SLT Test Engineer, Groq
Software/Hardware
$142-191k
+ Equity
Office located in Mountain View, CA
AI semiconductor chip manufacturer
Be an early applicant
AI semiconductor chip manufacturer
201-500 employees
Be an early applicant
$142-191k
+ Equity
Office located in Mountain View, 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
- MS/PhD in Electrical Engineering, Computer Science, or Computer Engineering
- 10+ years experience in Systems Level Test, Systems validation, and/or bench testing
- Experience in day zero bring up of new silicon at the system level
- Experience in driving SLT testing in HVM
- Experience with testing and characterization of high power Ips like TPUs, CPUs, GPUs in mission mode
- Experience with testing and characterization of High Speed SerDes based IPs (PCIe, Ethernet SerDes etc.)
- Knowledge of network topology and experience in network connectivity (HW and SW)
- Proficient in C#, C/C++, PERL, Python, .NET framework
- Experience in Security provisioning and knowledge of Fuse programming implementation
- Humility - Egos are checked at the door
- Collaborative & Team Savvy - We make up the smartest person in the room, together
- Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously
- Curious & Innovative - Take a creative approach to projects, problems, and design
- Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking
What the job involves
- AI will change humanity forever, and we believe preservation of human agency and self determination is only possible if AI is made affordably and universally accessible
- Groq’s LPUs will power AI from an early stage, and you will get to leave your fingerprint on civilization
- Mission: to own the system level test required to drive continuous improvement of incoming HW and more specific HW screens, improving quality and reliability of GroqCloud
- Own design and validation of System Level Test from software perspective
- Write code to help communicate SLT handler to test controller and to peripherals like temperature control units
- Write test methods, scripts and code to create a test Flow encompassing all the key system level tests provided by the systems validation team
- Automate and integrate SLT tests to create a master Test flow for the SLT testing on the handler
- Develop custom tests on the system level to create the most effective screen tests for SLT
- Define HVM (High Volume Manufacturing) test requirements, collaborate closely with System architecture, chip design, and System validation teams to help create production ready SLT flows
- Collaborate with chip design and system validation teams to develop a test plan for System to Tester correlation for optimizing power and performance
- Drive SLT handler selection for a customized SLT solution
- Drive SLT handler enablement by working closely with multiple vendors
- Define and drive PCB designs for the SLT solution
- Define and drive SLT hardware solutions for sockets, Temperature control units etc
- Drive the selection of system test requirements for NPI, HVM, platform to platform correlation, and RMAs
- Work with chip test (ATE) and System Validation teams to decide how to improve the overall manufacturing test coverage
- Establish network connectivity by understanding the network topology
- Datalog manipulation to fit industry standards
- Provide production sustaining support at OSAT for DPPM reduction, yield analysis, RMA debug, and test time reduction
- Support Silicon Qual activities (HTOL/Burn In) from a system level
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
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
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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