NVIDIA is the world leader in accelerated computing. Our innovations in GPU technology, AI, and data center solutions are transforming industries worldwide. Join our engineering group passionate about local product development in India to play a meaningful role in bringing powerful hardware products from building to mass production. The Local Product Engineering (LPE) group bridges the gap between hardware build, NPI phase and high-volume manufacturing. The position requires an understanding of hardware, firmware/software, mechanical integration and manufacturing. The candidate will supervise Product engineering activities in a contract manufacturing lines, working closely with groups across the networking organization: Hardware/Software/Firmware R&D, Architecture, Test Engineering, Quality & Reliability, and Operations groups. The candidate will take part in direct communications with NVIDIA internal and external groups. The position provides an opportunity to gain deep knowledge of NVIDIA networking systems and a system-level view of our solutions, along with working in dynamic and positive environment.
What You'll Be Doing:
Leading Cross-Organizational Task Forces: You will be responsible for managing and leading cross-functional teams to address quality events and failure modes. This involves coordinating efforts from various departments, such as hardware, software, and manufacturing, to collectively work towards identifying and resolving issues.
Root Cause Analysis and Test Planning: You will perform in-depth root cause analysis by meticulously analyzing failure modes Monitor and control the test yield for all stations.
Onsite engineering support: Provide onsite tier 1 support for tests validation, test infrastructures, tests setup and station troubleshooting.
Introduction and training of new tests to CM engineering team.
The working place base at factory at Jabil (CMs) Pune in India.
What We Need To See:
B.S. in Electrical /Electronic Engineering, or equivalent experience.
5+ years of technical experience in hardware design/system
Failure analysis/debugging/Architecture or Product Engineer.
Familiar with the manufacturing processes of electronic products.
Proficient with lab equipment and lab setups and troubleshooting skills.
A highly motivated teammate who always stays up to date with new technologies and FA methodologies.
Proficient in English is required.
Ways To Stand Out from The Crowd:
Experience as a test engineer or product engineer.
Experience in board design/system.
Familiar with ICT / JTAG, reliability test like Burn In, HASS and ATE functional tests.
Linux operating systems, and programming languages such as Perl/Python
Skills Required
- B.S. in Electrical or Electronic Engineering or equivalent experience
- 5+ years technical experience in hardware design or system engineering
- Experience in failure analysis, debugging, architecture, or as a product engineer
- Familiarity with manufacturing processes for electronic products
- Proficient with lab equipment, lab setups, and troubleshooting
- Proficient in English
- Experience as a test engineer or product engineer
- Experience in board design or system design
- Familiarity with ICT, JTAG, Burn-In, HASS, and ATE functional tests
- Familiarity with Linux and scripting (Perl/Python)
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.”
