Systems Quality and Reliability Lead
GroqSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SemiconductorIndustries
Requirements
- Master's degree or higher in electronics or related engineering fields (or equivalent experience)
- 8-10 years of proven experience in Failure Analysis or related fields
- Proficiency in basic electrical engineering and testing, transistor device physics, silicon device analysis, sophisticated CMOS manufacturing/processes, circuit analysis, and automated test equipment (ATE)
- Ability to understand and/or operate tools for silicon inspection, cross-section, delayering, material analysis (e.g., Scanning Electron Microscope, Focused Ion Beam, Nanoprobing)
- Strong written and verbal communication skills, with the ability to participate optimally in diverse teams
- Proficiency in sophisticated backside analysis techniques and use of innovative analytical instruments (preferred)
- Experience in analog circuit design, PLLs, and system-level testing/validation (preferred)
- Familiarity with Linux operating systems/shell scripting and programming languages such as Python/Perl and/or C/C++ (preferred)
Responsibilities
- Perform and coordinate Electrical and Physical Failure Analysis efforts to assist in product development, design debug, yield improvement, final test, and quality on various NVIDIA products
- Apply advanced EFA principles and operate EFA tools (e.g., Curve Tracer, Emission-based analytical tools, Laser Scanning Microscopy, 3D Xray, CSAM) for fault isolation and analysis
- Communicate EFA fault isolation findings effectively and provide timely assistance to PFA teams (in-house or foundry/assembly partners) to root cause problems
- Collaborate closely with Product Engineering and Test Engineering teams to verify and duplicate failure modes reported on ATE, SLT, and appropriate test setups
- Drive continuous improvement initiatives to improve production test program quality and efficiency
- Actively participate in multi-functional teams to efficiently debug product failures and implement optimal solutions
- Write and maintain scripts and tools for test engineering groups to improve overall efficiency and effectiveness
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the location for this Senior Failure Analysis Engineer role?
The position is based in Santa Clara, CA.
What compensation or benefits does NVIDIA offer for this role?
NVIDIA offers competitive salaries and a generous benefits package.
What are the required qualifications and skills for this position?
A Master's degree or higher in electronics or related engineering fields (or equivalent experience) and 8-10 years of proven experience in Failure Analysis or related fields are required. Proficiency in basic electrical engineering and testing, transistor device physics, silicon device analysis, sophisticated CMOS manufacturing/processes, circuit analysis, and automated test equipment (ATE) is also needed.
What is the company culture like at NVIDIA for this team?
The team is diverse and collaborative, working with thoughtful and talented people in a multi-functional environment focused on innovation and efficiency.
What experience will make me stand out as a candidate?
Proficiency in sophisticated backside analysis techniques, experience in analog circuit design, PLLs, system-level testing/validation, and familiarity with Linux, shell scripting, Python/Perl, or C/C++ will help you stand out.
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