Jobs / United States / Nvidia Corporation
PCB Design EDA and AI Engineer - New College Graduate 2027
Nvidia Corporation · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Nvidia Corporation paid sponsored hires in similar roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k. Most were filed at wage level IV (82%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
NVIDIA is at the forefront of the AI revolution, building the computing platforms that power the world’s most advanced AI systems. From GPUs and AI servers to high-speed networking infrastructure, we continue to push the boundaries of computing technology. As part of the PCB design team, you will work with industry-leading engineers and contribute to the automation implementation of hardware design for next-generation AI accelerated computing platforms. Through structured training, mentorship, and hands-on project experience, you will grow into a hardware EDA and AI design expert with a system-level perspective and help shape the future of computing architecture. What You’ll Be Doing: • Contribute to the implementation and optimization of automation tools and processes for the hardware design for NVIDIA’s latest products. • Participate in research and practical applications of AI in PCB design engineering. • Support EDA research and development for the latest PCB design and manufacturing technologies. • Communicate and collaborate closely with global EDA teams and hardware engineering teams on a daily basis. • Work closely with PCB design, system circuit design, mechanical design, component library design, signal integrity design, system validation, and manufacturing teams to solve complex engineering automation challenges. • Continuously optimize design methodologies and engineering workflows to improve product performance and design efficiency. What We Need to See: • Bachelor’s degree or above in Automation, Electrical and Electronic Engineering, Computer Engineering, or a related engineering field. • Familiarity with electronic circuits and PCB design. • Familiarity with Cadence or similar EDA design software. • Background with Python or EDA scripting development experience • Familiarity with modern software tool flows such as GitLab and CI/CD. • Basic understanding of AI Agent practices and related concepts. • Proficient daily English communication skills. • Strong logical analysis and engineering problem-solving abilities. • Honesty, resilience, and strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. • Self-motivated, passionate about technological innovation, and willing to continuously learn and explore new technologies. Ways to Stand Out from the Crowd: • Experience with PCB, electronic hardware, or system design projects through coursework, competitions, research, internships, or personal projects. • Excellent English communication skills. • Hands-on engineering experience with AI Agents. • Understanding of PCB manufacturing processes and design methodologies such as DFF, DFA, and DFT. • Background of CUDA programming and the latest NVIDIA GPU architecture features, such as dedicated features of the Hopper and Blackwell architectures. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.