Sr. Engineering Manager, Autonomy and Executive Reasoning (R2424)

San Diego Metro Area •

6 days ago

robot

AGI

python

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About Shield AI

Founded in 2015, Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. Its flagship autonomy software, Hivemind, powers aircraft, drones, and other platforms, enabling complex missions with high reliability in contested environments. With offices in San Diego, Dallas, Washington, D.C., and internationally, Shield AI’s products actively support U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn,Twitter, and Instagram.

The Hivemind Pilot Autonomy team is an agile group of engineers focused on developing state-of-the-art algorithms that drive intelligent and confidence-inspiring path planning while accounting for an uncertain and dynamic world. The team also builds an extensible framework for easily adding and adjusting custom reasoning and task assignment algorithms for specific platforms and missions.

As a Software Engineering Manager on the Hivemind Pilot, you will lead a team at the intersection of executive reasoning and task assignment. You will work closely with talented engineers to architect core systems, set standards for software engineering, drive strategic technical improvements, and mentor other engineers.

The Hivemind Pilot Autonomy team is an agile group of engineers focused on developing state-of-the-art algorithms that drive intelligent and confidence-inspiring path planning while accounting for an uncertain and dynamic world. The team also builds an extensible framework for easily adding and adjusting custom reasoning and task assignment algorithms for specific platforms and missions.

As a Software Engineering Manager on the Hivemind Pilot, you will lead a team at the intersection of executive reasoning and task assignment. 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 Engineering Manager for a team of autonomy and software engineers (e.g. career & technical mentorship, performance reviews, 1:1’s, etc.).

Work on systems related to task assignment, executive reasoning, multi-agent collaboration, operations research and integer optimization

Architect core systems that must be portable and scalable across different UAS platforms and compute architectures (including soft and hard real-time operating systems)

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.)

Lead and mentor the team through technical execution of work, roadmapping, sprint/agile processes, software best practices, experimental analyses, removing blockers, etc.

Grow the team by identifying skill and capacity shortages, then generating and executing to hiring plans

Collaborate with our engineers, program, and product managers to define a technical roadmap for future autonomy solutions

Required qualifications:

M.S in operations research, electrical engineering, computer science, aerospace or related engineering field

9+ years of experience in engineering autonomous systems or equivalent engineering roles

3+ years of people leadership experience leading teams of 4+ people

Proficient in managing software development lifecycle (SDLC)

Track record of shipping commercial products in the robotics/autonomy industry

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

Preferred qualifications:

Experience in the autonomous vehicle industry

Ph.D. in operations research, electrical engineering, computer science, or related engineering field

Knowledge of Python

Experience leading a team that shipped commercial grade products

Experience in productizing prototypes into commercial products

#LI-ED1 

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Total package details for U.S. based positions:

- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity

- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days

of employment)

- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity

Total package details for International positions which are roles based outside of the United States (where applicable):

- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer

allowance, equity, international benefits, visa assistance, and relocation assistance.

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

About Shield AI

Founded in 2015, Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. Its flagship autonomy software, Hivemind, powers aircraft, drones, and other platforms, enabling complex missions with high reliability in contested environments. With offices in San Diego, Dallas, Washington, D.C., and internationally, Shield AI’s products actively support U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn,Twitter, and Instagram.

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