Full-Time

Package Design Engineering Lead

Posted on 8/13/2024

Groq

Groq

201-500 employees

AI inference technology for scalable solutions

AI & Machine Learning

Compensation Overview

$208.8k - $420.4kAnnually

+ Equity + Benefits

Expert

Remote in USA

Category
Hardware Engineering
Hardware Validation & Testing
Required Skills
Cadence Allegro
Requirements
  • Bachelors or M.S. in Electrical Engineering, Mechanical Engineering or Material science required
  • 10 or more years of industry experience/exposure with hands on experience in Semiconductor Packaging Design, Process and Technology Development
  • Hands on experience in industry standard tools like Cadence APD/Allegro
  • HVM experience with RDL designs for advanced packaging solutions
  • Ability to build strong relationships
  • Good written and oral communication skills; strong technical documentation skills
  • Good interpersonal skills; a history of mentoring junior engineers and interns a huge plus
  • Highly self-motivated and directed; self-confidence and self-starter
  • Keen attention to detail
  • Proven analytical and problem-solving abilities
  • Ability to effectively prioritize and execute tasks in a high-pressure environment
  • Experience working in a team-oriented, collaborative environment
Responsibilities
  • Lead chip package design process including chip PAD ring, define substrate interconnect scheme
  • Drive packaging effort end to end from concept to NPI, HVM, meet Cost/Manufacturability/Signal integrity/Flip chip assembly, Mechanical & Thermal requirements
  • Co-work with chip design team to optimize package design via chip floorplan, bump and package ball out, stack up and physical routing based on system requirements
  • Co-work with chip design, product engineering teams to come up with optimum substrate/ RDL solution to meet schedule/cost/component and system level requirements
  • Work closely with Foundry and OSAT partners to develop and bring up new substrate/ RDL technology from definition to prototyping to HVM
  • Own and execute Flip chip packages in single chip, 2.5D/3D in material optimization, NPI, CPI, package qualifications of component and board level, failure analysis
  • Drive definition of DFM/DFT/DOE/FMEA , material selection, improving critical process window

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 standards of quality and performance. The company targets a variety of clients across different industries that require fast and efficient AI processing capabilities. Groq's goal is to deliver scalable AI inference solutions that meet the growing demands for rapid data processing in the AI and machine learning market.

Company Stage

Series D

Total Funding

$1.3B

Headquarters

Mountain View, California

Founded

2016

Growth & Insights
Headcount

6 month growth

8%

1 year growth

-1%

2 year growth

-4%
Simplify Jobs

Simplify's Take

What believers are saying

  • Groq secured $640M in Series D funding, boosting its expansion capabilities.
  • Partnership with Aramco Digital aims to build the world's largest inferencing data center.
  • Integration with Touchcast's Cognitive Caching enhances Groq's hardware for hyper-speed inference.

What critics are saying

  • Increased competition from SambaNova Systems and Gradio in high-speed AI inference.
  • Geopolitical risks in the MENA region may affect the Saudi Arabia data center project.
  • Rapid expansion could strain Groq's operational capabilities and supply chain.

What makes Groq unique

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

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Benefits

Remote Work Options

Company Equity

INACTIVE