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Vast.ai

C++ Software Engineer

Los Angeles · San Francisco

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hirly's read of this role

Role family
Engineering
Seniority
Mid level
Stated salary
$155,000 – $285,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About Us

Vast.ai ’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.

We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.

We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.

LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.

About the Role

As a Systems Software Engineer, you will work on key performance critical systems such as the daemon which orchestrates every host in our fleet. You will improve the performance, reliability and capability of our infrastructure and containerization technologies including monitoring and telemetry.

Full-time

On-site at either our SF or LA offices

Tech Stack

C, C++, Python, Linux

Ideal Experience

Programming : Strong programming skills in at least one language, ideally C++

Linux and Virtualization : Extensive knowledge of Linux kernel internals, containerization technologies, and virtualization

Isolation Techniques : Deep understanding of workload and network isolation techniques in multi-tenant environments

Cloud Security : Experience in securing and hardening cloud infrastructure, particularly in environments with untrusted workloads

Multi-tenant Security : Strong background in workload and network isolation, network security, and cloud-native security practices

GPU Security : Experience with GPU programming and an understanding of GPU-specific security concerns.

Key Responsibilities

Expand and extend our GPU cloud daemon

Design and deploy market-based resource management systems

Harden code and infrastructure to meet zero‑trust standards

Benchmark , profile , and eliminate bottlenecks across hypervisor, container, and network layers

Interview Process

After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:

15 min - Initial screening (virtual)

45 min - Quick dive into Vast, work history (virtual)

45 min - Systems and architectures (virtual)

1 hour - LLM-assisted coding assessment (virtual)

2 hours - Meet and greet with coding assessment (on-site)

Our goal is to complete the interview process in two weeks.

Benefits

Comprehensive health, dental, vision, and life insurance

401(k) with company match

Meaningful early-stage equity

Onsite meals, snacks, and close collaboration with founders/tech leaders

Ambitious, fast-paced startup culture where initiative is rewarded

Original posting on Vast.ai's site ↗

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