NVIDIA
Technology
SeniorSystemReliabilityEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior System Reliability Engineer at NVIDIA. Skills: System Reliability Engineering, Hardware reliability, Failure analysis, Root cause analysis. Represent Product Reliability Engineering. Develop reliability test plans”
What You'll Achieve.
Meet product requirements
Industry & Context.
Failure analysis; Root cause analysis
What They're Looking For.
Must Have
Bachelor’s or Master’s degree, 8+ years of experience, Hardware reliability experience, Hardware engineering experience, Datacenter industries experience, Systems industries experience, Computer industries experience, Theoretical reliability concepts experience, Practical reliability concepts experience, High-tech electronic enterprise products experience, High-tech electronic consumer products experience, Understanding of statistical concepts, Understanding of product reliability, Understanding of life analysis, Good verbal skills, Good writing skills, Ability to communicate at high level, Good project management skills, Ability to balance multiple projects
What You'll Do.
Represent Product Reliability Engineering
Develop reliability test plans
Execute reliability test plans
Collaborate for implementation
Define product reliability tests
Lead reliability testing
Lead failure analysis
Lead root cause analysis
Drive corrective actions
Establish product reliability standards
Improve product reliability standards
Establish product reliability metrics
Improve product reliability metrics
Establish product reliability methodologies
Improve product reliability methodologies
Participate in design reviews
Assess reliability budget
Collaborate with engineering teams
Collaborate with suppliers
Collaborate with partners
Achieve reliability targets
Provide reliability predictions
Drive product reliability
How You'll Work.
Team & Collaboration
Development teams; Peer reliability groups; Engineering teams; Suppliers; Partners
Communication Scope
Verbal skills; Writing skills; High level communication
Process & Methodology
Project management, Balance multiple projects
Full Job Description
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the most thoughtful people in the world. Join us at the forefront of technological advancement. GPU Servers are one of the fastest-growing segments for NVIDIA and the Artificial Intelligence industry. As the computational power increases with every GPU generation, developing efficient and reliable systems is an imperative. We are looking for a System Reliability Engineer to join NVIDIA's existing Reliability Engineering team, involved in NVIDIA's diverse system product range specifically Graphics and High-Performance Computing printed circuit boards and Data Center Servers. **What you 'll be doing:** * Represent Product Reliability Engineering in development teams. * Develop and execute reliability test plans for product qualification. Collaborate with peer reliability groups for successful implementation. * Define product reliability tests for products ranging from embedded, automotive, graphics cards to server, rack, and cluster products. * Lead reliability testing, failure analysis, and root cause investigations; drive corrective actions to improve design and manufacturing quality. * Establish and continuously improve product reliability standards, metrics, and methodologies. * Participate in product and engineering design reviews, assess the reliability budget and influence changes that enhance product reliability. * Collaborate cross-functionally with engineering teams, suppliers, and partners to achieve reliability targets using Design for Reliability (DfR) methods including FMEA and DoE approaches. * Provide r
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