Shield AI

1 month ago

Senior Software Engineer, Autonomous Pilot Integration

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Develop and integrate autonomy software for unmanned platforms, collaborating with cross-functional teams to deliver mission-critical functionality end-to-end—from software-in-the-loop to live test exercises, across air, maritime, space, or effects/expendables.

Location: Washington, San Diego, Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop autonomy software solutions and integrate them onto unmanned platforms, including payload computer bring-up, container-based deployment, and configuration across onboard compute, sensors, and command-and-control interfaces.
•Collaborate with the Autonomy Capabilities and Perception teams, feature crews, and external partners to deliver mission-critical functionality on time.
•Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.
•Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.
•Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments; profile memory, CPU, and timing.

Travel: Medium travel

Pay and Benefits

Salary: USD 160,000 - 240,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key 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 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
•Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.
•Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
•Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, ActiveMQ).

Experience:5+ yearsUnmanned systemsAutonomyDefenseAerospace

Education:Bachelor's

Skills:CommunicationProblem-solvingLeadership

Tech Stack:C++PythonLinuxDDSActiveMQDockerKubernetesK3sK3dPX4ArduPilot

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

Senior Software Engineer, Autonomous Pilot Integration

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Washington, San Diego, Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Develop autonomy software solutions and integrate them onto unmanned platforms, including payload computer bring-up, container-based deployment, and configuration across onboard compute, sensors, and command-and-control interfaces.
•Collaborate with the Autonomy Capabilities and Perception teams, feature crews, and external partners to deliver mission-critical functionality on time.
•Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.
•Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.
•Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments; profile memory, CPU, and timing.

Travel: Medium travel

Pay and Benefits

Salary: USD 160,000 - 240,000 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key 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 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
•Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.
•Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
•Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, ActiveMQ).

Experience:5+ yearsUnmanned systemsAutonomyDefenseAerospace

Education:Bachelor's

Skills:CommunicationProblem-solvingLeadership

Tech Stack:C++PythonLinuxDDSActiveMQDockerKubernetesK3sK3dPX4ArduPilot

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