Shield AI

1 month ago

Staff Engineer, Software Autonomy Applications (R4962)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead development and deployment of Hivemind autonomy software across unmanned platforms (air/sea/land/space). Collaborate with product and engineering teams to integrate AI solutions at customer sites, provide training, and support complex technical queries while traveling to client sites (~30%).

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit and apply it to customer deployments.
•Develop AI and autonomy applications using Hivemind for unmanned platforms across air/sea/land/space and deploy Hivemind AI infrastructure at customer sites.
•Provide technical training to customers for their autonomy development efforts and assist in integrating Hivemind autonomy to their vehicles/platforms.
•Help customers debug software/API integration issues and collaborate with product/engineering teams to address feedback and improve products.
•Travel to and stay at customer sites as required (~30% travel).

Travel: Medium travel

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, or a related field.
•7+ years of industry experience.
•3+ years of experience in an integration/applications engineering role.
•3+ years of experience working in a startup environment.
•Strong proficiency in writing modern C++ code and intermediate proficiency in Python.

Experience:7+ yearsDefenseRoboticsAutonomyAerospace

Education:Bachelor's

Skills:CommunicationProblem-solvingTeam collaboration

Tech Stack:C++PythonHivemindSDK

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

Staff Engineer, Software Autonomy Applications (R4962)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit and apply it to customer deployments.
•Develop AI and autonomy applications using Hivemind for unmanned platforms across air/sea/land/space and deploy Hivemind AI infrastructure at customer sites.
•Provide technical training to customers for their autonomy development efforts and assist in integrating Hivemind autonomy to their vehicles/platforms.
•Help customers debug software/API integration issues and collaborate with product/engineering teams to address feedback and improve products.
•Travel to and stay at customer sites as required (~30% travel).

Travel: Medium travel

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, or a related field.
•7+ years of industry experience.
•3+ years of experience in an integration/applications engineering role.
•3+ years of experience working in a startup environment.
•Strong proficiency in writing modern C++ code and intermediate proficiency in Python.

Experience:7+ yearsDefenseRoboticsAutonomyAerospace

Education:Bachelor's

Skills:CommunicationProblem-solvingTeam collaboration

Tech Stack:C++PythonHivemindSDK

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