Engineering Manager, Task Planning (R2424) - Shield AI

Job Title: Engineering Manager, Task Planning (R2424)
Job Location: San Diego Metro Area
Job Listing URL: https://jobs.lever.co/shieldai/4db726ae-0b65-4114-a42c-4fbde3fae745
Job Description: Introduction to Shield AI
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.

The Planning and Controls (PAC) team is an agile group of engineers focused on Researching and developing state-of-the-art algorithms that drive intelligent and confidence-inspiring flight behaviors while accounting for an uncertain and dynamic world.

As a Software Engineering Manager in PAC, you will lead a team at the intersection of artificial intelligence, task & motion planning, and controls. You will work closely with talented engineers to architect core systems, set standards for software engineering, drive strategic technical improvements, and mentor other engineers.
What you'll do:
Serve as the functional team lead for the Mission West team
Research, design, and implement state of the art teaming algorithms for real time autonomous systems
Develop core systems that must be portable and scalable across different UAS
platforms and compute architectures
Work with our engineers, program, and product managers to define a technical roadmap for future autonomy solutions.
Work with our Hivemind Design team to design and build infrastructure for the PAC team that both supports local development and scales into the cloud
Work with soft or hard real-time operating systems
Work with and deploy our AI stack to edge devices
Work in collaboration with our DevOps teams to architect and maintain our cloud infrastructure, working with containerization technologies such as Docker and Kubernetes; assist with cross-platform builds and test orchestration, working with build tools (e.g. CMake, Bazel, etc.) and compiler tool chains (e.g. gcc, llvm, etc.)
Develop and grow your teammates through mentorship and training
Identify and bridge process gaps within your team
Projects you might work on:
Design and implement a Multi Agent Executive Manager for heterogeneous teams
Port PAC libraries to EdgeOS, a Shield AI Middleware framework, that enables portability of PAC libraries to multiple platforms and compute architectures
Design and implement an analysis and simulation framework that: enables testing of various components in isolation or in a fully integrated manner; supports parameter sweeps; supports hardware-in-the-loop
Required qualifications:
5+ years of experience in Software Engineering, or equivalent engineering roles
2+ years of people leadership experience with teams of 4 or more people
Have shipped production code for at least 1 commercial product
BS in computer science or related engineering field
Proficient with C++ 11 or newer in a production environment
Experience in a collaborative development environment, focused on continuous integration/delivery & test-driven development
Strong knowledge of modern software engineering best practices
Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others
Strong organizational skills