Sr. ASIC Design Verification Engineer

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, HardwareIndustries

Requirements

Candidates should possess a Bachelor’s degree in Electrical Engineering or a related field, or equivalent practical experience, with a minimum of 8 years of design verification experience, including building testbenches, environments, and design verification processes; an advanced degree (Master’s or PhD) is preferred. Strong analytical and problem-solving abilities, good written and oral communication skills, and the ability to prioritize and execute tasks in a high-pressure environment are also required.

Responsibilities

The Sr. ASIC Design Verification Engineer will verify hardware features of Language Processing Units (LPUs), collaborate within the Hardware Team to design and verify features on LPU chips using simulation and emulation, develop and implement advanced verification environments and methodologies, implement and optimize automated verification flows, utilize formal verification techniques, support silicon bring-up and debug, contribute to identifying and adopting engineering best practices, and innovate to develop future verification strategies for validating accelerator chips and hardware architectures for ML workloads.

Skills

ASIC verification

Hardware verification

Simulation

Emulation

Formal verification

Verification environments

Automation

Silicon bring-up

Debugging

ASIC design

Groq

AI inference technology for scalable solutions

About Groq

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.

Mountain View, CaliforniaHeadquarters

2016Year Founded

$1,266.5MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Company Equity

Risks

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.

Differentiation

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.

Upsides

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.

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