NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are continually innovating to deliver new and creative solutions to extraordinary problems in a wide range of sectors. To this purpose, we are now seeking a passionate Optical Packaging Test Engineer who is committed to making a difference in the world through their contributions. You will be responsible for testing optical packages for NVIDIA's products.
We are looking for a highly motivated Optical Package Test Engineer in the Advanced Technology Group (ATG). Do you have a strong background in computational methods for advanced manufacturing? Are you proficient in one of the underlying fields, such as data visualization, optical testing, or optical systems? If yes, then we’d love to hear from you! The job requires working on complex problems and products; you will be providing solutions that are highly creative, and directly contribute to product differentiation.
What you’ll be doing:
Responsible for benchtop testing using advanced optical test equipment.
Updating testing methodologies and optical equipment.
Creating new documentation to standardize workflow and procedures.
Data collection and visualization of optical parameters in test chips.
Collaborate with multi-functional teams within NVIDIA and define optical package testing requirements.
What we need to see:
Bachelors Degree in Materials Science, Data Science, Physics or related fields or equivalent experience with 2+ years of work experience
Experience with optical test equipment like lasers, OPM, BRM, and optical switches.
Knowledge in optical connector standards.
Basic photonic device knowledge.
Strong problem-solving skills.
Ways to stand out from the crowd:
Experience with data visualization using JMP.
Basic knowledge of Python.
Fiber industry experience.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you
#LI-Hybrid
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's degree in Materials Science, Data Science, Physics, or a related field, or equivalent experience
- 2+ years of work experience
- Experience with optical test equipment, including lasers, OPM, BRM, and optical switches
- Knowledge of optical connector standards
- Basic photonic device knowledge
- Strong problem-solving skills
- Experience with data visualization using JMP
- Basic knowledge of Python
- Fiber industry experience
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.
-
Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
-
Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
-
Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
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.”
