Are you ready to join an ambitious team at NVIDIA and help build the future of technology? We are seeking a Manufacturing Development Engineer (Automation) in Hsinchu, Taiwan. This is an outstanding opportunity to work in a world-class environment where innovation, collaboration, and diversity are central to our values. Join us and play a pivotal role in developing flawless automation solutions!
What you'll be doing:
Provide end-to-end manufacturing assembly process solutions, including DFX (design for manufacturing, design for assembly, design for 6-sigma, design for testing, etc.).
Identify, assess, and apply risk mitigation strategies, leading investigations of issues, identifying root causes of product failures, and driving corrective actions.
Review contract manufacturer (CM) readiness, develop assembly fixtures and jigs, and establish clear assembly and manufacturing specifications through a step-by-step validation process.
Gather feedback through DFx, yield issues, and repair center activities to improve workflow efficiency, analyze system assembly gaps, study cosmetic appearances, and identify improvement opportunities.
Review automation options, suggest approaches for reducing waste and cutting costs, recommend technological solutions, product design improvements, and workspace layout changes to ensure high quality and efficiency.
Manage the acquisition of specialized equipment, materials, and other components, ensuring they meet intended use, specifications, and quality standards.
Develop and implement automation solutions for our manufacturing processes, ensuring they meet the highest standards of quality and efficiency.
Collaborate with cross-functional teams to build and deploy automated systems that improve production capabilities.
What we need to see:
A bachelor's degree in mechanical or manufacturing engineering, or a related field, or equivalent experience.
5+ years of proven experience in developing and implementing automation solutions in a manufacturing environment.
Validated mechanical/thermal architecture mentality, expertise in GD&T, tolerance analysis, and 2D drawing, with a critical focus on manufacturing risk.
Good understanding of commonly used equipment in manufacturing, familiar with electrical or electro-mechanical components, and PCBA-related manufacturing processes.
Effective problem-solving skills, technical and quality critical, with the ability to collect, analyze, and interpret data proficiently in SPC, 6 sigma, quality control, CpK, and PPAP.
Knowledgeable in DFM, DFA, DFx, manufacturing cost breakdown, and accurately predicting production performance.
Proficiency in CAD software, with Creo preferred, excellent written and verbal communication skills, and proficiency in English, with flexibility to travel.
Ways to stand out from the crowd:
Ability to learn quickly and operate outside of comfort zone and familiarity with robotic assembly, machine vision, automated fastening, dispensing, and material handling technologies.
Experience in functional tolerancing, GD&T, SPC, system assembly/testing, and a solid grasp of NPI processes.
Relevant design experience in data center product design is highly desirable.
Experience reviewing and deploying automation assembly solutions in manufacturing environments.
Experience working with automation suppliers and contract manufacturers during automation validation and production ramp.
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.
Skills Required
- Bachelor's degree in mechanical or manufacturing engineering or related field, or equivalent experience
- 5+ years developing and implementing automation solutions in a manufacturing environment
- Expertise in GD&T, tolerance analysis, and 2D drawing with mechanical/thermal architecture mindset
- Familiarity with commonly used manufacturing equipment, electrical/electro-mechanical components, and PCBA processes
- Proficiency in SPC, Six Sigma, quality control, CpK, and PPAP for data collection and analysis
- Knowledge of DFM, DFA, DFx, manufacturing cost breakdown, and production performance prediction
- Proficiency in CAD software
- Creo familiarity
- Excellent written and verbal communication skills and proficiency in English
- Flexibility to travel
- Experience with robotic assembly, machine vision, automated fastening, dispensing, and material handling technologies
- Experience in functional tolerancing, system assembly/testing, and NPI processes
- Relevant design experience in data center product design
- Experience working with automation suppliers and contract manufacturers during validation and production ramp
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.”

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