Jobs at NVIDIA
7,225 open positions
NVIDIA, founded in 1993, has become a leader in graphics processing units (GPUs) and AI compute platforms, powering everything from gaming rigs to autonomous vehicle systems.
The company hires across software engineering, hardware design, AI research, data science, product management, sales, and support roles. Candidates can expect rigorous technical interviews, a culture of innovation, and opportunities to work on cutting‑edge projects that influence global technology trends.
By viewing NVIDIA's listings on Job Transparency, you gain access to verified salary ranges, employee sentiment scores, and real‑world benefit comparisons, giving you a clear edge when negotiating offers and choosing roles that match your career goals.
Senior Manager, Manufacturing Operations
Company: NVIDIA
Location: Remote
Posted Dec 04, 2024
NVIDIA is recruiting a Manufacturing Operations Leader for its Vietnam operations. The role involves developing and implementing site strategies, leading day-to-day operations, ensuring compliance with regulations, and fostering strong relationships with partners. The ideal candidate should have a degree in Engineering or Business, 15+ years of experience, and excellent technical and leadership skills.
Senior Security Engineer, Purple Team - GPU Firmware
Company: NVIDIA
Location: Santa Clara, CA
Posted Dec 04, 2024
NVIDIA, a leader in computer graphics and AI, seeks a motivated engineer with 12+ years of system software engineering experience for its GPU Firmware team. The role involves designing secure firmware, threat analysis, vulnerability research, and collaboration with a virtual security team. The ideal candidate will have strong C-skills, experience in threat modeling, secure coding practices, and a degree in Electrical/Computer Engineering. NVIDIA offers a competitive salary range of $220,000 - $419,750, along with equity and benefits.
Senior Virtual GPU Solutions Support Engineer
Company: NVIDIA
Location: Durham, NC
Posted Dec 04, 2024
NVIDIA is hiring a Senior Virtual GPU Solutions Technical Support Engineer with expertise in Datacenter GPU Solutions, AI, and networking technologies. The role involves resolving complex customer issues, interacting with engineering and marketing teams, and developing support methodologies. Required qualifications include 3+ years of in-depth customer support experience, strong English skills, and a bachelor's degree in a relevant field. Preferred skills include knowledge of Datacenter GPU hardware, Enterprise hardware systems, and various VDI Solutions.
Senior Data Scientist - DGX Cloud
Company: NVIDIA
Location: Santa Clara, CA / Remote
Posted Dec 04, 2024
NVIDIA is seeking a Senior Data Scientist for the DGX Cloud team. The role involves turning data into actionable insights to optimize engineering processes and strategic direction. Key responsibilities include developing predictive models, applying machine learning techniques, and improving GPU productivity. The ideal candidate should have a strong background in computer science, extensive experience in software development, and proficiency in machine learning algorithms and deep learning models.
Principal Engineer, Distributed Systems - NIM Factory
Company: NVIDIA
Location: Santa Clara, CA
Posted Dec 04, 2024
NVIDIA is hiring a principal engineer to design and build a software factory for NVIDIA Inference Microservices (NIMs). The role involves architecting scalable services, collaborating with AI model teams, and delivering a reliable factory architecture. The ideal candidate should have advanced programming skills, experience with cloud services, and deep technical expertise in microservices, Kubernetes, and related technologies.
Senior Chip Design Verification Engineer
Company: NVIDIA
Location: Tel Aviv, Israel
Posted Dec 04, 2024
NVIDIA is seeking a Senior Chip Design Verification Engineer for the Switch Silicon group. The role involves working in a design and verification team to develop next-generation switch silicon chips, collaborating with Architecture, Micro-Architecture, and FW teams. The ideal candidate should have 4+ years of RTL design or verification experience, preferably in networking, and a B.Sc. in Electrical or Computer Engineering.
ASIC Verification Engineer
Company: NVIDIA
Location: Austin, TX
Posted Dec 04, 2024
NVIDIA is recruiting for an ASIC Verification Engineer to verify the design and implementation of their leading SoCs and GPUs. The role offers the chance to significantly impact a dynamic, technology-driven company, influencing product lines from consumer graphics to self-driving cars and AI. The ideal candidate will have a degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, along with 2+ years of experience in verification methodology. They should be proficient in SystemVerilog, UVM, and have strong debugging and problem-solving skills. NVIDIA is known as a top tech employer, offering competitive salaries, equity, and benefits.
Senior Account Manager, Digital Human and Speech NIMs - Gen AI
Company: NVIDIA
Location: Santa Clara, CA
Posted Dec 04, 2024
NVIDIA is seeking a senior sales leader to drive growth in its Enterprise business, focusing on Digital Human and Speech AI solutions. The role involves GTM leadership, building a robust sales pipeline, partner strategy, customer engagement, and influencing the product roadmap. The ideal candidate should have a strong background in technology sales, Conversational/Enterprise AI, and a wide client network. A Master's degree or MBA is desirable. The cash compensation range is $220,000 - $391,000, with benefits and equity.
Senior SWQA Test Development Engineer, LLM Benchmarking
Company: NVIDIA
Location: Shanghai, China
Posted Dec 04, 2024
NVIDIA is seeking a Senior Software QA Test Development Engineer. The role involves test planning, execution, and reporting, as well as automating testing and developing tools for the QA team. The ideal candidate should have a strong background in CS/EE/CE, proficiency in Unix/Linux and Python, and experience in test case development and automation. Familiarity with NVIDIA GPU hardware, deep learning frameworks, and parallel programming is a plus.
Senior Manager, DRIVEOS Quality
Company: NVIDIA
Location: Santa Clara, CA
Posted Dec 04, 2024
NVIDIA is seeking a strong leader with a Master's degree and over 10 years of industry experience, particularly in the automotive domain. The ideal candidate will have experience in system software, virtualization, trusted OS, graphics, compute, safety/security, and multimedia. They will work with software engineers to improve system testability, provide technical direction for verification plans, and collaborate with various teams to ensure best practices. NVIDIA is known for its innovative work in AI, HPC, and visualization, and offers competitive compensation and benefits.
Senior Software Engineer - Automated Parallel Programming
Company: NVIDIA
Location: Durham, NC / Remote
Posted Dec 04, 2024
The PyTorch Team at NVIDIA is seeking passionate parallel programmers to design and build tools for AI practitioners. The role involves working on NVIDIA's hardware with PyTorch, influencing the software stack, and collaborating with various engineering teams. Key responsibilities include crafting a code generation system, optimizing GPU performance, designing AI solutions, and advising on hardware design. Requirements include a degree in Computer Science or related field, parallel programming experience, C++ proficiency, and excellent communication skills. Standout qualifications include deep learning compiler expertise, knowledge of distributed parallelism, and contributions to deep learning systems.
Senior Product Manager, DGX Cloud - Storage
Company: NVIDIA
Location: Santa Clara, CA / Remote
Posted Dec 04, 2024
NVIDIA, a leading innovator in computer graphics, PC gaming, and accelerated computing, is seeking a Senior Product Manager for its DGX AI Cloud team. The role involves developing a product strategy, crafting a product roadmap, and collaborating with various teams to introduce new products and services. The ideal candidate should have extensive experience in storage product management, knowledge of AI/ML technologies, and excellent communication skills.