Lead developer relations efforts for capital markets by engaging quants, traders, developers, and partners to drive adoption of NVIDIA GPU-accelerated software (CUDA, CUDA-X, AI frameworks). Requires deep technical expertise in capital markets workflows, HPC/AI performance optimization, and 12+ years of professional experience (with 8+ years in capital markets or quantitative finance). Responsibilities include technical advisory, partner onboarding, benchmarking, community building, and influencing product roadmaps.

Work involves building high-performance runtime and compiler components for inference (LPX), implementing mappings for large-scale inference workloads, integrating with NVIDIA software ecosystem, and benchmarking and profiling for performance. Candidates should be pursuing or recently completed an MS/PhD (or equivalent), have systems-level programming experience (C/C++ and/or Rust), and hands-on experience with compiler/runtime development (LLVM/MLIR, IR design, optimization passes) and deep learning frameworks (TensorFlow, PyTorch, ONNX).

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.

Role focuses on research, implementation, and validation of model and algorithm improvements for human-centric video generation and world models. Responsibilities include prototyping spatial multimodal and neural-rendering approaches, improving training and inference efficiency, defining training objectives for sim-to-real/real-to-sim generalization, building domain-specific benchmarks, and translating research into production-grade checkpoints and integrations. Requires PhD or equivalent, 8+ years applied research/industry experience, 3+ years designing/training generative models, and advanced proficiency in Python, PyTorch, C++, and CUDA.

NVIDIA is hiring a Senior Sensor Fusion Engineer to develop core functionality for autonomous driving by fusing perception DNNs and map signals into real-time 3D world models. The role focuses on enabling HD mapless urban driving and L3 highway autonomy using camera, lidar, and radar inputs, building occupancy grids and occlusion masks, and producing automotive-quality code. Requires 8+ years' experience (with 2+ years in AV/robotics) and experience on embedded/automotive platforms.

NVIDIA is hiring a new-college-grad engineer to build and maintain high-performance compiler and runtime components for LPX inference, implement mappings for large-scale inference workloads, and benchmark/profile performance. Candidates should be pursuing or recently completed an MS or PhD (or equivalent), have systems-level programming experience (C/C++ and/or Rust), and hands-on experience with compiler/runtime development such as LLVM/MLIR, IR design, and optimization passes.

Responsible for end-to-end P-Rel production infrastructure and supply chain from NPI to mass production delivery and implementation at production sites. Duties include production capacity management, risk assessment, infrastructure establishment and maintenance, budgeting, process improvements, and serving as primary contact for multiple production sites. Requires B.Sc. in relevant engineering or equivalent experience, minimum 5 years' experience, proficiency in Microsoft Office and AI tools, and excellent English communication skills.

Senior Solutions Architect responsible for guiding customers on NVIDIA hardware/software for AI and professional graphics workflows. Requires 8+ years software development experience (Python, C/C++), deep learning/CUDA knowledge, familiarity with graphics APIs and GPU architectures, strong Windows/Linux skills, and willingness to travel to customer sites and NVIDIA HQ (Santa Clara, CA).

Lead developer experience (AX) efforts to define standards, tooling, templates, runbooks, and analytics that support both human developers and AI agents. Partner with product teams to analyze journeys, set agent-consumable content standards (e.g., llms.txt, MCP, Agent Skills), evaluate content performance, and drive adoption of practical guidance. Requires ~8+ years in developer relations/DevEx and familiarity with agent workflows and tooling.

Build and optimize inference stacks (vLLM), develop and tune GPU kernels, extend compiler/DSL infrastructure, define benchmarking (including MLPerf), and architect containerized large-scale inference deployments. Requires strong Python and C/C++ skills, GPU/CUDA experience, familiarity with PyTorch and inference engines, container/orchestration experience, and advanced performance engineering; typical experience expectations are 7+ years (BS) or 5+ years (MS).

