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Entry Level Ai Infrastructure Engineer Jobs in California

Hercules is looking for a senior or staff level infrastructure engineer to help us build the future ... AI Agent , the AI harness that enables anyone to build powerful full‑stack applications. * App ...

New

You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk's SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments ...

Infrastructure Engineer

San Francisco, CA · On-site

$125K - $175K/yr

You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk's SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments ...

About LatchBio We build the benchmarks that test whether frontier AI can actually do computational ... We need engineers to build the infrastructure that powers our benchmarking pipeline - data ...

Infrastructure Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk's SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments ...

Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Tamarind Bio is a company that enables scientists to access AI-powered drug discovery. They are seeking two Infrastructure Engineers to lead the scaling of their machine learning inference system ...

Infrastructure Engineer

San Francisco, CA · On-site

$180K - $250K/yr

About LatchBio We build the benchmarks that test whether frontier AI can actually do computational ... We need engineers to build the infrastructure that powers our benchmarking pipeline - data ...

INFRASTRUCTURE ENGINEER, APPLIED AI The Firm Paradigm is a San Francisco-based investment firm focused on frontier technologies across the globe, with over $11 billion in assets under management. We ...

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Showing results 41-60

Entry Level Ai Infrastructure Engineer information

What is the difference between Entry Level Ai Infrastructure Engineer vs Data Engineer?

AspectEntry Level Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, EE, or related; familiarity with AI toolsBachelor's in CS, Data Science, or related; experience with databases
Work EnvironmentAI/ML teams, cloud platforms, infrastructure setupData pipelines, database management, cloud services
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, data-driven industries

Entry Level Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware setups, while Data Engineers primarily develop data pipelines and manage data storage. Both roles require technical skills and often overlap in cloud environments, but they serve different core functions within data and AI projects.

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For Entry Level Ai Infrastructure Engineer jobs in California, the most frequently searched job titles are:

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Cities in California with the most Entry Level Ai Infrastructure Engineer job openings:

Infographic showing various Entry Level Ai Infrastructure Engineer job openings in California as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Senior Infrastructure Engineer

Vast.ai Inc.

San Francisco, CA • On-site

$180 - $230/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago


Job 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 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



Key Responsibilities

  • 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



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 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)



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


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