Join the Delos Team!

Reposted 2 Months Ago
Hiring Remotely in USA
Remote
Entry level
Artificial Intelligence • Hardware • Semiconductor
Stronger Network. Faster Inference.
The Role
Delos is a stealth-mode startup seeking to build foundational technology for AI data centers, fostering a collaborative and responsible working environment.
Summary Generated by Built In

Who we are:

We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors.
The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver.
Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S. and Canada. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously.

What we need

This is a place to share your resume for any potential needs that are not featured on our page.

Agency Note:

We do not accept resumes from agencies or search firms. Please do not forward candidate profiles through our careers page, email, LinkedIn messages, or directly to company employees. Any resumes submitted will be deemed the property of the company, and no fees will be paid in the event the candidate is hired.

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The Company
HQ: Palo Alto, CA
50 Employees
Year Founded: 2025

What We Do

We are a mixture of software, system, and silicon experts using AI every day to deliver the world's most capable and responsive intelligence.

Why Work With Us

We are a mixture of software, system, and silicon experts using AI every day to deliver the world's most capable and responsive intelligence. We start from the workload. Scaling inference is less about brute force and more about how compute is distributed and memory is interc

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