We are looking for an experienced, bright, focused, analytical, and motivated manufacturing engineer to join our Optical manufacturing engineering team in Thailand at the Chonburi site, driving continuous improvement in our production lines around the globe. 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 NVIDIA engineer, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
Collaborating with cross-functional teams to develop manufacturing strategies for optical products.
Overseeing the production of optical components and ensuring adherence to industry standards and specifications.
Conducting research and feasibility studies to optimize manufacturing processes and improve product quality.
Developing and maintaining documentation, including manufacturing instructions and standard operating procedures.
Working alongside the Operations, R&D, and NPI teams on projects & mass production
Implementing quality control measures to ensure consistent and reliable output.
Analyzing data and performance metrics to identify areas for improvement and cost reduction.
Evaluating and selecting appropriate equipment and tools for manufacturing optical products.
Assisting in the testing and validation of new optical technologies and products.
Travel as needed for the business.
What we need to see:
B.Sc. in Industrial Engineering, Manufacturing Engineering, or equivalent experience
5+ years’ experience in an engineering and/or manufacturing environment in the Chip industry
Seasoned manufacturing engineer.
Knowledge and experience in the Semiconductor industry (Fabless company – benefit)
Excellent skills in Excel and PowerPoint
Performs well in an intensive and dynamic environment.
Fluent English.
Outstanding communication skills
Ability to physically attend the Chonburi site on a daily basis.
Ways to stand out from the crowd:
Vast knowledge of manufacturing processes
Team player with good interpersonal relations
Goals oriented – meet goals and due dates.
Skills Required
- Bachelor of Science degree in Industrial Engineering, Manufacturing Engineering, or equivalent experience
- 5 or more years of experience in an engineering or manufacturing environment within the chip industry
- Experience in semiconductor manufacturing; fabless company experience is beneficial
- Excellent skills in Microsoft Excel and PowerPoint
- Fluent English
- Outstanding communication skills
- Ability to work in an intensive and dynamic environment
- Ability to attend the Chonburi site daily
- Extensive knowledge of manufacturing processes
- Team-oriented interpersonal skills
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.”
