- Страна
- США
- Зарплата
- 132 000 $ – 198 000 $
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Optimization Software Engineer
Исключительная вакансия в ведущей оборонной технологической компании с высокой зарплатой, отличным пакетом льгот (включая опционы) и работой над передовыми технологиями.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубоких знаний в математической оптимизации, алгоритмах и теории графов, а также требованием допуска к секретной информации (Security Clearance).
Анализ зарплаты
Предлагаемый диапазон $132k–$198k полностью соответствует рыночным стандартам для инженеров среднего и старшего уровня в Вашингтоне, специализирующихся на Operations Research.
Сопроводительное письмо
I am writing to express my strong interest in the Optimization Software Engineer position at Anduril Labs. With over three years of experience in developing complex algorithmic solutions and a deep proficiency in Python, I have consistently focused on solving intricate resource allocation and scheduling problems. My background in classical optimization techniques, combined with hands-on experience using solvers like Gurobi and OR-Tools, aligns perfectly with your mission to enhance defense capabilities through advanced technology.
I am particularly excited about Anduril's forward-thinking approach to integrating GenAI tools like Claude Code into the development workflow. Having utilized similar AI-assisted coding platforms to accelerate prototyping and improve code quality, I am eager to bring this expertise to your multidisciplinary team. Furthermore, my interest in quantum-inspired heuristics and experience with data modeling for large-scale systems will allow me to contribute immediately to the Lattice OS ecosystem and the strategic goals of Anduril Labs.
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Присоединяйтесь к Anduril Labs и создавайте алгоритмы оптимизации нового поколения для национальной безопасности США!
Описание вакансии
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.
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 Anduril’s 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 Labs. In 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 Anduril’s 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 YOU’LL 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
- Bachelor's 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
- + Master's 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-Wave’s 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%.
US Salary Range
$132,000—$198,000 USD
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 Anduril's 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.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
- No Financial Requests:Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
+ Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
+ Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
- What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Git
- C++
- Python
- Linux
- NumPy
- Pandas
- CI/CD
- Data Modeling
- Optimization
- Algorithms
- SciPy
- Mixed-Integer Programming
- Gurobi
- OR-Tools
- Linear Programming
Возможные вопросы на собеседовании
Проверка фундаментальных знаний в области математического программирования.
В чем разница между линейным (LP) и смешанно-целочисленным программированием (MILP) с точки зрения вычислительной сложности?
Оценка практического опыта работы с инструментами, указанными в вакансии.
Расскажите о вашем опыте работы с Gurobi или OR-Tools: с какими самыми сложными ограничениями (constraints) вы сталкивались?
Вакансия делает акцент на использовании ИИ-инструментов для разработки.
Как вы используете GenAI (например, Claude Code или GitHub Copilot) для отладки сложных алгоритмических проблем, не допуская при этом галлюцинаций в коде?
Проверка навыков проектирования систем.
Как бы вы спроектировали масштабируемый конвейер данных для задачи оптимизации маршрутизации в реальном времени?
Оценка гибкости и интереса к новым технологиям.
Как вы подходите к выбору между классическим эвристическим алгоритмом и квантовым подходом для конкретной задачи оптимизации?
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- Страна
- США
- Зарплата
- 132 000 $ – 198 000 $