We are currently seeking an expert SOC Design and Integration Engineer with strong design fundamentals to work in Switch Silicon group. You'll join a group of hardworking engineers to craft and implement the next generation innovative Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing best high-speed communication devices, delivering the highest throughput and lowest latency!
The Networking Chip Design team in India is a new team which is growing at a fast pace.
What you'll be doing:
You are encouraged to understand all features of a given project and define project milestones based on internal roadmaps, assign them and track them through agile framework
Define and develop system-level methodologies, tools, and IPs to build SOCs in an efficient and scalable manner.
Work on SOC Assembly and drive cross-functional teams towards SOC milestone execution.
Be responsible for integrating all the pieces for a given defined project milestone and deliver the model to relevant teams for further verification at cluster/sub-system/SOC/emulation levels.
Have good grasp of Perl, Python, or other industry-standard scripting languages.
What we need to see:
BS (or equivalent experience) / MS with 4+ years of practical semiconductor design and architecture experience building complex SoC’s.
Must have firsthand experience & solid understanding of all phases of SOC development in multiple ASIC projects including ASIC architecture, Micro-Architecture, RTL design, verification, timing closure & Physical design.
Exposure to design and verification tools (Verilog/SV or equivalent, Cadence or equivalent simulation tools, debug tools like Indago, GDB etc.).
C/C++ programming or python or any other industry-standard scripting language experience desirable.
Experience working with software teams to tightly define the HW/SW interface including control/status registers, interrupt and error handling.
Hands on experience in successful tape outs of multiple complex, high-volume SoCs in advanced process nodes.
Exposure to various Chip Design Functions to be able to collaborate and solve complex cross functional problems.
Excellent verbal and written communication skills to interact with cross functional teams to build consensus.
Good teamwork spirit and collaboration skills with team members.
Experience in synthesis, physical design and DFT is a plus.
Background in RTL Build and Design Automation is a plus.
Ways to stand out from the crowd:
Chip lead type of technical leadership experience on delivering complex SOCs for enterprise and/or HPC applications.
Experience in RTL coding and debug, as well as performance/power/area analysis and trade-offs
Experience working closely with physical design teams to develop highly optimized ASICs with excellent power, performance and area.
Strong coding skills in Perl, Python, or other industry-standard scripting languages.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
Skills Required
- Bachelor’s degree or equivalent experience, or master’s degree
- 4+ years of practical semiconductor design and architecture experience building complex SoCs
- Experience across ASIC architecture, microarchitecture, RTL design, verification, timing closure, and physical design
- Experience with Verilog/SystemVerilog or equivalent design and verification tools
- Experience with Cadence or equivalent simulation tools and debug tools such as Indago or GDB
- Experience with Perl, Python, C/C++, or another industry-standard programming or scripting language
- Experience defining HW/SW interfaces, including control/status registers, interrupts, and error handling
- Successful tape-outs of multiple complex, high-volume SoCs in advanced process nodes
- Ability to collaborate across chip design functions and communicate effectively
- Experience in synthesis, physical design, and DFT
- Experience with RTL build and design automation
- Technical leadership delivering complex SoCs for enterprise or HPC applications
- RTL coding and debug, including performance, power, and area analysis
- Experience optimizing ASICs with physical design teams
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.”
