Optimization Software Engineer

ABOUT THE TEAM
Anduril Labs is a multidisciplinary team of technologists solution architects engineers and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Andurils competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB
We are looking for a talented mid-level Software Engineer with a strong background in optimization to join our growing team at Anduril this role you will be instrumental in developing advanced algorithms and software solutions to tackle complex multi-domain optimization problems critical to national defense and Andurils autonomous systems.

The ideal candidate possesses deep expertise in classical optimization algorithms robust Python programming skills and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus. You will leverage state-of-the-art GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving a self-starter mentality and the ability to rapidly apply algorithmic theory and mathematic modeling to practical real-world optimization challenges. You will be designing implementing and deploying optimization algorithms and services that integrate seamlessly into larger defense systems working across various platforms (on-prem cloud and hybrid quantum computing environments). Familiarity with modeling linear and non-linear optimization problems rapid prototyping integrating optimization solutions into existing architectures leveraging APIs and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving love writing code excel as both an individual contributor and team player are eager to learn and bring a can-do attitude this role is for you.

WHAT YOULL DO

• Design develop and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation scheduling routing mission planning control systems and supply chain logistics.
• Apply classical optimization techniques (e.g. linear programming mixed-integer linear programming combinatorial optimization network flow dynamic programming heuristics metaheuristics) to model and explore novel approaches.
• Utilize GenAI tools (e.g. OpenAI Codes Claude Code GitHub Copilot) to rapidly prototype refine and test algorithmic solutions improving development velocity and code quality.
• Develop robust data models and efficient data pipelines to support complex optimization problems ensuring data integrity and efficient processing for algorithmic inputs and outputs.
• Collaborate with multidisciplinary teams (software engineers data scientists domain experts product managers) to integrate optimization engines and services into larger defense systems and platforms.
• Perform rigorous testing validation and performance analysis of optimization solutions ensuring scalability reliability and accuracy under diverse operational conditions.
• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment monitoring and maintenance.
• Support Anduril- and customer-funded R&D efforts contributing to technical documentation presentations and patent applications.

REQUIRED QUALIFICATIONS

• Bachelors degree in Computer Science Software Engineering Applied Mathematics Operations Research or a related quantitative field.
• 3 years of professional experience in software development with a dedicated focus on optimization algorithmic problem-solving or operations research.
• Experience solving optimization problems in defense transportation supply chain logistics network optimization smart grids or similar
• Expert proficiency in Python for scientific computing and robust software development.
• Strong theoretical and practical understanding of classical optimization algorithms (e.g. linear programming mixed-integer linear programming constraint programming network flow dynamic programming heuristics meta heuristics).
• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g. SciPy Optimize PuLP CVXPY Gurobi CPLEX OR-Tools GEKKO). Experience with Gurobi is a plus.
• Solid experience with data modeling data structures and algorithms to efficiently prepare process and manage data for optimization problems.
• Demonstrable hands-on experience using GenAI tools (e.g. OpenAI Codex Claude Code Gemini Code Assist GitHub Copilot Amazon CodeWhisperer or similar) for software development code generation debugging and algorithmic exploration.
• Proficiency in using numerical computing libraries such as NumPy SciPy and Pandas.
• Demonstrated understanding and application of software testing principles and practices including unit testing integration testing and end-to-end testing.
• Ability to develop test and deploy software effectively on Linux-based systems.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
• Experience with Git version control build tools and CI/CD pipelines.
• Strong problem-solving skills meticulous attention to detail and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills with the ability to effectively articulate complex technical concepts to diverse audiences.

PREFERRED QUALIFICATIONS

• • Masters or Ph.D. in Computer Science Applied Mathematics Operations Research or a closely related quantitative field.
  • Familiarity with or a strong interest in quantum optimization algorithms quantum computing concepts or quantum-inspired heuristic approaches. Experience with D-Waves quantum annealing platform is a plus.
  • Experience with performance-critical programming languages such as C or Java.
  • Experience with cloud platforms (e.g. AWS Azure GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.
  • Prior experience in defense aerospace logistics supply chain management robotics or manufacturing optimization domains.
  • Familiarity with integrating machine learning models with optimization techniques (e.g. prescriptive analytics reinforcement learning for optimization).
  • Excellent communication skills with the ability to articulate complex technical concepts present findings and influence technical direction across diverse teams.
  • Willingness to travel up to approximately 10%.

The salary range for this role is an estimate based on a wide range of compensation factors inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience education and/or training critical skills and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:

Healthcare Benefits

• US Roles:Comprehensive medical dental and vision plans at little to no cost to you.
• UK & AUS Roles:We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits

• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members bond with a new baby or address your own medical needs.
• 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.
• Mental Health Resources:Access free mental health resources 24/7 including therapy and life coaching. Additional work-life services such as legal and financial support are also available.
• Professional Development:Annual reimbursement for professional development
• Commuter Benefits:Company-funded commuter benefits based on your 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.

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

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