NVIDIA is searching for an experienced Equipment engineer. As an Equipment Engineer, you'll work in a fast-paced multi-disciplinary group, leading NVIDIA 's global Integrated Circuits final test and wafer sort NPI. This position requires collaborations with infrastructure support vendors, contract manufacturers, internal and external engineering, and production groups to ensure excellent standards of manufacturability, equipment functionality, yield improvement, and improve efficiency and equipment utilization. Equipment uptime is critical to maintaining mass production and urgent engineering activities.
What You'll Be Doing:
New equipment definition, installation, acceptance, and maintenance (multi-disciplinary - mechanical, electro-optical and software).
Improve existing equipment up time and MTBF.
Work with world leading vendors to develop highly challenging equipment solutions.
Define and implement maintenance and monitoring processes.
What we want to see:
Mechanical/Electrical Engineer or Practical Engineer.
3+ years of practical experience.
Technical knowledge and experience with ATE (Automated Test Equipment) – testers, handlers & probers – operation, troubleshooting
Experience in machine functional definition (Mechanics, Optics, Electro-optics and electrically).
Experience in optical/electro optical/lasers & fiber alignment/co-package optics test equipment for NPI and/or mass production
Experience working with OSATS (advantage), and mass-production manufacturing environments.
Creativity, motivation, excellent teammate, fast learning skills and independence.
Agility, the ability of changing priorities and tasks pending production needs.
Ways to stand out from the crowd:
Knowledge of optical components and modules.
Results-oriented, analytical, self-motivated, and high level of attention to details.
Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems.
Knowledge in SW programming (C++, Perl, Linux, Python LabVIEW).
Proven Understanding of ATE (IC testers, probers, handlers, system Level test and reliability equipment).
NVIDIA has some of the most forward-thinking people in the world working for us and, due to outstanding growth, our business development teams are rapidly growing. If you're creative and autonomous with a real passion for you work, we want to hear from you!
Skills Required
- Mechanical, electrical, or practical engineering background
- At least 3 years of practical engineering experience
- Technical knowledge and hands-on experience operating and troubleshooting ATE, including testers, handlers, and probers
- Experience defining machine functionality across mechanics, optics, electro-optics, and electrical systems
- Experience with optical, electro-optical, laser, fiber-alignment, or co-package-optics test equipment for NPI or mass production
- Experience working with OSATS
- Experience in mass-production manufacturing environments
- Knowledge of optical components and modules
- Software programming knowledge in C++, Perl, Linux, Python, or LabVIEW
- Understanding of ATE, including IC testers, probers, handlers, system-level test, and reliability equipment
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.”
