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Full-Time

Senior ASIC Design Verification Engineer

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

$181.7k - $318kAnnually

+ Equity + Benefits

Expert

Remote in USA

Category
Embedded Systems Engineering
Electrical Engineering
Hardware Engineering
Hardware Validation & Testing
Requirements
  • BS degree in electrical engineering, or related fields, or equivalent practical experience; advance degrees (MS or PhD) is a plus
  • 10+ years design verification experience of building testbenches environments and design verification processes
Responsibilities
  • Verify hardware features of Language Process Unit (LPU).
  • Collaborate within the Hardware Team to design and verify features on LPU chips in simulation, emulation and silicon.
  • Develop and implement advanced verification environments and methodologies for complex ASIC designs.
  • Implement and optimize automated verification flows to improve productivity and efficiency.
  • Utilize formal verification techniques to rigorously verify critical design properties and ensure compliance with specifications.
  • Stay updated on the latest trends and advancements in ASIC design verification and incorporate innovative techniques into the verification process.
  • Support silicon bring-up and debug.
  • Be a productivity multiplier. Contribute to identifying and adopting engineering best practices within the verification team and interactions with cross-functional teams at Groq.
  • Innovate. Contribute to developing future verification strategies for validating future accelerator chips and hardware architectures for ML workloads.

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.