Staff Hardware Systems Infrastructure Engineer, Groq

$220-335k

+ Equity

Docker

Kubernetes

Python

Haskell

Grafana

Bazel

Senior and Expert level

Remote in US

AI semiconductor chip manufacturer

Be an early applicant

AI semiconductor chip manufacturer

201-500 employees

B2BArtificial IntelligenceManufacturingMachine Learning

Be an early applicant

$220-335k

+ Equity

Docker

Kubernetes

Python

Haskell

Grafana

Bazel

Senior and Expert level

Remote in US

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

Bachelor/Master degree in Computer/Electrical Engineering or Computer Science
At least 7 years of professional experience in hardware or software development. Previous experience in ASIC design, verification, or CAD would be an asset
Experience coding in Python, tcl, and make
Working knowledge of standardized build systems (Bazel/Ninja), CI/CD pipelines, job scheduling tools (e.g. slurm/lsf) and container frameworks (e.g. Kubernetes/docker) would be an asset
Experience with database development and analytics and reporting frameworks (e.g. Grafana)
Nix/Haskell knowledge would be an asset
Strong team player with excellent verbal and written communication skills

What the job involves

The Hardware Infrastructure team in Groq is responsible for architecting and supporting a world class pre- and post-silicon ASIC development and verification environments that optimizes the productivity of our hardware and software engineering teams
Work closely with our systems engineering team to bring up and deploy new hardware product platforms including integrating those new platforms into established build, delivery, and verification frameworks
Automate and integrate flows into Groq’s overall infrastructure (including package management, CI/CD, analytics, dashboards) to streamline our development cycle
Collaborate with software teams to work towards an integrated hardware/software development flow
Collaborate with software and hardware teams to create system-level tests (SLTs) to validate new hardware platforms

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

-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.

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