SOC Design Engineer

Posted 10 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior SOC Design Engineer will develop methodologies, integrate SOCs, ensure design quality, and collaborate on chip design processes.
Summary Generated by Built In

We are looking for a Senior SOC Design Engineer. The complexity of the chips we build has increased manifold over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand. The NVIDIA System-On-Chip (SOC) group is looking for a star candidate with an interest in RTL integration and chip level front-end design, including padring, pinmuxing, SOC Assembly process, and fuse / floor-sweep design. You must have a real passion for methodologies and automation solutions that enable SOC creation in the most optimized way.

In this position, you will get the chance to build complex Tegra and GPU chips, work closely with chip management to set ASIC execution timelines & goals while interfacing directly with System Architecture, unit-level ASIC, Physical Design, CAD, Package Design, DFT and other teams. Additionally, you will be involved in defining and creating methodologies that create more efficient and flexible SOCs in future.

What you'll be doing:

  • Define and develop system-level methodologies, tools, and IPs to build SOCs in an efficient and scalable manner.

  • Identify pain points and inefficiencies in the front-end chip implementation process and propose ideas to solve them.

  • Responsible for front-end design quality checks, reviews and driving those with cross-functional teams.

What we need to see:

  • B.Tech or M.Tech or equivalent experience in Electronics or Computer Engineering.

  • 2+ years of industry experience in chip design, specializing in SOC integration and design automation. Padring and fuse / floorsweep design experience is a plus.

  • Excellent analytical and problem-solving skills.

  • Experience in RTL design (Verilog), System-On-Chip design/implementation flow, and design automation.

  • Strong coding skills in Perl, Python, or other industry-standard scripting languages.

  • Exposure to various Chip Design Functions to be able to collaborate and solve complex cross functional problems.

  • Excellent 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 s a plus.

  • Experience in RTL Build and Design Automation is a plus.

#LI-Hybrid

Skills Required

  • B.Tech or M.Tech in Electronics or Computer Engineering
  • 2+ years in chip design with SOC integration experience
  • Experience in RTL design (Verilog)
  • Coding skills in Perl, Python, or similar scripting languages

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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