The Aircraft Software Test & Automation team is an ambitious, driven group of engineers focused on testing complex aircraft software integrated onto vehicles and various hardware systems. The team is a cross-discipline group of test engineers, software developers, integration experts, and more; working closely with our Embedded, GNC (Guidance, Navigation & Controls), and System Test teams, the Software Test & Automation team is chartered to provide (1) rigorous, but fast testing and (2) an advanced, robust development & test infrastructure for all aircraft software. Shield AI is building groundbreaking autonomous aircraft technologies, this team provides the complex testing & innovative capabilities required to get us there.
As a DevOps engineer on STA, you will design and implement engineering centric automation across the Aircraft Software department. You will represent our Aircraft Software teams and our needs, working closely with Shield AI’s Developer Experience team to implement best practices, policies, & guidelines into the continuous integration and delivery systems of all aircraft software.
This role requires you to be very hands on and contribute to discussions with cross-functional teams across Aircraft Engineering. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time. You will build the infrastructure and tools required to assure rapid development & rigorous testing, working towards the release engineering capabilities required to automatically deploy production software to entire fleet of aircraft.
WHAT YOU'LL DO:
- Own the Aircraft Software CI/CD system, engaging with autonomy engineers, embedded developers, and the Developer Experience team daily to support as needed.
- Build and maintain the capability to run simulation software tests in a container within in a cloud environment, scale the ability to orchestrate testing across a cluster of containers
- Manage and own the monitoring tool stack, focusing on build infrastructure metrics.
- Manage and own internal build containers used by all of Aircraft Engineering.
- Support Autonomy/GNC/Embedded engineers with build issues and educate on best practices.
- Manage and own the performance, maintenance, and administration of Hivemind enterprise infrastructure including Azure DevOps, Artifactory, Containers, K8s, etc.
- Build & maintain CI/CD pipelines that interacts with Hardware-in-the-loop (HIL) test solutions in order to qualify and stage software for release within staging and production environments
- Work closely with the Developer Experience team to improve engineer efficiency.
- Create & maintain thorough documentation of software infrastructure designs and development practices, adhering the Aircraft Software department to best practices and appropriate industry standards.
- Manage timelines and resources for projects, ensuring deliverables are achieved on time and within budget.
REQUIRED QUALIFICATIONS:
- BS in computer science or related engineering field with 5-7+ years of professional experience
- Experience with configuration management tools (Makefile, CMake, Conan, Poetry, etc.)
- Excellent demonstrated proficiency in continuous integration/delivery tools (e.g. Github Actions, Jenkins, Azure DevOps, etc.)
- Strong knowledge with container technologies (Docker, Podman, etc.) and orchestration across cloud environments (Kubernetes, AWS, etc)
- Strong knowledge of APIs, web services, and identity access management
- Strong knowledge of scripting languages (Bash, Python, PowerShell)
- Strong knowledge of Git
- Strong knowledge of monitoring tools (Grafana, Data Dog, Splunk, Prometheus, ELK, etc.)
- Strong system administration in Linux (w/ Windows a bonus)
- Knowledge of security best practices in software development and infrastructure management.
- Strong desire to learn and grow on the job
- Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes
- Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment
PREFERRED QUALIFICATIONS:
- Experience building containers and pipelines that run software tests with simulation
- Experience with Hardware in the Loop build/deploy/test systems.
- Experience with automating infrastructure setup and configuration management (Terraform, Ansible, etc.)
- Experience with a compiled programming language (e.g. C, C++, Rust, Go) in a production environment.
- Experience with build management for embedded systems or real-time operating systems.
- Experience owning build or CI/CD infrastructure.
- Experience with Conan Package management and NVIDIA® Jetson products
- Proficiency in network configurations, and database management.
- Experience with autonomous vehicles, robotic, or aircraft product development
Top Skills
What We Do
Shield AI is building the world's best AI pilot. Our Hivemind autonomy stack is the first and only autonomous AI Pilot, deployed in combat since 2018. Hivemind enables intelligent teams of aircraft to perform missions ranging from room clearance, to penetrating air defense systems, and dogfighting F-16s.
Why Work With Us
What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.
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