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 Senior Infrastructure Engineer, you will help design and scale the core systems that power Vast.ai’s global GPU marketplace.
You’ll work closely with our founders and core engineering team to extend the underlying compute infrastructure — from GPU provisioning and scheduling to billing, orchestration, and marketplace dynamics.
We’re looking for someone who has previously built large-scale infrastructure platforms — systems with similarities to Vast.ai, or distributed compute orchestration frameworks.
Full-time · On-site at either our SF or LA offices
Python, C++, PostgreSQL, Linux, Docker, KVM, Redis, Terraform, AWS, REST/gRPC APIs
Distributed Systems: Experience building high-throughput backend systems or compute clouds
Compute Orchestration: Familiarity with Docker, or custom scheduling frameworks
GPU Infrastructure: Understanding of GPU provisioning, driver management, and workload scheduling
Billing & Metering: Implemented or integrated usage-based billing and account credit systems
Marketplace Dynamics: Knowledge of dynamic pricing, spot instances, or supply-demand balancing mechanisms
Security & Multi-Tenancy: Experience designing secure, multi-tenant systems in cloud environments
Programming: Strong programming skills in Python and C++; ability to write performant, maintainable, well-architected code
Database Expertise: Comfortable designing schemas and queries for large-scale data systems (PostgreSQL preferred)
Bonus points for:
Experience with GPU security, virtualization, or zero-trust compute isolation
Prior startup experience or end-to-end product ownership
Improve the backend systems that power Vast.ai’s compute marketplace
Integrate GPU provider onboarding, usage tracking, billing, and orchestration APIs
Develop scalable infrastructure for workload scheduling and resource management
Optimize pricing and marketplace logic for efficiency and transparency
Benchmark, profile, and harden systems for performance, reliability, and fault tolerance
Collaborate with product and infrastructure teams to shape the future of decentralized compute
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