Engineering Manager, Groq

Reliability and Maintainability Analysis / Failure Analysis

$168.2-294.4k

+ Equity

Python

Linux

C++

Perl

Unix

Senior level

San Francisco Bay Area

Office located in San Jose, CA

AI semiconductor chip manufacturer

Be an early applicant

AI semiconductor chip manufacturer

201-500 employees

B2BArtificial IntelligenceManufacturingMachine Learning

Be an early applicant

$168.2-294.4k

+ Equity

Python

Linux

C++

Perl

Unix

Senior level

San Francisco Bay Area

Office located in San Jose, CA

201-500 employees

B2BArtificial IntelligenceManufacturingMachine Learning

Company mission

To increase developer velocity in machine learning by leading the way with simple, fast, innovative solutions.

Job

Company

Role

Who you are

BS/MS in Electrical Engineering or a related degree
5+ years of hands-on test engineering experience
Proven hands-on management and leadership experience
Competence using lab equipment such as oscilloscopes, logic analyzers, power analyzers, etc
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, CANbus, 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 test, FA debug, and root-cause analysis
Conduct and lead debug and root-cause analysis of field RMAs. Collaborate with Product Engineers, Hardware Engineers, and Test Engineers as required
Scale Root Cause Failure Analysis capabilities within your organization. Build and lead a highly competent and capable team
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

Top investors

Few candidates hear
back within 2 weeks

-19% employee growth in 12 months

Glassdoor (2.7)

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

Articles

Chip Startup Groq Backs Saudi AI Ambitions With Aramco Deal

AI chip start-up Groq’s value rises to $2.8bn as it takes on Nvidia

Can Groq Really Take On Nvidia?

AI chip start-up Groq raises $640m at $2.8bn valuation

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.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 6 more jobs at Groq