NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is looking for best-in-class Physical Design Engineers with expertise in Synthesis to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in crafting our groundbreaking and innovating chips, enjoy working in meaningful, growing and professional environment where you make a significant impact in a technology-focused company.
What you'll be doing:
Own RTL-to-gate synthesis and QoR convergence for complex digital blocks and hierarchical partitions.
Optimize synthesis strategies, constraints, and flows to meet performance, power, and area targets.
Analyze design bottlenecks and QoR regressions, collaborating with RTL, timing, architecture, and physical design teams to resolve them.
Support physical implementation from floorplanning and power planning through routing and timing closure.
Automate design setup, execution, reporting, and issue triage while improving project-wide methodologies and best known methods.
What we need to see:
BSEE, MSEE, or equivalent experience.
2+ years of experience in synthesis and physical implementation on advanced process nodes.
Strong proficiency with Synopsys Fusion Compiler, Cadence Genus, or comparable synthesis tools.
Hands-on experience with synthesis constraints, timing analysis, QoR optimization, and the full place-and-route flow.
Strong analytical and debugging skills across RTL, synthesis, timing, and physical implementation.
Proficiency in Python, Perl, Tcl, and Make.
Strong communication and multi-functional collaboration skills.
We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- BSEE, MSEE, or equivalent experience.
- 2+ years of experience in synthesis and physical implementation on advanced process nodes.
- Strong proficiency with Synopsys Fusion Compiler, Cadence Genus, or comparable synthesis tools.
- Hands-on experience with synthesis constraints, timing analysis, QoR optimization, and the full place-and-route flow.
- Strong analytical and debugging skills across RTL, synthesis, timing, and physical implementation.
- Proficiency in Python, Perl, Tcl, and Make.
- Strong communication and multi-functional collaboration skills.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
