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Curious which teams are hiring right now and what pay ranges match your experience?
This guide gives you a fast, clear snapshot so you can map your skills to major groups like hardware engineering, software and platform engineering, autonomous driving, robotics, and data science. You’ll get upfront salary ranges and a step-by-step path so you can prioritize roles that fit your goals.
You’ll also learn where to find the freshest listings, which filters to use, and how to get started with saved searches and alerts. Expect concise advice on tailoring your resume, linking projects or GitHub, and following NVIDIA’s “How We Hire” process.
If you need assistance during recruiting, the company offers reasonable accommodations; review the applicant privacy and privacy policy, and use the listed contact path for support.
Job openings at Nvidia: see salaries and how to apply
Get a current view of active teams, common roles, and where to track new listings.
What kinds of teams are hiring right now
Core engineering groups include hardware (GPUs and AI systems), software and platform (CUDA, cloud services), autonomous driving and robotics (perception, planning, simulation), and data science (RAPIDS and large-scale analytics).
Roles span IC and lead levels — for example, ASIC and board design, verification, platform engineers for toolchains and backend services, perception and SLAM engineers, plus data engineers and data scientists focused on analytics.
If you’re early in your career, look for university, new grad, and internship postings that rotate seasonally and are labelled on the careers site. Timing your application with the academic calendar helps.
Where to find the latest roles on the careers site
Use filters for keywords like “CUDA,” “RAPIDS,” or “DRIVE,” pick locations and experience level, then hit the Get Started entry to create a profile and upload your resume.
Save searches and set alerts for target titles and locations so you can move fast when a new position appears. Keep your profile and contact information updated so recruiters can reach you.
| Team | Common roles | What to prepare |
|---|---|---|
| Hardware | ASIC, board, verification | Design samples, datasheets |
| Software / Platform | CUDA, backend, SRE | Repo links, system design notes |
| Autonomous & Robotics | Perception, planning | Simulation projects, papers |
| Data Science | RAPIDS, analytics | Notebooks, model demos |
If you need assistance during your search, provide contact details as prompted. For reasonable accommodations, Human Resources can be reached at 408-486-1405. Read the Applicant Privacy Policy for full information about candidate data and opportunity protections.
Explore NVIDIA teams, open roles, and typical U.S. salary ranges
Here’s a quick guide to core groups, typical U.S. base pay ranges, and the tasks you’ll own. Use this to match your skills with the right team and plan where to look for current listings.
Hardware engineering careers: GPUs, AI platforms, and systems
Typical U.S. base: ~$140k–$240k. Work spans ASIC design, board validation, and systems integration. You’ll partner with cross-functional peers to ship high-performance products and meet thermal, power, and timing targets.
Software, AI, and platform engineering
Typical U.S. base: ~$150k–$260k. Roles cover CUDA runtimes, cloud services, developer tools, and reliability engineering. Expect performance tuning, API design, and large-scale service ownership.
Autonomous driving and robotics
Typical U.S. base: ~$150k–$250k. You’ll build perception, mapping, and planning stacks. Tasks often include sensor fusion, real-time pipelines, and simulation validation.
| Group | Base range (U.S.) | Typical tasks |
|---|---|---|
| Data Science & RAPIDS | $140k–$230k | GPU analytics, pipelines, model experiments |
| University / New Grad / Intern | Varies by role | Mentored projects, research, production contributions |
| Compensation context | Varies | Base, equity, and bonus depend on level & location |
Review each posting’s compensation disclosure and the Applicant Privacy Policy before you submit materials. If you need an accommodation during recruiting, contact Human Resources or provide your contact info on the careers site.
How to apply to NVIDIA roles today
Start your application process with a clear, step-by-step plan so you can move quickly when a role matches your skills.
Get started: search openings, set alerts, and choose your team
Create a careers profile, upload a tailored resume, and save searches for target titles and locations. Set alerts so you get notified the moment a posting appears for your chosen team and region.
Submit a standout application: resume, projects, and portfolio tips
Lead with measurable impact: list percentage gains, verification coverage, or processing time reductions. Link repos, demos, or papers and add a one-line context: problem, your role, tech, and outcome.
| Step | What to include | Why it matters |
|---|---|---|
| Create profile & alerts | Target titles, locations | Be first in recruiter feeds |
| Portfolio links | GitHub, demos, slides | Shows real work |
| Interview prep | System design, coding, tech stack | Matches “How We Hire” steps |
How we hire: what to expect in interviews and next steps
Expect a recruiter screen, technical interviews, and cross-functional rounds. Keep availability current and be ready to share slides or code samples when asked.
