[Remote] Senior Infrastructure Engineer at Groq

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Skills

Key technologies and capabilities for this role

LinuxKubernetesGoPythonBashTerraformGitDHCPDNSPXEiPXEHTTPBootTalos LinuxInfrastructure-as-code

Questions & Answers

Common questions about this position

What is the salary range for the Senior Infrastructure Engineer position?

The base salary range is $132,100 - $279,800, as part of a comprehensive compensation package that includes equity and benefits.

Is this a remote or hybrid role?

This is a hybrid position.

What skills are required for this Senior Infrastructure Engineer role?

Required skills include experience with Linux/Kubernetes systems, familiarity with infrastructure-as-code and Git-based workflows like Terraform and Flux, ability to write tooling in Go/Python/Bash, understanding of networking fundamentals, working knowledge of storage concepts, and a strong sense of ownership.

What is the company culture like at Groq?

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

What makes a strong candidate for this role?

A strong candidate has hands-on experience with Linux/Kubernetes, infrastructure-as-code tools, scripting in Go/Python/Bash, networking and storage knowledge, and demonstrates ownership and willingness to tackle low-level issues; nice-to-haves include data center provisioning and Talos Linux experience.

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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