NVIDIA is hiring for its Deep Learning Compiler (DLC) team to develop compiler optimization algorithms, performance optimizations, and compiler infrastructure for neural networks used across data centers, devices, automotive, and robotics. The role requires 3+ years of relevant work or research experience, proficiency in C/C++ and Python, and familiarity with technologies such as CUDA/OpenCL, MLIR, XLA, TVM, LLVM, and deep learning frameworks like PyTorch. Base salary range: 152,000 USD - 241,500 USD per year.

Lead and grow cross-functional teams to define and deliver end-to-end release scope, packaging, validation, and deployment of datacenter software and firmware (including BMC, FPGA, CPLD, and switch firmware). Require strong experience in system/firmware development, CI/CD tooling (Jenkins, GitLab, Artifactory), Python and Linux, release automation, and measurable release-quality metrics. Role emphasizes scalable, resilient, and secure release flows across diverse customer and cloud environments.

NVIDIA is hiring a Technical Account Manager / hardware engineer to be the main technical contact for enterprise customers, resolving installation, operational and product issues for HPC and next-generation AI server technologies. The role requires 8+ years' experience in customer support and debugging, strong Linux and networking knowledge, virtualization (VMware, Docker, Kubernetes), and familiarity with GPUs, accelerators, and related software (Spark, Ceph, ML frameworks).

Lead onsite factory quality activities for suppliers in East China, including NPI and mass production oversight, supplier audits, root cause analysis, performance metrics, and driving continuous improvement. Requires a bachelor's degree in a related field and a minimum of 5 years' quality experience.

Join NVIDIA's quality team as a Senior Supplier Quality Engineer based in Vietnam (remote). The role focuses on collaborating with contracted electronic manufacturers (CEMs) to maintain and improve quality systems through supplier audits, quality control plans, process analysis, root cause investigations (8D, 5-Whys, fishbone), and corrective actions. Candidate must have a degree in engineering/quality-related field, at least 5 years of supplier quality experience in electronic manufacturing, and strong verbal and written English and Vietnamese communication skills.

NVIDIA seeks a Senior Software Developer for AI Networking to develop production communication frameworks, tools and benchmarks, enable AI models in benchmarking infrastructure, and design automation systems for large-scale clusters. Requires B.Sc./M.Sc. in CS or Software Engineering and 5+ years' experience, professional Python development skills, and strong Linux/command-line expertise. Experience with PyTorch/LLMs, Slurm/Kubernetes, MPI/HPC, InfiniBand/Ethernet, and performance optimization is desirable.

Lead development of real-time, cross-platform desktop and mobile client applications and reusable SDK components for GeForce NOW and related NVIDIA apps. Work spans C++, TypeScript, Python, Swift, platform APIs (Windows, POSIX), CI/CD, telemetry, and collaboration with distributed teams to deliver scalable, tested features.

Role involves evolving PTX language and PTXAS compiler infrastructure, collaborating with GPU architecture and CUDA programming-model teams, implementing compiler front end, optimizer/runtime interactions, and support for object files, debug info, linkers/loaders. Requires BS/MS/PhD in CS or related, 6+ years compiler experience, strong C/C++ skills, and familiarity with GPU ISAs and compute APIs like CUDA.

Role to own end-to-end delivery of large-scale data infrastructure programs (data lakes, pipelines, platforms) for hardware and data engineering teams. Requires 12+ years TPM experience in data infrastructure or distributed systems, familiarity with technologies such as Spark, Kafka, Airflow, Snowflake, and strong skills in system design, stakeholder alignment, program governance, and driving platform adoption.

Lead customer engagement and business development with a major CSP to increase adoption of NVIDIA accelerated computing (GPU/DPU/Networking) across visualization and generative AI/DL/ML workloads. Requires ~12+ years in technical sales, business development, or product management; BSEE or equivalent (MSEE preferred); experience with data center technology and selling to large/hyperscale customers. Responsibilities include strategic relationship building with R&D teams, partnering with technical teams on GPU acceleration, and serving as a product-to-customer liaison.