NV

Senior Reliability Engineer

NVIDIA
Posted onFeb 8, 2026
LocationSanta Clara, California, United States (Hybrid)
Employment typeFull-time
Salary$168k – $264.5k Yearly

Being a leader in AI, NVIDIA has entered the Automotive graphics' segment with GPUs since 2006. Since then, we have increased our product offerings to include complete graphics support for customer navigation and instrument clusters. It is an exciting time for the auto industry, as the car is becoming a connected system, and graphics and computing power is redefining the automobile. NVIDIA is at the forefront, providing high-end to mid-level performance solutions for these meaningful changes in automotive industry, we are now looking for a Senior Reliability Engineer. The position is an individual contributor role, working with the cross-functioning teams. Below are the required key responsibilities of the position.

What you'll be doing:

  • As a Reliability Engineer at NVIDIA, you will be responsible for ensuring our products and systems operate flawlessly. Your key duties will include:

  • Developing and implementing reliability test plans and protocols

  • Collaborate with design, product, and test engineering teams to apply DFT methodologies to improve reliability screening specific to HTOL (Component level Hight Temp Op. Life Test).

  • Familiarity with DFR guidelines including reliability prediction, derating, and physics of failure modeling.

  • Develop and implement DFR (DFX) strategies early in the product lifecycle to ensure long-term field reliability, especially in critical datacenter/Robotics environments.

  • Conducting failure mode and effects analysis (FMEA) at product development stage

  • Collaborating with cross-functional teams to determine root causes of failures

  • Crafting and maintaining detailed documentation of reliability tests and results

  • Analyzing data to identify trends and areas for improvement

What we need to see:

  • Bachelor’s degree or equivalent experience in engineering: Preferably in Electrical, Computer Engineering or a related field.

  • At least 8+ years of experience in a reliability engineering role specific to component level reliability qualification.

  • Technical skills: Proficiency in statistical analysis software and reliability testing tools.

  • Problem-solving abilities: Outstanding analytical skills to effectively diagnose and resolve issues.

  • Strong communication skills: Ability to clearly articulate ideas and collaborate with diverse teams.

  • Proven experience in reliability engineering, preferably in the technology sector, JEDEC (e.g., JESD22, JESD47) and AEC-Q100 standards.

  • Ability to work collaboratively in a team-oriented environment

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most thoughtful and talented people in the world working for us. Due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 9, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

NVIDIA is the world leader in accelerated computing, pioneering the GPU and driving advances in AI, high-performance computing, gaming, autonomous vehicles, and robotics.

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