Performance Modeling Engineer

Palo Alto, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Semiconductor, Computer HardwareIndustries

Requirements

Candidates should possess a background or experience in computer science, mathematics, or ECE, with strong fundamentals in computer architecture and deep knowledge of AI architectures. Proficiency in C/C++ and Python is required, along with experience in modeling AI/ML workloads and using cycle-accurate simulators. Experience with ASIC microarchitecture design and simulating RTL designs is a plus.

Responsibilities

Develop and maintain performance models for Groq hardware using AI/ML workloads, analyze AI/ML algorithms to understand their requirements, and map them to hardware architectures. Lead cross-functional teams for software/hardware co-optimization, identify performance bottlenecks, and guide future chip architecture development. Evaluate new technologies, provide what-if scenarios to leadership, develop Design Space Exploration tools, and define custom hardware solutions for customers.

Skills

Performance Modeling

AI/ML Workloads

LLMs

CNNs

LSTMs

Compute Analysis

Networking Analysis

Memory Analysis

Hardware Architecture

SW/HW Co-optimization

Chip Architecture

System Integration

Design Space Exploration (DSE)

Custom Hardware Solutions

Computer Architecture

AI Architectures

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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