Full-Time

Hardware Systems Design Engineer

Confirmed live in the last 24 hours

Groq

Groq

201-500 employees

AI inference technology for scalable solutions

AI & Machine Learning

Compensation Overview

$181.7k - $365.4kAnnually

Senior, Expert

San Jose, CA, USA

Hybrid role requiring on-site presence in San Jose a few times per week, potentially full-time depending on project phases.

Category
Hardware Engineering
Hardware Validation & Testing
System Hardware Engineering
Required Skills
Verilog
FPGA
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. The company ensures that its products are designed, fabricated, and assembled in North America, which helps maintain high standards of quality and performance. Groq differentiates itself from competitors by focusing on scalable AI inference solutions that cater to a wide range of industries requiring efficient data processing. The company's goal is to deliver advanced AI inference hardware and systems that meet the growing demand for rapid and efficient AI processing capabilities.

Company Stage

Series D

Total Funding

$1.3B

Headquarters

Mountain View, California

Founded

2016

Growth & Insights
Headcount

6 month growth

28%

1 year growth

67%

2 year growth

55%
Simplify Jobs

Simplify's Take

What believers are saying

  • Groq secured $640M in Series D funding, boosting expansion and talent acquisition.
  • Partnership with Aramco Digital positions Groq as a leader in MENA AI infrastructure.
  • Integration with Touchcast's Cognitive Caching enhances Groq's hyper-speed inference capabilities.

What critics are saying

  • Increased competition from SambaNova and Gradio may draw customers away from Groq.
  • OpenAI's funding efforts could enhance their AI capabilities, threatening Groq's market share.
  • Rapid LPU deployment may strain Groq's resources, affecting product quality.

What makes Groq unique

  • Groq's LPU offers exceptional compute speed and energy efficiency for AI inference.
  • Groq emphasizes deterministic performance, ensuring predictable outcomes in AI computations.
  • Groq's products are designed and assembled in North America, ensuring high quality.

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