Inferred from the employer’s wording in this job description. These role-level signals are separate from the company-wide employee-review scores below.
GPU Cloud Marketplace · LA & SF
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.
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
C, C++, Python, Linux
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.
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
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.
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