Groq

Software Engineer, Model Evaluation Systems

Palo Alto, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SemiconductorIndustries

Requirements

Candidates should have proven experience building or working with evaluation systems or working on novel applied AI projects, proficiency in Python and Golang with strong software engineering fundamentals and best practices, and the ability to self-drive, tackle non-trivial challenges with minimal guidance, and work across unconventional AI problems. Contributions to open-source projects or prior startup experience are a plus.

Responsibilities

The Software Engineer, Model Evaluation Systems will write code in Python and Golang to support evaluation pipelines and tooling, develop and implement benchmarking tools to assess model performance, build automated evaluation systems and testing infrastructure, work closely with cross-functional teams to integrate models, collect and analyze performance data, and provide actionable insights for improving model performance, scalability, and reliability.

Skills

Python

Golang

Software Engineering

Benchmarking

Data Analysis

Automation

System Integration

Testing

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.

Key Metrics

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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