Systems Quality and Reliability Lead, Groq
Office located in San Jose, CA
AI semiconductor chip manufacturer
Job no longer available
AI semiconductor chip manufacturer
201-500 employees
Job no longer available
Office located in San Jose, CA
201-500 employees
Company mission
To increase developer velocity in machine learning by leading the way with simple, fast, innovative solutions.
Role
Who you are
- BS/MS in Electrical Engineering, Physics or a related degree
- 7+ years of hands-on systems test and/or validation engineering experience
- Proven hands-on management and leadership experience
- Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers, etc
- Deeply cognizant of the differences between System test vs ATE test
- Experience with enabling reliability tests such as HTOL and quality tests such as Burn In
- Ideal candidate will have working knowledge of Failure analysis techniques and tools such as FIB, SEM, TDR, VNA, and CSAM
- Ideal candidate will also have working knowledge of Fault Isolation techniques such as OBIRCH, DLS/LADA, LVP and LVI
- Proficiency with high speed interfaces (Serdes, PCIe, DDR)
- Experience testing power sub-sections (e.g. POLs, VRMs, etc.)
- Familiarity with lower speed interfaces like SPI, I2C, CAN bus, etc
- Proficiency in Python, Perl, C++, or other languages on UNIX/Linux
- Experience in Failure Analysis for one (or more) of the following:
- Microprocessors, complex SOC devices, AI Systems, Servers, Network Systems
- Excellent knowledge of PCB card and system-level test and debug
- Able to manage factory floor partners (CM’s) for RMA / FA activities
What the job involves
- Mission: You will own, build, and manage the RMA and FA debug and root-cause analysis for existing and new Groq AI / ML products. You will conduct tests, FA debug, and root-cause analysis
- Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Systems Engineers, Hardware Engineers, Software Engineers and Operations Engineers as required
- Scale Root Cause Failure Analysis capabilities within your organization
- Create Failure Analysis result reports that align with standard 8D or similar processes
- Develop and optimize RMA testing strategy to improve timeliness and effectiveness of characterization process
- Analyze RMA, Failure Analysis, and Repair data. Identify trends and raise quality alerts when necessary. Drive resolution, containment, and mitigation plans for such quality alerts
- Oversee hardware quality performance, monitoring field quality data and associated metrics including RMA Rates, MTBF, and Reliability Ratio
- Manage operational performance of Failure Analysis at contract manufacturer(s), ensuring partner(s) achieve key performance indicators, including FA cycle times, fault duplication rates, and fault isolation rates
- Drive learning’s from RMA / FA back into Manufacturing, Engineering, and Support teams
- Oversee the set-up of new products into Failure Analysis operations
Our take
Groq is an exciting semiconductor startup focused on creating advanced chips designed specifically for AI applications, particularly for AI inference, where models use trained data to deliver fast responses.
Groq aims to challenge Nvidia's dominance by focusing on speed and efficiency for AI deployment. While Nvidia's GPUs handle both training and running AI models, Groq's LPUs are optimized for inference tasks. With a recent $640M funding round, Groq plans to scale up and deploy over 100,000 LPUs by 2025.
To achieve this, the company has partnered with companies like Meta and Samsung, as well as sovereign entities like Saudi Aramco, showcasing the company's growth and potential. With its exciting technology, Groq is well-positioned to play a significant role in the AI chip market in the coming years.
Steph
Company Specialist at Welcome to the Jungle
Insights
-19% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2024
$640m
SERIES D
Jul 2024
$300m
SERIES D
Total funding: $1.3bn
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Jonathan Ross
(Founder & CEO)Majored in Mathematics and Computer Science at NYU. Joined Google as a Software Engineer in 2011, and was promoted to Hardware Engineer in 2013. Co-founded Google's Tensor Processing Unit. Was also a Rapid Evaluator at Google X, and then founded Groq in 2016, acting as its CTO before becoming the CEO in 2018.
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