In this role, you will participate in the full software lifecycle , from design and implementation to deployment and long-term operation , and will collaborate with engineering teams to evolve release automation, improve tooling, and reduce manual steps in how we build and ship Temporal.

Key responsibilities include designing, building, and maintaining tools and systems that support release automation and deployment workflows, writing clean, reliable, and concurrent code that supports distributed systems, collaborating with cross-functional teams to understand and improve release quality and developer productivity, documenting technical designs, deployment practices, and operational procedures, and participating in small-team design reviews and contributing practical engineering solutions.

As a Senior Software Engineer, you will have the opportunity to explore new ways to use Temporal to power the release and deployment lifecycle, deepen your understanding of Temporal's architecture and service interactions, and experiment with new automation patterns, testing strategies, and workflow designs that increase release confidence.

To be successful in this role, you will need strong coding ability, especially in languages used at Temporal (e.g., Go, Java, or similar), a solid understanding of concurrency, distributed systems, and multi-threaded programming, experience contributing to backend systems, tooling, infrastructure, or developer workflows, a track record of solving moderately complex problems with reliable, maintainable solutions, and the ability to collaborate effectively in a remote, fast-paced environment.

Additionally, you will have familiarity with release automation concepts, CI/CD pipelines, build tools, or deployment orchestration, experience with cloud environments (AWS, GCP) and container tooling, and exposure to distributed systems orchestration, observability tooling, or platform engineering.

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As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts.

As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components.

You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms).

Embedded software development experience is a plus.

You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs.

Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization.

Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company.

This means you will get to directly contribute to the development of Anduril’s next-generation products and services.

So 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.

Key Responsibilities:

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.

• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.

• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.

• Support Anduril- and customer-funded R&D efforts.

• Participate in field experiments and technology demonstrations.

Requirements:

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.

• Proven software architecture and design skills.

• Ability to quickly understand and navigate complex systems and established codebases.

• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).

• Web app development (e.g., React, Angular, or Vue).

• Cloud development (e.g., AWS, Azure, or GCP).

• Data modeling and wrangling.

• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory).

• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).

• API development and integration (e.g., REST, GraphQL).

• Containerization technologies (e.g., Docker, Kubernetes).

• Software development on Linux and Windows.

• 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.

• Experience with Git version control, build tools, and CI/CD pipelines.

• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.

• 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.

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

Preferred Qualifications:

• BS in Computer Science, Engineering, or similar field.

• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).

• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).

• Mobile app development (e.g., iOS or Android).

• Embedded software development experience.

• Willingness to travel up to approximately 10% US

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You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services.

This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems.

If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

Key Responsibilities: Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain. Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability. Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points. Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

Requirements: Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field. 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language. Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation. Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar. Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity. Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL). Experience with Git version control, build tools, and CI/CD pipelines. Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing. 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. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance. 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.

Preferred Qualifications: Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field. Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques. Experience building and deploying applications to solve complex business or defense problems for customers. Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality. Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures. Experience with high-performance computing (HPC) environments or parallel programming. Familiarity with quantum hardware platforms and their unique characteristics. Prior experience in defense, aerospace, or related industries applying advanced technologies. Willingness to travel up to approximately 10%.

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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.

Key Responsibilities:

• 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.

Requirements:

• 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).

• 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%.

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Job Responsibilities

• Design, develop, and maintain scalable and performant web applications using modern frontend frameworks.
• Translate wireframes and mockups into responsive and accessible UI components.
• Collaborate with UI/UX designers to ensure consistent design language.
• Participate in requirement gathering, scope definition, and sprint planning.
• Write clean, maintainable, and testable code.
• Develop and maintain unit tests and E2E tests to ensure code reliability.
• Lead code reviews and drive continuous improvement of development practices.
• Plan and allocate resources effectively across multiple projects.
• Mentor junior engineers and foster a culture of technical excellence.
• Support CI/CD workflows and deployment processes.

Required Qualifications

• Proficient in HTML, CSS, JavaScript, and modern frontend development principles.
• Strong hands-on experience with Vue.js (preferably v3) and component-based architecture.
• Experience with Nuxt.js for building SSR and SPA applications.
• Familiarity with responsive design and mobile-first development.
• Skilled in CSS frameworks (e.g., Tailwind, Bootstrap) and pre-processors (SASS/LESS).
• Experience with build tools like Vite or Webpack.
• Establish best practices for code quality, testing, and deployment.
• Proficient in frontend testing frameworks such as Playwright and Vitest.
• Strong experience writing unit tests and E2E tests for frontend components and business logic.
• Understanding of Git, version control workflows, and CI/CD pipelines.
• Ability to plan, allocate, and manage engineering resources effectively across projects.
• Proven experience mentoring junior engineers and leading small teams.
• Strong communication skills in English and Mandarin.

Bonus Skills

• Experience with E2E testing frameworks (Playwright preferred).
• Familiarity with Agile methodologies.
• Knowledge of performance optimisation and SEO best practices.
• Familiarity with Google Analytics and Google Tag Manager.
• Understanding of Web Accessibility Initiative (WAI) standards.

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