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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