NVIDIA seeks an AI Solutions Architect with 5+ years' experience in AI/software engineering to profile and optimize model training/inference on GPUs, develop and optimize GPU kernels (GEMM, attention), build POCs for LLMs and recommenders, and lead customer-facing technical engagements. Open to remote work with occasional travel; salary range USD 152,000–241,500 per year.

Role involves designing and evaluating routing policies for LLM traffic, building and running agentic benchmarks, contributing code and design docs to open-source, and collaborating with research and engineering teams to integrate optimized inference solutions. Requires 8+ years' experience with deep learning frameworks (PyTorch or TensorFlow), strong ML and systems fundamentals, and experience in model evaluation and benchmarking.

Hands-on role bridging hardware bring-up, sensor integration, and deployment of robotics models on NVIDIA embedded platforms. Requires 5+ years in embedded systems (experience with Jetson), strong ROS 2 fluency, sensor pipeline integration (cameras, LiDAR, IMU), and expertise in AI model deployment/optimization (TensorRT, GPU profiling) for edge robotics applications.

NVIDIA seeks a Senior AI Compute Engineer to join the Infrastructure Specialists team to plan, deploy, manage, validate and hand over large-scale AI Compute/HPC systems. Role requires 8+ years of deployment/support experience, Linux system administration, scripting (Bash/Python/Ansible), cluster provisioning, schedulers (e.g., SLURM), benchmarking (HPL, NCCL, MLPerf), Kubernetes, and customer-facing skills. Up to 20% travel within the United States. Salary ranges provided for levels 4 and 5.

Role requires working with EDA/CAD developers and semiconductor customers to accelerate EDA and manufacturing workflows using NVIDIA GPUs and software (e.g., cuLitho, CUDA). Requires 4+ years in semiconductor design/EDA/manufacturing or AI/ML applied to these domains, experience with Python/C/C++, AI frameworks (PyTorch/TensorFlow), and familiarity with HPC, containers, and distributed GPU systems. Master's/PhD or equivalent experience preferred.

Role involves co-designing next-generation data center platforms and scalable communications software (e.g., NCCL, NVSHMEM, UCX). Responsibilities include identifying communication bottlenecks, designing and implementing communication technologies, building proofs-of-concept, running experiments, and using simulation and quantitative modeling to evaluate performance at large GPU scales. Requires M.S./Ph.D. or equivalent, 12+ years relevant experience, strong C/C++, parallel programming and communication runtime experience, deep understanding of OS/system/network architecture, and strong Linux skills. Familiarity with CUDA, high-performance networks (InfiniBand, RoCE, NVLink), and deep learning frameworks is a plus.

NVIDIA seeks a Senior Solutions Architect to support higher education and research institutions in computational physics, engineering simulation, scientific AI, and HPC. The role involves architecting GPU-accelerated solutions, profiling and optimizing scientific applications and AI workloads, and collaborating with researchers and internal teams. Required: BS/MS/PhD or equivalent, 8+ years in accelerated computing and parallel/GPU computing, strong Python and C++ skills. Salary range listed: 184,000–287,500 USD base per year. Travel up to 20%.

NVIDIA seeks a Senior AI Compute Engineer to work with customers, partners and internal teams to plan, deploy and support large AI factory systems. Responsibilities include Linux-based system administration, data center networking and monitoring, automation/scripting, troubleshooting hardware and software issues, creating handover documentation and knowledge transfers. Requires a bachelor’s degree or equivalent and 8+ years of data center support and deployment experience; excellent English communication skills. Kubernetes, NVIDIA/AI infrastructure experience and industry data center certifications are listed as desirable.

Lead technical design and deployment of AI/ML solutions for NVIDIA GeForce NOW, including real-time diagnostics, LLM chatbot, forecasting, constraint-optimized capacity allocation, anomaly detection, retention modeling and large-scale production analytics. Requires extensive software and data science experience and hands-on experience with tools such as Python, Spark, Databricks, MLflow, Kubernetes and related MLOps technologies.

Role requires characterizing and benchmarking large-scale LLM training/inference on GPU/CPU clusters, focusing on networking and communication libraries (NCCL, RDMA, RoCE, MPI). Responsibilities include profiling, developing PyTorch trace-based tools, cross-team performance analysis, and defining test plans. Requires experience with CUDA, deep learning frameworks, containers, and extensive performance evaluation experience.

