NVIDIA jobs

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.

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.

Principal Engineer role at NVIDIA setting technical direction for raw-to-insights medical imaging AI and signal processing. Responsibilities include defining architecture for GPU-accelerated reconstruction pipelines across MRI, CT, PET modalities, advancing AI-based reconstruction and denoising, and driving standardization for raw medical data access. Requires PhD in biomedical/EE/CS/medical physics (or equivalent) with 12+ years building computational imaging/signal-processing systems, proficiency with medical imaging modalities, and deep GPU-accelerated computing expertise. Located in United States.

Senior Solutions Architect role on NVIDIA's Higher Education and Research Team, focused on computational physics, engineering simulation, and scientific AI. Responsibilities include partnering with research institutes on accelerated HPC and AI workflows, optimizing scientific applications on GPUs, and helping researchers build physics-informed AI surrogates. Requires BS/MS/PhD in physics/engineering/CS or related field, 8+ years in accelerated computing with GPU optimization experience, and strong fundamentals in Python and C++. Remote role, up to 20% travel.

Senior Systems Software Engineer role at NVIDIA DGX Cloud focused on scaling AI infrastructure and optimizing Kubernetes performance for GPU clusters. Emphasizes end-to-end performance characterization, distributed systems debugging, and testing framework development across GPU, networking, and software stack. Requires 8+ years in computer architecture, systems, or networking; strong Kubernetes expertise and upstream open-source collaboration expected. Located in United States. Base salary not specified.

Senior Full-stack Software Engineer role for a Hardware Infrastructure verification data and visualization platform at NVIDIA. Focuses on modernizing front-end applications, building microservices using Java stack, developing real-time data processing pipelines (Kafka Streams, Apache Flink, Spark Streaming), and collaborating with hardware engineers. Requires 5+ years experience with JavaScript/TypeScript, Java expertise, Kafka/event-driven architecture, Redis, and distributed systems knowledge. Full-time, US-based position emphasizing data infrastructure and hardware verification tooling rather than traditional web application development.