Senior Reliability Methodology Development Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Robotics, DatacenterIndustries

Requirements

Bachelor’s or higher degree in Electrical Engineering, Computer Engineering, or equivalent experience (MS or PhD in EE preferable)
5+ years of experience in Engineering or a related field
Proven experience in reliability engineering, preferably in the technology sector
Familiarity with JEDEC standards (e.g., JESD22, JESD47) and AEC-Q100 standards
Strong analytical and problem-solving skills
Excellent written and verbal communication abilities
Experience with reliability testing tools and methodologies
Ability to work collaboratively in a team-oriented environment
A proactive approach to identifying and addressing potential issues

Responsibilities

Collaborate with design, product, and test engineering teams to apply DFT methodologies to improve reliability screening specific to HTOL (Component level High Temp Op. Life Test)
Familiarity with DFR best practices including reliability prediction, derating, and physics of failure modeling
Develop and implement reliability test plans and protocols
Develop and implement DFR (DFX) strategies early in the product lifecycle to ensure long-term field reliability, especially in critical datacenter/Robotics environments
Conduct failure mode and effects analysis (FMEA) at product development stage
Collaborate with cross-functional teams to determine root causes of failures
Craft and maintain detailed documentation of reliability tests and results
Analyze data to identify trends and areas for improvement
Ensure compliance with industry standards
Provide technical support and mentorship to other departments

Skills

DFT

HTOL

DFR

FMEA

JEDEC JESD22

JEDEC JESD47

AEC-Q100

Reliability Prediction

Derating

Physics of Failure Modeling

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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