# Manager of Engineering - Autonomous Pilot Integration - Emerging Domains (R5176) **Company**: Shield AI **Work arrangement**: onsite **Experience**: senior **Job type**: full-time **Salary**: USD 220,000-330,000 per-year-salary **Category**: Engineering **Industry**: Technology **Apply**: https://jobs.lever.co/shieldai/3cecec97-d846-4fe0-914a-4a266f333db9?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_a5cf6e43-fd7 ## Description The Autonomous Pilot Integration team for emerging domains builds autonomy solutions for new platforms and mission profiles outside Shield AI's established portfolios , including space, maritime, and contested logistics. As the Manager of Engineering, you will lead a team of autonomy engineers tackling autonomy across Shield AI's emerging-domain efforts. Responsibilities: - Lead the Team , Manage an engineering team; own performance, growth, leveling, and delivery; run 1:1s, performance reviews, and team rituals. - Grow the Team via Hiring , Drive hiring for your area; identify the skills you need, partner with recruiting, run interviews, set the bar, and personally close strong candidates. - Grow Engineers Technically , Mentor engineers through hard problems; create stretch opportunities; give direct, actionable technical feedback; help engineers level up in both skill and impact. - Stand Up New Programs , Stand up autonomy on new platforms and missions; define what the autonomy stack looks like, decide what to build versus what to leverage from existing Shield AI capabilities, and set the technical direction for the effort. - Navigate Ambiguity & Shifting Priorities , Operate effectively in an environment where program shape, scope, and timeline often shift. - Develop & Field Autonomy , Develop & integrate autonomy software solutions onto emerging-domain platforms. - Technical Leadership , Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders. - Hands-on Technical Contribution , Stay active in the code; contribute directly where it serves the team. - Platform Team Partnerships , Build strong partnerships with each platform team that owns the underlying hardware. - Collaboration Across Teams & Partners , Act as a primary technical interface with the Autonomy Capabilities, Perception, and GCS teams, feature crews, and customer/program offices. - Design & Documentation , Drive design reviews, ICDs, and post-mortems for your area. - Pre-deployment Preparation , Own the build, configuration, and validation process for mission-ready systems. - On-site Test & Mission Support , Travel to test sites, customer exercises, and demonstrations to support live mission operations. - Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems. - Mission Data & Debrief Support , Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build. - Continuous Improvement , Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles. - C2 Interoperability & Standards , Own the interface contracts with C2 providers and drive compliance against common message and open-systems standards. - Grow R&D into Programs , Work with leadership and customers to evolve successful short-term R&D efforts into larger, longer-term programs. Requirements: - BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience. - Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. - 2+ years of direct people-management experience. - Demonstrated experience building or growing an engineering team. - Track record of mentoring engineers and growing their technical skill and career trajectory. - Demonstrated experience leading a small technical team or owning a major capability from design through field delivery. - Demonstrated ability to thrive in ambiguity. - Experience standing up autonomy on a new platform or for a new mission type. - Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders. - Direct experience with autonomous unmanned systems. - Strong proficiency in C++. - Proficiency in Linux-based development and experience working with embedded systems. - Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems. - Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems. - Experience with autonomy simulation environments for testing and validation. - Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack. - Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. - Ability to obtain a SECRET clearance. ## Skills ### Required - C++ - Linux-based development - embedded systems - autonomous unmanned systems - autonomy simulation environments - middleware - pub-sub - IPC frameworks - problem-solving - troubleshooting - optimization - communication - teamwork ### Nice to have - Python - experience across multiple unmanned-system domains - direct experience with autonomy for space platforms - maritime systems - rotorcraft - proficiency in Python for scripting - automation - analysis --- Source: [Apply at jobs.lever.co](https://jobs.lever.co/shieldai/3cecec97-d846-4fe0-914a-4a266f333db9?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)