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Software Engineer, Agentic Systems

Anduril Industries

Costa Mesa · On-site Full-time Mid Level $191k – $253k/yr Yesterday

About the role

About

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI‑powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Anduril is developing and deploying an integrated system to make UxVs highly effective through the entire mission lifecycle. From fleet management, to mission planning, live execution, and integrations into other DOD systems, Lattice is enabling the military to fight at scale with robots across all domains. Anduril is leveraging AI across all aspects of this lifecycle to reduce the barrier to entry for new operators, and increase the scale at which operators can leverage Lattice.

Responsibilities

  • Design, implement, and evolve the means by which Agents interact with classical software systems.
  • Contribute to test and evaluation infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques to achieve best‑in‑class performance with frontier and edge‑deployed models.
  • Increase the performance and quality of agentic interaction patterns.
  • Expand the surface area by which Agents can interact with the overall Lattice system.

Required Qualifications

  • Demonstrated deep knowledge of the implementation and use of LLMs.
  • Experience integrating agents into classical systems.
  • Strong programming skills in Python or other core languages (Java, Go, etc.).
  • PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.

Preferred Qualifications

  • Experience with simulation or real‑world validation for autonomous vehicles.
  • Novel application track record and experience including first‑author publications, participation in peer‑reviewed conferences, contribution to open‑source projects, and demonstrated contribution to the ML and AI community.
  • Experience in multi‑modal sensor data processing (e.g., cameras, LiDAR, radar).
  • Familiarity with MLOps best practices, including model versioning and reproducible research pipelines.
  • Familiarity with C/C++ is a plus.
  • General software engineering experience solving motion planning or related robotics problems.

Salary Range

  • US: $191,000 — $253,000 USD (estimate based on compensation factors; actual offer may vary).

Benefits

Healthcare Benefits

  • US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
  • UK & AUS Roles: Full cost of medical insurance premiums covered for you and your dependents.
  • IE Roles: Annual contribution toward private health insurance for you and your dependents.

Additional Benefits

  • Income Protection: Life and disability insurance coverage for all employees.
  • Generous time off: Competitive PTO plans with a holiday hiatus in December; caregiver & wellness leave available.
  • Family Planning & Parenting Support: Coverage for fertility treatments (IVF, preservation), adoption, and gestational carriers, plus resources from planning to parenting.
  • Mental Health Resources: Free 24/7 mental health resources, including therapy and life coaching; additional work‑life services such as legal and financial support.
  • Professional Development: Annual reimbursement for professional development.
  • Commuter Benefits: Company‑funded commuter benefits based on region.
  • Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan

  • US Roles: Traditional 401(k), Roth, and after‑tax (mega backdoor Roth) options.
  • UK & IE Roles: Pension plan with employer match.
  • AUS Roles: Superannuation plan.

Requirements

  • Demonstrated deep knowledge of the implementation and use of LLM’s
  • Experience integrating agents into classical systems
  • Strong programming skills in Python or other core languages (Java, Go etc)
  • PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience

Responsibilities

  • Your Job is to design, implement, and evolve the means by which Agents interact with classical software systems
  • You will contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models
  • You will increase the performance and quality of agentic interaction patterns, and you will expand the surface area by which Agents can interact with the overall Lattice system
  • good to ship
  • Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage

Benefits

dental_coveragehealth_insurancepaid_time_off

Skills

AIC++GoJavaLattice OSLiDARLLMML OpsPythonradarsensor fusion

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