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 bold, 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 RoleAs 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
Tech StackPython, C++, PostgreSQL, Linux, Docker, KVM, Redis, Terraform, AWS, REST/gRPC APIs
Ideal Experience- 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 with member of your future team (virtual)
- 40 min – Systems and architectures (virtual)
- 1 hour – LLM-assisted coding assessment (virtual)
- 2 hours – Meet and greet with coding assessment (on-site)
$180,000 – $300,000 + equity + benefits
Vast.ai is hiring senior, staff and principal 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 and tech leads
- Ambitious, fast-paced startup culture where initiative is rewarded
Top Skills
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.









