[Remote] Performance Modeling Engineer at Groq

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

Skills

Key technologies and capabilities for this role

Performance ModelingAI/ML WorkloadsLLMsCNNsLSTMsCompute AnalysisNetworking AnalysisMemory AnalysisHardware ArchitectureSW/HW Co-optimizationChip ArchitectureSystem IntegrationDesign Space Exploration (DSE)Custom Hardware SolutionsComputer ArchitectureAI Architectures

Questions & Answers

Common questions about this position

What programming languages are required for this role?

Proficiency in C/C++ and Python is required.

What are the key skills and experience needed for the Principal Performance Modeling Engineer position?

Ideal candidates have a computer science, mathematics, or ECE background, strong fundamentals in computer architecture especially AI architectures, in-depth understanding of AI/ML algorithms, experience modeling AI/ML workloads, and proficiency in C/C++ and Python.

What is the company culture like at Groq?

Groq values humility, collaboration, a growth and giver mindset, curiosity and innovation, and passion, grit, and boldness.

Is this position remote or does it require working in the office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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