Shield AI

1 month ago

Manager of Engineering - Autonomous Pilot Integration - Emerging Domains (R5176)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead a team of autonomy engineers focusing on emerging-domain platforms (space, maritime, unmanned rotorcraft) from design through field delivery. Own hiring, mentorship, and technical direction, while standing up new autonomy programs, collaborating with platform teams, and maintaining engineering velocity in a dynamic, ambiguity-rich environment.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the Team — Manage an engineering team (typically 5–10 engineers spanning multiple emerging-domain efforts); 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 — often as the first autonomy engineering presence on the program. 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. Make sound technical and staffing decisions with incomplete information, communicate changes clearly to your team and stakeholders, and protect engineering velocity through churn.

Pay and Benefits

Salary: USD 220,000 - 330,000 annually

Equity and Bonus:Equity

Perks:Annual BonusEquity

Key Requirements

•BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, 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 (running 1:1s, performance reviews, hiring decisions, growth planning)
•Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers
•Track record of mentoring engineers and growing their technical skill and career trajectory

Experience:DefenseUnmanned systemsAutonomyAerospaceSpaceMaritime

Education:Master's

Skills:C++LinuxPythonDDSDockerARMCMakeConan

Tech Stack:C++LinuxPythonDDSDockerARMCMakeConan

Eligibility

Security Clearance:SECRET

Company Brief

Shield AI

Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn

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Shield AI

1 month ago

Manager of Engineering - Autonomous Pilot Integration - Emerging Domains (R5176)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the Team — Manage an engineering team (typically 5–10 engineers spanning multiple emerging-domain efforts); 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 — often as the first autonomy engineering presence on the program. 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. Make sound technical and staffing decisions with incomplete information, communicate changes clearly to your team and stakeholders, and protect engineering velocity through churn.

Pay and Benefits

Salary: USD 220,000 - 330,000 annually

Equity and Bonus:Equity

Perks:Annual BonusEquity

Key Requirements

•BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, 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 (running 1:1s, performance reviews, hiring decisions, growth planning)
•Demonstrated experience building or growing an engineering team — including interviewing, hiring, and onboarding new engineers
•Track record of mentoring engineers and growing their technical skill and career trajectory

Experience:DefenseUnmanned systemsAutonomyAerospaceSpaceMaritime

Education:Master's

Skills:C++LinuxPythonDDSDockerARMCMakeConan

Tech Stack:C++LinuxPythonDDSDockerARMCMakeConan

Eligibility

Security Clearance:SECRET

Company Brief

Shield AI

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn