Senior Infrastructure Engineer

Vast Ai — United States · Posted ~4 hours ago

Senior Full-time Onsite

Skills

infrastructure engineering cloud computing distributed systems system architecture software engineering cloud infrastructure GPU computing

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Summary ✨ AI‑Generated

A technology company is seeking a senior infrastructure engineer to design and scale core computing systems. The role involves building reliable platforms, improving distributed infrastructure, and collaborating on advanced engineering challenges.

Highlights

Opportunity to build and scale large-scale computing infrastructure while working on challenging systems involving architecture, coding, and communication.

Description

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 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 Stack Python, C++, PostgreSQL, Linux, Docker, KVM, Redis, Terraform, AWS, REST/gRPC APIs Ideal Experience Distributed Systems: Experience building high-throughput backend systems or compute cloudsCompute Orchestration: Familiarity with Docker, or custom scheduling frameworksGPU Infrastructure: Understanding of GPU provisioning, driver management, and workload schedulingBilling & Metering: Implemented or integrated usage-based billing and account credit systemsMarketplace Dynamics: Knowledge of dynamic pricing, spot instances, or supply-demand balancing mechanismsSecurity & Multi-Tenancy: Experience designing secure, multi-tenant systems in cloud environmentsProgramming: Strong programming skills in Python and C++; ability to write performant, maintainable, well-architected codeDatabase 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 isolationPrior startup experience or end-to-end product ownership Key Responsibilities Improve the backend systems that power Vast.ai’s compute marketplaceIntegrate GPU provider onboarding, usage tracking, billing, and orchestration APIsDevelop scalable infrastructure for workload scheduling and resource managementOptimize pricing and marketplace logic for efficiency and transparencyBenchmark, profile, and harden systems for performance, reliability, and fault toleranceCollaborate with product and infrastructure teams to shape the future of decentralized compute 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 insurance401(k) with company matchMeaningful early-stage equityOnsite meals, snacks, and close collaboration with founders/tech leadersAmbitious, fast-paced startup culture where initiative is rewarded Compensation Range: $200K - $330K