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
Semiconductor, TechnologyIndustries
Requirements
- Master's degree or higher in Electrical Engineering, Microelectronics, Physics, or a related field (or equivalent experience)
- Minimum of 12 years of experience in FA, preferably with hands-on experience in technique enablement and development of supporting HW for Fault-Isolation
- Knowledge of failure analysis techniques and methodologies
- Basic understanding of scan-chain based test (DFT) and some experience in operation of Automated Test Equipment (preferably on Advantest 93k and/or Teradyne UFP)
- Strong understanding of semiconductor device physics, IC design, and fabrication processes
- Experience with EDA (Electronic Design Automation) tools and layout editing software
- Strong problem-solving skills with the ability to diagnose and resolve complex circuit issues
Responsibilities
- Lead the enablement of XADA and existing NIR and Thermal OFI tools for future technology nodes based on experimentation with different test-chips and existing products
- Understand optical FI workflow and work with PFA team to guide sample-preparation development
- Develop workflows, train users, and collaborate with XADA tool vendors to drive SW & HW improvements and new feature development
- Work with NVIDIA internal HW designers and external vendors regarding development of suitable test- and cooling-HW
- Play a leading role in developing Chip-Debug and Fault-Isolation via Optical-Fault-Isolation and emerging techniques like scanning-focused-X-ray (XADA), including experimentation, guiding development of custom supporting HW, workflow development, and training of other users
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What education and experience are required for the Senior Failure Analysis Engineer role?
A Master's degree or higher in Electrical Engineering, Microelectronics, Physics, or a related field (or equivalent experience) is required, along with a minimum of 12 years of experience in FA, preferably with hands-on experience in technique enablement and development of supporting HW for Fault-Isolation.
What key technical skills are needed for this position?
Candidates need knowledge of failure analysis techniques, basic understanding of scan-chain based test (DFT) and experience with Automated Test Equipment like Advantest 93k or Teradyne UFP, strong understanding of semiconductor device physics, IC design, fabrication processes, and experience with EDA tools and layout editing software.
What is the salary or compensation for this role?
This information is not specified in the job description.
Is this position remote or does it require working in an office?
This information is not specified in the job description.
What qualities help candidates stand out for this role?
Excellent written and verbal communication skills, ability to collaborate with multi-functional teams, work effectively in team-oriented environments or independently, experience in advanced technology nodes like 2nm or below, and familiarity with scan chains 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
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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