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Infra Engineer Jobs (NOW HIRING)

Abode TechZone, LLC

GCP Cloud Infra Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Abode TechZone, LLC is a company focused on cloud infrastructure solutions, and they are seeking a GCP Cloud Infra Engineer. The role involves implementing identity management and networking ...

Serotonin

AI Infra Engineer

San Francisco, CA · On-site

This role sits at the intersection of competitive intelligence, data engineering, and agentic AI. You'll pull signals from social platforms, on-chain activity, and paid media, and turn them into ...

Neura Market

$213K - $263K/yr

Collaborate with Data Engineers and Product Data Scientists to set global platform consistency, dependency tracing, and linear DAG architecture guidelines. You have: * BS/MS in Computer Science ...

Reducto

Machine Learning Infra Engineer

San Francisco, CA · On-site

$200K - $300K/yr

The Opportunity As an ML Infra Engineer , you'll play a key role in building the inference and training frameworks that make it possible to deliver results at scale. You'll collaborate closely with ...

Serotonin

AI Infra Engineer

New York, NY · On-site

This role sits at the intersection of competitive intelligence, data engineering, and agentic AI. You'll pull signals from social platforms, on-chain activity, and paid media, and turn them into ...

Waymo

Data Infra Engineer

Mountain View, CA · On-site

$213K - $263K/yr

You have: • BS/MS in Computer Science, Computer Engineering, or equivalent. • 4+ years of professional backend software engineering experience, focused heavily on distributed systems, databases ...

Humble Robotics

ML Infra Engineer

San Francisco, CA · On-site +1

We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview We're looking for an ML ...

Scaleops

Infra Engineer- US

New York, NY · Remote

$110K - $144K/yr

About ScaleOps ScaleOps, the leader in real-time automated cloud resource management, is revolutionizing how DevOps teams manage their cloud-native application infrastructures. Backed by venture ...

Judgment Labs

Backend/Infra Engineer

San Francisco, CA · On-site

Senior Backend Engineer San Francisco • On Site • Full Time Judgment Labs is building the ... You'll shape core systems early, ship quickly, and work across product, data, backend, infra, and ...

Serotonin

AI Infra Engineer

Los Angeles, CA · On-site

This role sits at the intersection of competitive intelligence, data engineering, and agentic AI. You'll pull signals from social platforms, on-chain activity, and paid media, and turn them into ...

Serotonin

AI Infra Engineer

Chicago, IL · On-site

This role sits at the intersection of competitive intelligence, data engineering, and agentic AI. You'll pull signals from social platforms, on-chain activity, and paid media, and turn them into ...

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Infra Engineer information

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$46.5K

$127.1K

$182K

How much do infra engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for infra engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is the difference between Infra Engineer vs Network Engineer?

AspectInfra EngineerNetwork Engineer
CertificationsCCNA, CompTIA Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, cloud infrastructure, serversNetwork hardware, routers, switches, LAN/WAN
Industry UsageIT infrastructure, cloud providers, enterpriseTelecommunications, enterprise networks, ISPs

Infra Engineers focus on overall IT infrastructure, including servers and cloud systems, while Network Engineers specialize in designing and maintaining network hardware and connectivity. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

How much do infrastructure engineers get paid?

Infrastructure engineers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and certifications. Senior roles or those with specialized skills in cloud platforms or network security may command higher salaries.

What do infrastructure engineers do?

Infrastructure engineers design, build, and maintain the hardware, networks, and systems that support an organization’s IT environment. They configure servers, manage cloud services, ensure system security, and troubleshoot technical issues to ensure reliable operation. Proficiency with tools like Linux, networking protocols, and scripting languages is often required.
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Infra Engineer jobs near you
Infographic showing various Infra Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

ML Infra Engineer, Data Systems

San Francisco, CA • On-site

Physical Intelligence
Education Programs Administration • 1 - 10 employees
Learn more about Physical Intelligenceexternal

Full-time

Re-posted 19 days ago

Job description

Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
As an ML Infra Engineer (Data Systems), you'll build and operate the data infrastructure that powers large-scale robot learning. Your systems will sit directly between raw data sources and training/evaluation, enabling us to move faster while maintaining performance, correctness, and reliability at scale.
This is a systems role at the intersection of distributed systems, storage, and machine learning infrastructure.
The Team
The Infrastructure organization builds the foundations that make large-scale learning possible at PI. This includes training systems, data platforms, evaluation pipelines, and the tooling that allows researchers and roboticists to work with massive datasets safely and efficiently.
In This Role You Will
  • Data Ingestion & Processing: Design and build high-throughput pipelines that validate, transform, and featurize raw multimodal data.
  • Batch & Streaming Systems: Operate large-scale batch and streaming workflows over massive datasets.
  • Storage Systems: Design object storage layouts, metadata systems, and efficient access patterns; choose file formats with performance and scalability in mind.
  • Data Lifecycle Management: Build systems for backfills, dataset rebuilds, garbage collection, and large-scale transformations.
  • Training-Time Performance: Optimize dataloaders, sharding, prefetching, caching, and throughput to reduce time from data arrival → model training.
  • Metadata & Indexing: Build scalable metadata stores for datasets, annotations, and training artifacts.
  • Data Movement: Move petabytes efficiently across clusters and environments.
  • Operational Correctness: Implement observability, validation, and guardrails to prevent silent data regressions.
  • Cross-Functional Collaboration: Work closely with cross-functional teams of researchers, engineers and roboticists to translate evolving data needs into robust systems.

What We Hope You'll Bring
  • Strong software engineering fundamentals.
  • Experience building distributed systems or large-scale data pipelines.
  • Comfort reasoning about performance, memory, I/O, and storage efficiency.
  • Familiarity with batch and/or streaming processing systems.
  • Experience with object storage systems and data format tradeoffs.
  • Ownership mindset: design, build, operate, and iterate on systems end-to-end.
  • Enjoy working closely with researchers and unblocking fast-moving projects.

Bonus Points If You Have
  • Experience with large ML training pipelines or dataloading systems.
  • Knowledge of columnar or custom data formats.
  • Experience with systems like ClickHouse, Ray, Flink, Spark, or similar.
  • Hands-on experience operating petabyte-scale datasets.
  • Debugging and fixing performance bottlenecks in data-heavy systems.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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