Seeking a Senior Scientist to develop LLM-based synthetic data generation (text, code, structured, multimodal) and associated SDKs within the NVIDIA NeMo ecosystem; responsibilities include building scalable data pipelines, automated quality evaluation, contributing open-source code, collaborating with model teams, and publishing research. Requires PhD or equivalent and 3+ years research experience in synthetic data/generative or multimodal ML.

Lead research and engineering to build physics-informed synthetic data pipelines, surrogate models, RL/online learning-based calibration policies, and GPU-accelerated real-time AI systems for fault-tolerant quantum computing. Requires MS (PhD preferred) and 8+ years of experience in quantum systems and ML; role is US-based/remote with specified Santa Clara and Redmond locations.

NVIDIA seeks a Senior AI/HPC Engineer / Solution Architect to deploy, manage, and maintain Linux-based AI/HPC infrastructure for customers. The role involves system and network design, cluster management, automation, troubleshooting, documentation and customer-facing support for large GPU clusters and AI workloads. Requires 5+ years of relevant deployment/support experience and strong Linux, networking, scheduler, and automation skills.

Role at NVIDIA on the perception team to design end-to-end perception solutions for autonomous vehicles (lane graphs, road boundaries, traffic elements) using deep learning. Responsibilities include applied research, working with large data and labeling teams, simulation/augmentation, and productizing models to meet safety, latency, and robustness requirements. Minimum experience varies by degree (PhD 4+, MS 6+, BS 8+).

Senior Principal Architect in NVIDIA's Advanced Development team working on GPU Networking to optimize AI workloads. Responsibilities include leading vision, architecture, and proof-of-concept development across distributed AI, HPC, SDN, virtualization, storage and related data center technologies. Requires M.Sc. or Ph.D. (or equivalent), 8+ years industry experience in systems architecture or related fields, experience with virtualization, networking, storage, Windows and Linux drivers, and strong performance profiling and optimization skills.

Lead technical collaborations with supercomputing centers and industry partners to develop hybrid quantum-classical applications; drive research in AI for quantum algorithms; manage execution of technical projects with QPU builders and strategic partners; publish research and represent NVIDIA at conferences; support customer adoption through strategic technical engagement. Requires PhD or equivalent, 9+ years working on quantum algorithms and applications, and demonstrated technical leadership.

NVIDIA is hiring a Senior Solutions Architect to lead customer technical engagements with hyperscalers and cloud providers for AI training, inference, and large-scale AI infrastructure. Requires 8+ years experience, strong Linux and ML infrastructure knowledge, and proficiency in Python; experience with GPUs/CUDA, containerization (Docker/Kubernetes), distributed training, and frameworks like PyTorch or JAX is desirable. Posted salary ranges from USD 184,000 to 356,500 per year across levels.

NVIDIA seeks a Senior AI Infrastructure Software Engineer for the DGX Cloud team to design, build, and maintain scalable AI platforms for large-scale training, inference, fine-tuning, and agentic AI. Responsibilities include developing platform tools, optimizing AI/ML workload efficiency and resiliency, triaging failures from application to hardware, co-designing APIs, and defining reliability metrics. Requires 8+ years building software infrastructure for large-scale AI systems, experience with Kubernetes and observability stacks (ELK, Prometheus, Loki), proficiency in Golang/Python/C/C++, and experience with distributed systems and AI training/inference. Location: US (remote / Redmond, Seattle, Santa Clara).

Work on the open-source Triton compiler to design and implement compiler technology (using MLIR and Triton's Python DSL), optimize high-level kernels to efficient low-level GPU code, and hand-tune critical paths (inline PTX). Collaborate with hardware architects and the CUDA compiler team; experience tuning BLAS/deep-learning kernels, numerics/linear algebra, and ML compilers (TVM/MLIR) is a plus. Base salary range: 184,000 USD - 287,500 USD per year.

NVIDIA seeks a Senior DL Algorithms Engineer to enable and optimize open LLM/Omni models (e.g., Nemotron, Cosmos) on NVIDIA's accelerated inference software stack. Responsibilities include contributing to open-source frameworks (TRT-LLM, vLLM, SGLang, FlashInfer), profiling and removing bottlenecks across the inference stack, benchmarking, and co-designing with partner teams. Requires 3+ years' experience, strong deep learning and inference background, GPU performance optimization, PyTorch or equivalent, and understanding of computer/GPU architecture.