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

Posted 2 Days Ago
Be an Early Applicant
San Diego, CA
188K-281K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Our mission is to protect service members and civilians with intelligent systems.
The Role
As the Engineering Manager for the Hivemind Pilot team, you will lead a group of software engineers in developing algorithms for task assignment and executive reasoning. Your role involves managing the software development lifecycle, mentoring the team, strategic planning, and ensuring best practices in software development are followed. You'll collaborate on technical roadmaps and oversee cloud infrastructure with a focus on containerization.
Summary Generated by Built In

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. 

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

#L5



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. 

Top Skills

C++
Python
The Company
HQ: San Diego, CA
750 Employees
Hybrid Workplace
Year Founded: 2015

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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