Need assistance or an accommodation due to disability?
If you require assistance or an accommodation due disability, call 408-486-1405 and provide contact information so HR can coordinate support. You can also provide contact through the careers portal when requesting assistance accommodation.
Applicant privacy
Before you submit, read the Applicant Privacy Policy to understand what data is collected and how it’s used. Accurate profile data speeds processing and preserves your opportunity in the process.
Conclusion
Wrap up your search by focusing on the core teams and clear steps that move your application forward.
Target hardware, software/platform, autonomous driving, and data science based on the U.S. base ranges listed earlier. Use the careers site to filter, save searches, and set alerts so you catch new roles fast.
Tailor your resume and portfolio with measurable outcomes and link demos or repos. Prepare for a structured interview path and review relevant tech like CUDA, RAPIDS, or DRIVE before technical rounds.
If you need support, request reasonable accommodations by calling 408-486-1405 or provide contact details so HR can assist. Finally, review the Applicant Privacy policy and confirm your profile is accurate before submission.
FAQ
What teams are hiring right now?
NVIDIA hires across many groups, including hardware engineering for GPUs and systems, software and AI platform teams, autonomous driving and robotics, data science and analytics, plus university relations and internship programs. Each group focuses on different products and stages of innovation, so you can match your skills to the right team.
Where can you find the latest roles on NVIDIA’s careers site?
Visit NVIDIA’s official careers portal and use filters for location, team, and keywords. You can set alerts for new postings and follow NVIDIA on LinkedIn for timely updates. Bookmark the careers page so you return quickly when openings that match your profile appear.
What are typical U.S. base salary ranges for hardware engineering roles?
Hardware engineering roles that work on GPUs, AI platforms, and systems commonly range from roughly 0,000 to 0,000 base, depending on role complexity, level, and location. Total compensation may include equity and performance bonuses.
What base ranges should you expect for software, AI, and platform engineering?
Software and platform engineering roles, including CUDA and cloud services, typically range from about 0,000 to 0,000 base in the U.S. Compensation varies with experience, job level, and the specific team’s focus.
What compensation ranges apply to autonomous driving and robotics roles?
Roles in autonomous driving and robotics generally fall around 0,000 to 0,000 base in the U.S., reflecting the specialized skills required for perception, control, and embedded systems work.
What about data science and RAPIDS—what pay can you expect?
Data science and analytics positions that work with RAPIDS and large-scale analytics typically range from approximately 0,000 to 0,000 base, depending on seniority and impact of the role.
How are university, new grad, and internship positions compensated?
Compensation for new grads and interns varies by program, location, and role. Stipends and entry-level salaries are competitive and include access to mentorship and impactful project work to accelerate your career.
How does NVIDIA structure total compensation?
Total pay normally includes base salary, potential annual bonus, and equity awards. Packages vary by role, level, and geographic location. Review the specific posting for a role to understand its full compensation context.
How do you get started searching and applying for roles?
Start by searching the careers portal, set alerts for teams or locations you prefer, and tailor your resume to highlight relevant projects and impact. Choose the team that aligns with your interests and skills before submitting.
What makes a standout application?
A clear resume, a concise portfolio of projects or publications, and quantified impact will help. Focus on relevant technical achievements, collaboration examples, and links to code or presentations when appropriate.
What should you expect during the hiring process?
The process typically includes an initial screen, technical interviews, and behavioral or team interviews. You may be asked to complete coding exercises, design problems, or system-level questions depending on the role.
Need assistance or an accommodation due to disability—how can you get help?
If you require assistance or an accommodation due to disability, call 408-486-1405. You can provide your contact information when you call so the recruiting team can follow up and support your needs through the process.
How is my applicant information handled—where’s the privacy policy?
Review NVIDIA’s Applicant Privacy Policy on the careers site to learn how they collect, use, and retain application data. The policy explains rights, data sharing, and contact points for questions about your privacy.
Who can you contact for more information about roles or accommodations?
For role-specific questions or accommodation assistance, call 408-486-1405 and provide your contact details. The recruiting team can guide you on applications, interview logistics, and privacy concerns.
Are there tips for life at NVIDIA and team culture?
NVIDIA emphasizes collaboration, continuous learning, and impact-driven work. Look for team pages and employee testimonials on the careers site to learn about day-to-day life and culture before you apply.
