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.

No open positions at NVIDIA right now.

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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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