Full-Time

Mechanical Product Engineer

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

No salary listed

Pune, Maharashtra, India

In Person

On-site at Jabil Pune site five days a week.

Category
Software Engineering (1)
Required Skills
CAD
Agile
PTC Creo
Data Analysis
SolidWorks

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Requirements
  • B.S in Mechanical Engineering or equivalent
  • 5+ years of experience working as a mechanical engineer in a production/manufacturing environment
  • Hands-on experience with fixture and jig design for electronics manufacturing or test
  • Strong ability to read, interpret, and review mechanical drawings and assembly drawings
  • Proficiency in 3D CAD tools (Creo Parametric / SolidWorks / similar)
  • Knowledge of maintenance and calibration processes in high-volume manufacturing
  • Experience working alongside contract manufacturers or electronics manufacturing services providers
  • Strong analytical skills — data-driven limit analysis and evaluation of potential hazards
  • Excellent communication skills in English (written and verbal)
  • Must be onsite at Jabil Pune CM Site five days a week
Responsibilities
  • Fixture and Jig Support — Maintenance, and continuous improvement of production testing setups, jigs, mechanical enclosures, and assembly tooling. Ensure compatibility, standardization, and seamless integration of jigs across multiple product lines and CM sites.
  • Maintenance and Calibration Governance — Own and enforce maintenance/calibration processes across all products and contract manufacturing locations. Author process documentation. Lead quarterly maintenance audits at CM facilities. Drive calibration frequency reduction initiatives.
  • Equipment Limit Management — Perform data-driven analysis of test equipment limits (mating cycles, cable wear). Recommend and approve limit extensions based on engineering data and risk assessment.
  • NPI Mechanical Support — Escort new products through mechanical readiness achievements — from prototype through V&V station approval to large-scale manufacturing. Support station duplication and mechanical training for CM technicians.
  • Cross-Site CM Coordination — Provide hands-on technical support to global CMs (Flex Israel, Jabil India, Foxconn Vietnam). Resolve mechanical gaps, fixture issues, and production blockers in real-time.
  • Quality Audits & Compliance — Conduct structured quality audits at manufacturing sites focused on mechanical processes, fixture condition, and maintenance compliance. Drive corrective actions.
  • Participate in KO, PDR, CDR sessions passionate about hardware build, contributing insights from production and manufacturing perspectives. Identify potential mechanical issues early in the design cycle.
  • ECO Management — Review and process Engineering Change Orders related to fixtures, mechanical assemblies, and production tooling. Ensure documentation and version control via Agile/PDP.
Desired Qualifications
  • Experience in the semiconductor or data center hardware industry
  • Familiarity with Agile Product Lifecycle Management / Product Data Management systems for ECO and BOM management
  • Background in Validation and Verification environments
  • Experience conducting supplier/manufacturing audits
  • Knowledge of thermal management and thermal pad/Thermal Interface Material applications

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

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Simplify Jobs

Simplify's Take

What believers are saying

  • Rubin delivers 5x faster inference and 3.5x faster training than Blackwell starting H2 2026.
  • Major hyperscalers Microsoft, AWS, Google Cloud, and CoreWe confirmed Vera Rubin implementation ahead of Q3 2026.
  • Rubin Ultra targets 15 ExaFLOPS FP4 inference with 1.5 PB/s NVLink bandwidth per rack in 2027.

What critics are saying

  • HBM4 scarcity from SK Hynix and Micron forces Rubin production cut to 1.5M units in 2026.
  • Kyber NVL144 rack delayed to 2028 due to TSMC 78-layer PCB yield failure, breaking annual cadence.
  • Rubin Ultra cuts HBM4E stacks to 12-Hi, delivering only 2.66x instead of 4x performance gain.

What makes NVIDIA unique

  • Vera Rubin is a six-chip extreme codesigned AI supercomputer platform, not just a GPU.
  • NVIDIA shifted to annual architecture cadence with Rubin, Ultra, and Feynman releases through 2028.
  • Vera CPU with 88 ARM cores enables per-GPU efficiency and 1/10 Blackwell operational costs.

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Benefits

Company Equity

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Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-3%
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