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Infrastructure Software Engineer Jobs (NOW HIRING)

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 ...

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

$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 ...

Dropbox

Infrastructure Software Engineer

$183K - $248K/yr

Role Description As an Infrastructure Engineer, your role will be crucial in shaping and ... professional software development experience * Proven track record constructing and managing ...

CoreWeave

GPU Infrastructure Software Engineer

Manhattan, NY · On-site

$190K - $225K/yr

The GPU Infrastructure Software Engineer will design, implement, and maintain cloud infrastructure to enhance system efficiency and reliability, collaborating with various teams to improve GPU ...

Apple

Infrastructure Software Engineer

Cupertino, CA

$147K - $272K/yr

... software developer. Deep understanding of multi-threading concepts and design of highly concurrent ... Understanding of base internet infrastructure services including DNS, DHCP , LDAP , server ...

CoreWeave

GPU Infrastructure Software Engineer

Sunnyvale, CA · On-site

$201K - $239K/yr

The GPU Infrastructure Software Engineer will design, implement, and maintain the company's cloud infrastructure, focusing on improving the efficiency and scalability of systems that support ...

CoreWeave

GPU Infrastructure Software Engineer

Livingston, NJ · On-site

$188K - $223K/yr

The GPU Infrastructure Software Engineer will contribute to the design, implementation, and maintenance of the company's cloud infrastructure, focusing on improving the efficiency and reliability of ...

Apple

Infrastructure Software Engineer

Cupertino, CA · On-site

$213K - $252K/yr

... for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer ... Understanding of base internet infrastructure services including DNS, DHCP , LDAP , server ...

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Infrastructure Software Engineer information

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$115.5K

$180.3K

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How much do infrastructure software engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for infrastructure software engineer in the United States is $180,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $173,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Infrastructure Software Engineer position, and why are they important?

To thrive as an Infrastructure Software Engineer, you need a deep understanding of computer systems, networking, cloud infrastructure, and proficiency in programming languages such as Python, Go, or Java. Experience with infrastructure automation tools (like Terraform, Ansible, or Kubernetes), cloud platforms (AWS, Azure, GCP), and possibly certifications such as AWS Certified Solutions Architect are highly valuable. Effective collaboration, problem-solving abilities, and strong communication skills help you excel in cross-functional teams and fast-paced environments. These skills are critical to building scalable, reliable systems and ensuring seamless deployment and maintenance of company infrastructure.

What does an Infrastructure Software Engineer do?

An Infrastructure Software Engineer designs, builds, and maintains the foundational software systems that support applications, networking, and cloud environments. They focus on scalability, reliability, and performance by developing automation tools, managing CI/CD pipelines, and optimizing infrastructure. Their work ensures systems run efficiently, securely, and with minimal downtime.

What are the typical day-to-day responsibilities of an Infrastructure Software Engineer?

As an Infrastructure Software Engineer, your typical day involves designing, implementing, and maintaining automation workflows for infrastructure deployment, monitoring system performance, and responding to incidents or outages. You'll work closely with development, DevOps, and IT teams to ensure infrastructure scalability, reliability, and security. Regular tasks may include writing scripts, managing cloud resources, evaluating new tools, and participating in on-call rotations. Collaboration and proactive problem-solving are central to meeting both technical and business needs efficiently. This role offers a dynamic blend of hands-on technical work and teamwork in evolving environments.

More about Infrastructure Software Engineer jobs
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Infrastructure Software Engineer jobs near you
Infographic showing various Infrastructure Software Engineer job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $180,266 per year, or $86.7 per hour.

Infrastructure Software Engineer

Normal Computing

New York, NY • On-site

$185K - $285K/yr

Full-time

Posted yesterday

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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