Full-Time

Hardware Systems Design Engineer

Confirmed live in the last 24 hours

Groq

Groq

201-500 employees

AI inference hardware for cloud and on-premises

Hardware
AI & Machine Learning

Compensation Overview

$181.7k - $365.4kAnnually

Senior

San Jose, CA, USA

Hybrid position requires in-office presence.

Category
Hardware Engineering
Electronic Hardware Engineering
Hardware Validation & Testing
Required Skills
Verilog
Requirements
  • BS in Electrical Engineering or a related degree
  • 8+ years of proven experience
  • Design using schematic capture tools, design constraint tools and PCB layout viewers
  • Proficiency with high speed interfaces (Serdes, PCIe, DDR)
  • Experience designing power sub-sections (e.g. POLs, VRMs, etc.)
  • Experience in designing lower speed interfaces like SPI, I2C, CANbus, etc
  • Experience with CPLDs/FPGAs and Verilog
  • Competence using lab equipment such as volt meters, oscilloscopes, logic analyzers, power analyzers, etc.
  • Available to work on-site in Groq’s hardware engineering lab (San Jose) a few times per week, and sometimes full-time depending on the phase of a given project
  • Excel in a team-oriented, collaborative environment
  • Ability to optimally prioritize and complete tasks in a high-pressure environment
  • Highly self-motivated and driven; self-confident and self-starter
  • Desire to learn, create, and grow in a dynamic environment
  • Keen attention to detail
Responsibilities
  • Review and align with Product Requirement Documents (PRD)
  • Create board functional specifications and other design collateral
  • Design products based on GroqChip LPU (Language Processor Unit) [AI/ML processors]
  • Lead PCB layout and SI/PI analysis
  • Contribute to chassis design and multi-system implementations
  • Debug chip, board, and system level hardware and software issues
  • Design boards intended for ASIC bring-up and post-silicon validation testing
  • Hands-on debugging of hardware issues in a lab environment
  • Support product certification and GTM activities

Groq specializes in AI inference technology, providing the Groq LPU™, which is known for its high compute speed, quality, and energy efficiency. The Groq LPU™ is designed to handle AI processing tasks quickly and effectively, making it suitable for both cloud and on-premises applications. Unlike many competitors, Groq's products are designed, fabricated, and assembled in North America, which helps maintain high quality and performance standards. The company targets a variety of clients who need fast and efficient AI processing capabilities, generating revenue through direct sales of its advanced hardware and related systems. Groq's goal is to deliver scalable AI inference solutions that meet the demands of industries requiring rapid data processing.

Company Stage

Series D

Total Funding

$1.3B

Headquarters

Mountain View, California

Founded

2016

Growth & Insights
Headcount

6 month growth

35%

1 year growth

63%

2 year growth

35%
Simplify Jobs

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.

Help us improve and share your feedback! Did you find this helpful?