux), experience with GPUs and frameworks like TensorFlow or PyTorch, and familiarity with multi-agent libraries and production deployment patterns (Kubernetes/OpenShift, CI/CD).

Technical lead responsible for defining and implementing GenAI integration strategy with strategic ISV and CSP partners, building reference architectures and production LLM/RAG/multi-agent solutions using NVIDIA libraries and related tools, collaborating across Product, Engineering, Research and Solution Architecture. Requires 8+ years experience and deep hands-on AI/ML and cloud deployment expertise.

NVIDIA is hiring a Senior Deep Learning Software Engineer to design and build PyTorch components optimized for large GPU clusters and supercomputers. The role requires 3+ years in deep learning, proficiency in C++, strong systems and distributed/multithreading experience, and familiarity with GPU/CUDA and Python.

Role to partner with NVIDIA engineering, product, and sales to drive design wins in banking and consumer finance by performing proofs-of-concept, profiling and optimizing ML/DL models on NVIDIA GPUs, and building industry-specific collateral. Requires 12+ years as an ML/Software Engineer, BS/MS/PhD or equivalent experience, strong coding in Python and C++, and experience with ML/DL frameworks (TensorFlow, JAX, PyTorch, Spark, Dask). Base salary range stated: 224,000 USD - 356,500 USD per year.

NVIDIA is hiring a research scientist to design and implement AI algorithms and models for general-purpose humanoid robots and embodied agents, develop large-scale training and inference methods, and optimize/deploy models in simulation and on robot hardware. Requires PhD (or equivalent), strong engineering and prototyping skills (PyTorch/JAX/TensorFlow), Python or C++, and experience with LLMs/multimodal/foundation models and/or robot learning and simulation frameworks. Position is US (remote) with Santa Clara listed; salary ranges are provided in the posting.

Role to scope, design, and implement high-performance numerical dense linear algebra software on GPUs, provide technical leadership, and work with product teams and customers. Requires a PhD or Master’s (or equivalent experience), 5+ years developing production software with CUDA and C++, strong fundamentals in finite precision arithmetic and numerical linear algebra. Locations listed: Germany, Poland, France (also remote).

Senior role to develop scalable library software and optimize high-performance parallel numerical applications across CPU and GPU (CUDA). Requires 5+ years experience, strong C/C++ and software-development skills, performance tuning, benchmarking, and collaboration across distributed teams. Python and familiarity with CI/CD and profiling tools are desirable.

Role involves understanding, profiling, and optimizing DL training and inference on state-of-the-art hardware; collaborating across research and engineering teams; implementing production-quality software and building automation tools. Requires 5+ years experience, strong DL and computer-architecture background, and programming skills in C++ and Python; GPU programming (CUDA/OpenCL) and LLM framework experience are advantageous.

Netguru seeks two Senior AI Engineers for ~6-month full-time B2B freelance engagements (Location: European Union). Requirements include designing and deploying production AI systems end-to-end, experience with orchestration frameworks (LangChain/LangGraph), strong production evaluation frameworks (golden datasets, offline/online evaluation, LLM-as-judge), and production observability (tracing, logging, latency metrics). Role 1 focuses on building and running multi-agent systems in production; Role 2 focuses on conversational LLM systems, structured outputs, observability, and may include voice and vision-language tasks. English working proficiency required.

Lead engineering and delivery of ML-driven recommendation systems for Mapbox's routing cost engine. Responsibilities include building and optimizing ML/data pipelines, leveraging geospatial algorithms, partnering with data scientists, implementing automated QA and monitoring, mentoring engineers, participating in code/design reviews, and joining an on-call rotation. Requires ~8+ years backend and ML experience, reinforcement learning knowledge, Python, large-scale distributed processing (Hadoop/Spark/Airflow/Dask), and cloud infrastructure experience (AWS).