Remote Off Road Vehicle Testing Jobs in Seattle, WA

ABOUT THE TEAM

Anduril's CloudOS team is building a self-service platform that allows all containerized software stacks to be built once and deployed everywhere without manual interventions. The team's north star is to achieve zero-touch deployments. We measure our success by how many manual actions are required to operate every piece of software that Anduril ships. Our opportunity to re-define the way that software is written, shipped, and deployed mandates excellence across design, reliability, and speed in every engineering contribution.

ABOUT THE JOB

We are looking for a Software Engineer to join our rapidly growing team. In this role, you will be responsible for fully automating Lattice deployments between multi-cloud, on-prem and edge environments. You will design and implement self-service capabilities that streamline the creation and update process of Lattice. This will require you to work across multiple business lines inside of Anduril to understand what their workloads entail and to synthesize solutions that can be used by the entire company. If you're hands-on, think long-term, and are dedicated to delivering indispensable software platforms, this role is for you.

WHAT YOU'LL DO

• Build automation pipelines that respond to PR merges to automatically create Lattice stacks and ship software updates all the way from cloud to air-gapped edge nodes deployed remote corners of the world.
• Create a platform that lets everyday users run web apps without having to worry about the underlying infrastructure but also scales to allow power-users to have full control over their hardware.
• Collaborate with service teams and business lines to build applications that can run across all Lattice deployment environments.
• Ship automations that eliminate the manual toil associated with running complex migration operations.

REQUIRED QUALIFICATIONS

• 3-7 years working with a variety of programming languages such as Rust, Go, C++, Java, Python, JavaScript/TypeScript, etc.
• Have experience working with customers to deliver novel software capabilities
• Want to work on building and integrating model/software/hardware-in-the-loop components by leveraging first and third party technologies (related to simulation, data management, compute infrastructure, networking, and more)
• Love building platform and infrastructure tooling that enables other software engineers to scale their output
• Enjoy collaborating with team members and partners in the autonomy domain, and building technologies and processes which enable users to safely and rapidly develop and deploy autonomous systems at scale
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with industry standard cloud platforms (AWS, Azure), Kubernetes, CI/CD and GitOps tools, and software infrastructure fundamentals (networking, security, distributed systems)
• You've built or invented something: an app, a website, game, startup
• Previous experience working in an engineering setting: a startup (or startup-like environment), engineering school, etc. If you've succeeded in a low structure, high autonomy environment you'll succeed here!
• Professional software development lifecycle experience using tools such as version control, CICD systems, etc.
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node
• Experience building scalable backend software systems with various data storage and processing requirements
• Ability to quickly understand and navigate complex systems and established code bases
• Experience implementing robot or autonomous vehicle testing frameworks in a software-in-the-loop or hardware-in-the-loop (HITL) environment
• Experience with modern build and deployment tooling (e.g. Crossplane, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration