[Remote] Sr. Director of Hardware Systems Engineering at Groq

Palo Alto, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Semiconductors, HardwareIndustries

Skills

Key technologies and capabilities for this role

Hardware Systems EngineeringAI inferenceSoC integrationSystem-level performanceSystem architectureBoard designServer integrationRack-scale deploymentsHardware designComponent selectionSchematic capturePCB layoutTeam leadershipMentoringCross-functional collaborationProduct roadmapVendor selectionManufacturingDesign housesQuality assuranceProduct deliveryFirmwareSoftwareProduct managementOperationsSupply chain

Questions & Answers

Common questions about this position

What is the salary for the Sr. Director of Hardware Systems Engineering role?

This information is not specified in the job description.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What key skills and experience are required for this role?

The role requires expertise in SoC integration, system architecture, high-speed design including interfaces like DDR and PCIe, hardware development oversight from requirements to validation, and leadership in team building and vendor management.

What is the company culture like at Groq?

Groq fosters a culture of innovation, technical excellence, and collaboration within the Hardware Systems Engineering team.

What makes a strong candidate for this position?

A strong candidate has proven strategic leadership in hardware systems engineering, deep expertise in SoC integration and system-level optimization, experience building and mentoring high-performing teams, and the ability to collaborate cross-functionally while managing vendors and mitigating risks.

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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