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Internship Infrastructure Software Engineer Jobs

Nebius

Infrastructure Software Engineer

$150K - $210K/yr

The role Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage ...

Etched

Infrastructure Software Engineer

San Jose, CA · On-site

$202K - $240K/yr

The Infrastructure Software Engineer will lead the development of custom infrastructure and tooling to support fast, reliable, and scalable AI model development, enabling engineers to innovate and ...

Coram AI

Infrastructure Software Engineer

Sunnyvale, CA · On-site

$201K - $239K/yr

The Infrastructure Software Engineer will play a crucial role in managing and developing the edge and cloud stack for IoT products, contributing to infrastructure and custom software solutions.

Etched

Infrastructure Software Engineer

San Jose, CA · On-site

$150K - $250K/yr

We build this infrastructure as software - and we engineer it with the same best practices we apply to our products. We use the same rigor, design discipline, and quality standards and testing as we ...

Etched

Infrastructure Software Engineer

San Jose, CA · On-site

$150K - $250K/yr

We build this infrastructure as software - and we engineer it with the same best practices we apply to our products. We use the same rigor, design discipline, and quality standards and testing as we ...

Overland AI

Infrastructure Software Engineer

Seattle, WA · On-site

$120K - $200K/yr

As a Software Infrastructure Engineer , you'll design, build, and maintain the internal software systems that power our AI/ML workflows, connect our robots, and streamline developer operations across ...

Mechanical Orchard

Senior Infrastructure Software Engineer

$111K - $151K/yr

As an Infrastructure Software Engineer in Delivery at Mechanical Orchard, you will be expected to: * Work as part of a small, cross functional XP team installing Imogen into client cloud environments ...

Mechanical Orchard

Senior Infrastructure Software Engineer

OR · Remote

$111K - $151K/yr

As an Infrastructure Software Engineer in Delivery at Mechanical Orchard, you will be expected to: * Work as part of a small, cross functional XP team installing Imogen into client cloud environments ...

Mechanical Orchard

OR

$108K - $147K/yr

As an Infrastructure Software Engineer in Delivery at Mechanical Orchard, you will be expected to: * Work as part of a small, cross functional XP team installing Imogen into client cloud environments ...

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All JobsInternship Infrastructure Software Engineer Jobs

Internship Infrastructure Software Engineer information

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$25

$38

How much do internship infrastructure software engineer jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for internship infrastructure software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Infrastructure Software Engineer vs Infrastructure Software Engineer?

AspectInternship Infrastructure Software EngineerInfrastructure Software Engineer
Required CredentialsTypically pursuing or recently completed a relevant degree; no professional experience requiredBachelor's or higher in Computer Science or related field; professional experience preferred
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time roles, independent project management, team collaboration
Employer & Industry UsageTech companies, startups, IT departments during internship periodsEstablished companies, data centers, cloud providers, large-scale IT infrastructure

The main difference is that an Internship Infrastructure Software Engineer is an entry-level position designed for students or recent graduates gaining initial industry experience, while an Infrastructure Software Engineer is a full-time professional responsible for designing, implementing, and maintaining infrastructure systems. Interns typically work under supervision, whereas full-time engineers handle complex projects independently.

What cities are hiring for Internship Infrastructure Software Engineer jobs? Cities with the most Internship Infrastructure Software Engineer job openings:
What are the most commonly searched types of Infrastructure Software Engineer jobs? The most popular types of Infrastructure Software Engineer jobs are:
Internship Infrastructure Software Engineer jobs near you
Infographic showing various Internship Infrastructure Software Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 92% Full Time, 6% Part Time, and 1% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Infrastructure Software Engineer

