We are looking for an experienced, bright, focused, analytical, and motivated manufacturing/Optics engineer to join our Optical Manufacturing Engineering team. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As a NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team and see how you can make a lasting impact on the world.
The work will take place at one of our supplier sites in Taichung and will require working on-site 5 days a week.
What you'll be doing:
Own the new products, Optics infrastructure installation, and qualification.
Own the Optics equipment availability and efficiency in mass production.
Train the supplier engineers and technicians to operate and maintain optics infrastructure.
Manage the availability and usage of infrastructure spare parts and consumables.
Standardize and improve machine maintenance and troubleshooting procedures.
Lead NPI to mass production transition.
Leading root cause analysis and corrective action on production issues.
Identifying and fixing manufacturing problems.
Collaborating with cross-functional teams to develop manufacturing strategies for optical products.
Developing and maintaining documentation, including manufacturing instructions and standard operating procedures.
What we need to see:
Fluent in English and Mandarin.
B.Sc. in Industrial Engineering/Manufacturing Engineering/Mechanical Engineering/Optics Engineering, or equivalent experience.
5+ years’ experience in an engineering and/or manufacturing environment and/or equipment management industry.
Experience with Optics assembly/test.
Knowledge and experience in the Semiconductor industry.
Excellent skills in Excel, PowerPoint, and statistics tools.
Performs well in an intensive and dynamic environment.
Ways to stand out from the crowd:
Familiarity with optics assembly, especially in Active Alignment processes.
Strong communication skills with fluent English and Mandarin.
Self-motivated and able to work effectively across different functional teams and subcontractors
Familiarity with Lean culture/tools/methodologies.
Experience with programming and Power BI.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.
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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.”
