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AI Software Engineer I
Rocket Lab Corporation
Long Beach, CA
Based on-site at Rocket Lab's Long Beach, CA facility, the AI Software Engineer will develop innovative AI solutions, deploy these systems company-wide, and seamlessly integrate them with…
Added 2 mins ago
RA
Senior Test Automation Engineer
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Remote, United States
- $150,000 to $185,000 USD / year
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Factory

Software Engineer, Federal

United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

ABOUT FACTORY

Our mission is to create a world where software builds and improves itself.

We build the platform for self-improving software development, helping the world's largest enterprise engineering teams turn their organizations into autonomous software factories. Customers including Nvidia, Blackstone, Royal Bank of Canada (RBC), Palo Alto Networks, Adobe, and T-Mobile run Factory to ship code, review PRs, run tests, and deploy continuously - getting smarter with every cycle.

In 2026, we raised $200M at a $5B valuation, bringing our total funding to over $400M. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).

ABOUT THE ROLE

Factory is looking for innovative Software Engineers to join our founding Federal team. You will build and evolve cutting-edge AI systems that transform how government software organizations accelerate their productivity and innovation. You will work directly with the Department of War, the Intelligence Community, and federal civilian agencies to bring Factory to secure, classified, and air-gapped environments, helping the nation's most critical software teams operate as autonomous software factories.

WHAT YOU WILL DO AND ACHIEVE

Innovate at the forefront of AI by designing, developing, and deploying AI-driven agentic systems that enhance Factory's core AI capabilities for federal missions
Deploy and harden the Factory Platform in secure government environments, including GovCloud, on-premises, classified, and fully air-gapped networks, so it runs with limited or no internet connectivity and with self-hosted or government-approved models
Build security and compliance into everything you ship, partnering with Security and Infrastructure to achieve and maintain authorizations such as FedRAMP High and DoD Impact Levels (IL5/IL6), including access controls, audit logging, and continuous monitoring
Build multi-layered guardrails, observability, and explainability into our agents so government users can trust, audit, and understand how an agent reached its output
Engage directly with federal customers, on-site when needed, to understand their missions and workflows, define requirements with stakeholders, and own delivery from first prototype to accepted production deployment
Integrate Factory with the tools government engineering teams already rely on, including on-premises source control, CI/CD pipelines, ticketing systems, and DoD software factories
Work with product, engineering, and Federal go-to-market teams to integrate emerging AI research findings into practical, mission-focused solutions
Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of government developers and program offices
Take the initiative in identifying and addressing product stability and scalability challenges, ensuring the Factory Platform reliably supports large-scale operational demands in high-consequence and resource-constrained environments
Lead the exploration and integration of large-scale data processing techniques to improve the reliability and effectiveness of our AI systems
Serve as the voice of the federal customer, bringing field insights back into Factory's core platform so that capabilities built for one mission become reusable across the public sector
Help build our Federal team from the ground up, partnering with leadership on technical proposals, capture strategy, and the product roadmap for our public sector business

QUALIFICATIONS

2+ years of hands-on experience in software engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas.
Self-motivated and autonomous, with a proven ability to navigate ambiguous projects from conception to impactful deployment, ideally as part of a founding team, a new initiative, or a forward-deployed engineering group.
Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, including to non-technical government stakeholders, coupled with a strategic mindset oriented towards innovation.
Comfort working directly with customers, including time on-site at customer locations.
A passion for public sector work and a belief in the potential of government institutions to deliver better outcomes through technology.
Experience deploying software in regulated or secure environments (e.g., AWS GovCloud, Azure Government, FedRAMP, DoD Impact Levels, or classified and air-gapped networks) is highly desirable, though not mandatory.
Familiarity with government work and its complexities, including procurement, compliance, and the accreditation (ATO) process, is a plus.
Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory.

Location:

We offer location flexibility for this role, with a preference for candidates based in our San Francisco, CA (HQ) or Washington, D.C. (remote).

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