ZipRecruiter

Log In

2

Entry Level Ai Infrastructure Engineer Jobs in California

Qualcomm

#AI Infrastructure Software Engineer

San Diego, CA · On-site

$183K - $217K/yr

Qualcomm's AI Infrastructure Software team is seeking a highly motivated and versatile software engineer to develop cutting-edge embedded software across the full system stack on Qualcomm Snapdragon ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure. * Model ...

Vast.ai Inc

Senior Infrastructure Engineer

Los Angeles, CA · On-site

$180K - $300K/yr

About Us Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing ... About the Role As a Senior Infrastructure Engineer, you will help design and scale the core systems ...

EQL Tech

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 ...

EQL Tech

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 ...

EQL Tech

Infrastructure Engineer

San Francisco, CA

$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 ...

Tamarind Bio

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 ...

LatchBio

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 ...

previous pagenext page

Showing results 21-40

All JobsAi Infrastructure Engineer JobsEntry Level Ai Infrastructure Engineer JobsEntry Level Ai Infrastructure Engineer Jobs in California

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.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in California? The most popular types of Ai Infrastructure Engineer jobs in California are:
What are popular job titles related to Entry Level Ai Infrastructure Engineer jobs in California? For Entry Level Ai Infrastructure Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Infrastructure Engineer jobs in California look for? The top searched job categories for Entry Level Ai Infrastructure Engineer jobs in California are:
What cities in California are hiring for Entry Level Ai Infrastructure Engineer jobs? Cities in California with the most Entry Level Ai Infrastructure Engineer job openings:
Entry Level Ai Infrastructure Engineer jobs near you
Infographic showing various Entry Level Ai Infrastructure Engineer job openings in California as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Lead AI Infrastructure Engineer, Reinforcement Learning

Advanced Micro Devices

Santa Clara, CA • On-site

$120 - $170/hr

Other

Re-posted 7 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers

Job description

At AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.

THE ROLE:

We are hiring a Lead AI Infrastructure Engineer, Reinforcement Learning to own reinforcement learning infrastructure at scale—including distributed policy and value training, rollout generation, logging, checkpointing, and researcher‑facing APIs across large GPU fleets. You make RL scientists productive by improving throughput, fault tolerance, reproducibility, and observability—turning fragile notebooks into reliable systems that RSI, generalizing‑HW, and RL research programs depend on.

THE PERSON:

You profile before you optimize; you treat researcher time as expensive as GPU time. You communicate SLAs, capacity plans, and incident patterns clearly and partner on cost‑quality tradeoffs.

KEY RESPONSIBILITIES:
  • Design and implement distributed RL training stacks (data parallel, pipeline parallel, or hybrid) integrated with AMD’s schedulers and storage
  • Build high‑throughput rollout workers, trajectory stores, and reward computation pipelines with versioning and audit trails
  • Instrument jobs for debugging (NaNs, stragglers, OOMs), implement autoscaling and preemption‑safe checkpointing
  • Collaborate with research scientists on experiment templates, hyperparameter sweeps, and safe promotion paths from research to wider team use
  • Drive reliability: on‑call rotations, runbooks, and postmortems for infra incidents affecting RL training
PREFERRED EXPERIENCE:
  • Strong systems track record in machine learning (ML) platforms with deep systems expertise and demonstrated technical impact.
  • Deep experience with PyTorch (or JAX), NCCL/MPI‑style distributed training, and GPU cluster orchestration
  • Prior ownership of RL training infra, LLM post‑training pipelines, or large‑scale experiment management
  • Proficiency in C++/Python performance tuning, I/O optimization, and containerized workloads
ACADEMIC CREDENTIALS:
  • Bachelor’s degree required; Master’s or PhD preferred in Computer Science for research‑heavy collaboration depth is preferred.
BENEFITS:

Benefits offered are described:

LEGAL & EEO STATEMENTS:

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‑based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s Responsible AI Policy is available.

This posting is for an existing vacancy.

#J-18808-Ljbffr

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply