NVIDIA jobs

Manager-level Solutions Architecture leadership role at NVIDIA overseeing the Retail Industry team of solutions architects. Responsibilities include industry strategy development, customer technical engagements, AI/GPU solution design for retail/CPG use cases, hiring/training architects, and customer adoption support. Requires BS/MS/PhD in engineering/math/CS, 3+ years technical leadership, and 8+ years AI/ML experience. US-based, full-time.

Senior Product Engineer role at NVIDIA for the Datacenter business, focused on GPU hardware production and manufacturing process optimization. Responsibilities include coordinating production ramp, defining test requirements, optimizing yield and quality metrics, and managing component qualifications. Requires BS/MS in EE/CE, system architecture knowledge, and production engineering expertise. Located in United States.

Senior Software Engineer – NCCL role at NVIDIA in communication libraries and network software team responsible for designing and maintaining optimized communication runtimes for Deep Learning frameworks (NCCL for TensorFlow/PyTorch) and HPC interfaces (UCX for MPI/OpenSHMEM). Responsibilities include runtime design/implementation, parallel programming specification contributions, system software development enabling GPU/system interactions, and proof-of-concept evaluation. Requires MS/PhD in CS/CE or equivalent, 5+ years relevant experience, excellent C/C++ and Linux skills, computer system architecture expertise, parallel programming/communication runtime background. Located in United States, full-time. Base salary range $152k–$241.5k.

Systems Quality and Reliability Engineer – LPU role at NVIDIA responsible for RMA/failure analysis debug, root-cause analysis, reliability testing, quality trend monitoring, and field data analysis for AI/ML products. Responsibilities include conducting debug/FA activities, managing factory partners, and overseeing hardware quality metrics. Requires BS/MS in EE/Physics or equivalent, 5+ years hands-on systems test/validation, lab equipment expertise, FA techniques knowledge (FIB, SEM, TDR), proficiency in Python/Perl/C++ and high-speed interfaces. Located in United States. Base salary range not specified.

Senior Solutions Architect role at NVIDIA's Infrastructure Specialists team focused on AI Factory observability, monitoring, and visualization. Responsibilities include running validation tools, establishing health metrics, building telemetry pipelines, developing automation (Python/Shell) for system data collection, and collaborating with hardware/software teams on HPC and AI factory readiness. Requires BS in CS/engineering/math or equivalent, 6+ years Linux/HPC/AI systems management, expertise in multi-GPU clusters, networking, and observability platforms. Remote, US-based, full-time.

Senior Systems Software Engineer (SRE) role at NVIDIA focused on designing, building, and maintaining large-scale GPU cloud observability and telemetry platforms. Responsibilities include system design, reliability engineering, automation, and incident response for internal/external-facing services. Requires 5+ years of systems software experience, knowledge of Kubernetes, Docker, open-source cloud technologies, and strong C/C++ or Python skills. Remote, US-based. Base salary range $152k–$287.5k depending on level.