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 Deep Learning Scientist, Mapping and Localization - Autonomous Vehicles

Company: NVIDIA

Location: Redmond

Posted Aug 07, 2022

NVIDIA is seeking a Senior Deep Learning Scientist to work on Autonomous Vehicles, mapping, and localization. The company is committed to realizing self-driving cars and offers competitive salaries and benefits.

Senior Computer Vision Scientist, Mapping and Localization - Autonomous Vehicles

Company: NVIDIA

Location: Redmond

Posted Aug 12, 2022

NVIDIA is seeking a Senior Computer Vision Scientist to work on Autonomous Vehicles, mapping, and localization. The company is committed to realizing self-driving cars and offers competitive salaries and benefits.

Software Development Engineer

Company: NVIDIA

Location: Redmond

Posted Aug 26, 2022

NVIDIA is looking for Software Development Engineers to join their Networking Drivers engineering team, developing high-speed communication devices. The job involves designing and developing drivers for next generation network products, collaborating with leading Network companies, and providing assistance to customers.

🔥 NVIDIA - AI System Engineer 🎓

Company: 🔥 NVIDIA

Location: Santa Clara, CARedmond, WA

Posted Jan 01, 1970

Manager, Deep Learning, Mapping and Localization - Autonomous Vehicles

Company: NVIDIA

Location: Redmond

Posted Aug 12, 2022

NVIDIA is seeking a Deep Learning Lead for their Autonomous Vehicles team to work on Mapping and Localization. The company is committed to realizing self-driving cars and is looking for passionate engineers to join their team.

Senior Engineer, AV Software - Slow Speed Maneuvers

Company: NVIDIA

Location: Redmond

Posted Aug 10, 2022

The job posting is looking for an experienced engineer to join the Planning and Control team to design, develop, and productize key features for an autonomous driving platform. The role requires strong knowledge of C/C++, scripting languages, and Agile/Scrum software development environment.

Frequently Asked Questions

What is it like to work at NVIDIA?
Employees report a collaborative environment that values experimentation, with many teams working cross‑functionally on GPU architecture, AI frameworks, and cloud services. NVIDIA offers competitive compensation, stock options, extensive learning resources, and a flexible work‑from‑home policy for eligible roles. The company also emphasizes diversity and inclusion through employee resource groups and community outreach programs.
What types of positions are available at NVIDIA?
NVIDIA employs a wide spectrum of roles: software engineers (e.g., driver development, AI model deployment), hardware engineers (chip design, testing), AI researchers (deep learning, reinforcement learning), data scientists (performance analytics, recommendation systems), product managers (GPU product lines, cloud offerings), sales and marketing specialists, and support staff for technical services and customer success.
How can I stand out as an NVIDIA applicant?
Demonstrate domain expertise in graphics, AI, or systems engineering and provide concrete examples of projects that solved real‑world problems. Showcase a strong portfolio or open‑source contributions, prepare for both coding and system‑design interviews, and articulate how your curiosity aligns with NVIDIA’s mission to advance computing and AI. Highlight soft skills like teamwork, communication, and a willingness to learn across disciplines.

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