C++ Software Engineer — Systems

Reposted 18 Days Ago
2 Locations
In-Office
120K-180K Annually
Entry level
Artificial Intelligence • On-Demand • Software
The AI Infrastructure Platform: scalable, efficient, on-demand GPUs
The Role
As a Systems Software Engineer at Vast.ai, you will enhance critical system performance, reliability, and infrastructure, focusing on containerization and security.
Summary Generated by Built In
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 (≈ 1 week)

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, systems and architectures (virtual)
  • 1 hour - LLM-assisted coding assessment (virtual)
  • 2 hours - Meet and greet with coding assessment (on-site)
Annual Salary Range

$120,000 – $180,000 + equity + benefits

Vast.ai is hiring across all experience levels with compensation commensurate with background, experience and potential.

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

 

Skills Required

  • Strong programming skills in at least one language, ideally C++
  • Extensive knowledge of Linux kernel internals and virtualization
  • Deep understanding of workload and network isolation techniques
  • Experience in securing and hardening cloud infrastructure
  • Strong background in network security and cloud-native practices
  • Experience with GPU programming and security concerns
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The Company
HQ: Westwood, CA
41 Employees
Year Founded: 2018

What We Do

Vast.ai is the market leader for low cost GPU rentals. The service connects data centers and professionals running the Vast hosting software with users who can quickly find the best deals for compute according to their specific requirements. Vast.ai GPU rentals are ~3-5X cheaper than current alternatives. Consumer computers and consumer GPUs in particular are considerably more cost effective than equivalent enterprise hardware. We are helping the millions of underutilized consumer GPUs around the world enter the cloud computing market for the first time.

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