Normal Computing

New York, NY • On-site

$185K - $285K/yr

Full-time

Posted 29 days ago

Job description

Normal Computing | Incredible Opportunities
The Normal Team builds foundational software and hardware that help move technology forward, supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, and London.
Your Role in Our Mission
We're looking for an Infrastructure Software Engineer to build the production systems behind Normal's AI products.
This is an application engineering role focused on infrastructure-shaped software: orchestration services, execution runtimes, internal APIs, persistence layers, observability, and developer experience. You'll help define the runtime layer for a new class of AI products: systems where agents execute long-running work, coordinate across distributed environments, interact with code and tools, and need to be reliable enough for real customer workflows.
This role sits between product engineering, AI engineering, and platform engineering. You will not primarily be managing Terraform, Helm charts, CI/CD, or company-wide SaaS infrastructure. Instead, you'll own the application-level infrastructure that powers long-running AI workflows: session lifecycle, sandboxed execution, workload orchestration, persistence, observability, reliability, and the internal interfaces other engineers build on.
The systems you build will be used directly by product, AI, research, and platform teams as new capabilities move from early ideas into production. Developer experience matters: APIs should be understandable, failure modes should be debuggable, and abstractions should make the right thing easy.
This is a highly cross-functional role for someone who enjoys ambiguity, cares about clean abstractions, and wants to help shape how a frontier AI company builds and operates production systems. Strong engineering judgment and ownership matter more than rigid specialization.
On any given day, you might design the runtime architecture for a new AI product capability, build the orchestration layer for long-running autonomous workflows, improve how workloads are scheduled and isolated across distributed environments, or create the systems abstractions that let engineers turn ambitious AI prototypes into reliable production products.
Responsibilities
  • Build and maintain production software infrastructure for Normal's AI products, especially orchestration, execution, and runtime systems.
  • Design internal backend services and APIs used by product engineers, AI engineers, execution services, and other internal systems.
  • Improve the operational maturity of rapidly evolving systems through better state management, failure handling, metrics, tracing, and debugging tools.
  • Work with Kubernetes-backed execution environments, including container lifecycle, scheduling behavior, autoscaling, resource isolation, and runtime reliability.
  • Build developer-facing tools and abstractions that make it easier for other engineers to use and extend the systems you own.
  • Turn promising prototypes into durable production systems by designing clear abstractions, hardening critical paths, and creating operational patterns that scale with the product.
  • Collaborate closely with product, AI, research, and platform engineers to define the right interfaces between product features, AI workloads, and production infrastructure.
  • Lead design discussions for core runtime and orchestration systems, including API boundaries, state management, execution models, and operational tradeoffs.
What We're Looking For
  • 4+ years of experience in infrastructure software, backend infrastructure, production infrastructure, platform engineering, distributed systems, or related areas.
  • Strong software engineering fundamentals, including backend programming, APIs, data modeling, concurrency, debugging, and testing.
  • Experience building or operating production services where reliability, observability, and maintainability matter.
  • Practical experience with Docker and Kubernetes, including debugging containerized workloads, deployments, networking, resource limits, and lifecycle issues.
  • Comfort working with persistence systems such as Postgres, Redis/Valkey, object storage, or similar production data stores.
  • Experience building orchestration systems, job schedulers, workflow engines, sandboxes, developer platforms, or distributed execution systems.
  • Experience designing internal APIs and developer-facing abstractions that other engineers can use confidently.
  • Strong systems thinking: you can reason about state machines, failure modes, retries, queues, leases, scheduling, and long-running workflows.
  • Pragmatism in fast-moving environments: you know when to improve an abstraction, when to delete one, and when to ship the simple version.
  • Ownership mindset: you care whether the systems you build work in production and are usable by other engineers.
  • Clear communication and good technical judgment across product, AI, and infrastructure boundaries.
Nice to Have
  • Deep Kubernetes experience, such as controllers/operators, networking, storage, scheduling, autoscaling, or resource isolation.
  • Experience with AI agent infrastructure, ML infrastructure, model orchestration, or LLM-based product systems.
  • Background in production infrastructure, reliability engineering, or infrastructure software at meaningful scale.
  • Experience in high-growth startups or engineering teams where ownership boundaries are still being defined.
  • Experience with Chips, EDA or Device Verification

Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

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