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Full-Time

Devices Software Engineer

Embedded

Confirmed live in the last 24 hours

Groq

Groq

201-500 employees

Develops real-time AI inference hardware and software

Hardware
AI & Machine Learning

Compensation Overview

$208.8k - $365.4kAnnually

+ Equity + Benefits

Senior, Expert

Remote in USA

Category
Embedded Engineering
Software Engineering
Requirements
  • Minimum B.S. Degree in Computer Science or Electrical Engineering or Computer Engineering, or equivalent practical experience.
  • Over five years programming low level programming skills in C/C++.
  • 5 years experience developing embedded systems.
  • Proficiency with debugging large, complex systems and hardware/software interfaces.
  • Experience with communication protocols: I2C, CANBUS, SPI, USB.
Responsibilities
  • Design and develop software/firmware for a variety of architectures (x86, ARM, 8051, RiscV).
  • Build and deploy infrastructure to debug and validate functionality at the individual component and system level.
  • Design and implement messaging protocols that allow various components to communicate on a system and board level.
  • New hardware/product bring-up.

At Groq, the focus on real-time AI solutions through a Language Processing Unit™ and a deterministic Tensor Streaming architecture allows the company to excel in delivering ultra-low latency AI inference at scale. This specialized approach not only enhances technology performance but also simplifies processes for developers, accelerating production timelines and improving return on investment. Additionally, Groq's commitment to domestically-based supply chains supports higher sustainability and reliability in operations, making it an effective workplace for driving forward-thinking AI technology solutions.

Company Stage

Series C

Total Funding

$408.6M

Headquarters

Mountain View, California

Founded

2016

Growth & Insights
Headcount

6 month growth

24%

1 year growth

33%

2 year growth

6%
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Simplify's Take

What believers are saying

  • Groq's recent $300 million Series D funding round, led by BlackRock, values the company at $2.5 billion, indicating strong investor confidence and financial stability.
  • The launch of public demos on platforms like Hugging Face Spaces allows users to interact with Groq's models, potentially increasing user engagement and adoption.
  • Groq's rapid query response times, significantly faster than competitors like Nvidia, position it as a leader in AI inference speed.

What critics are saying

  • The competitive landscape with established players like Nvidia poses a significant challenge to Groq's market penetration.
  • High expectations from investors following substantial funding rounds could pressure Groq to deliver rapid and consistent innovation.

What makes Groq unique

  • Groq's open-source Llama AI models outperform proprietary models from tech giants like OpenAI and Google in specialized tasks, showcasing their superior tool use capabilities.
  • Groq's processors, known as LPUs, are claimed to be 10x faster and 1/10 the price of current market options, providing a significant cost-performance advantage.
  • The company's participation in the National AI Research Resource (NAIRR) Pilot highlights its commitment to responsible AI innovation and real-time AI inference.