Senior Forward Deployed Engineer (5961)

Shield AI

London, United Kingdom

Hybrid

Who this role is best for

Aimed at mid-to-senior-level software engineers who can deploy AI infrastructure and collaborate with customers and product teams.

Best fit for

Candidates with experience deploying AI systems in defense or robotics contexts
— “Experience in the defense, aviation or robotics industry.”
Professionals who can translate complex technical knowledge into customer-facing training and support
— “Provide technical training to customers for their autonomy development efforts.”

Things to consider

Travel commitment is significant, with 30% of time spent at customer sites
— “Travel to customer sites as required (30% travel).”
Candidates must demonstrate both independent problem-solving and team collaboration
— “Collaborate with the product and engineering teams to address customer feedback and improve products.”

How to stand out

Highlight experience with C++ and Python in AI or autonomy contexts
— “Strong proficiency in writing modern C++ code.”
Emphasize any prior work in integrating software with physical systems or platforms
— “Assist customers in integrating Hivemind autonomy to their vehicles/platforms.”
Showcase ability to create and maintain technical documentation and training materials
— “Develop and maintain technical documentation and training materials.”
Demonstrate a track record of solving complex software/API integration issues
— “Help customers debug software/API integration issues.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

became an expert user of Hivemind Enterprise Autonomy Software Development Kit
deployed Hivemind AI infrastructure at customer sites
assisted customers in integrating Hivemind autonomy to their vehicles/platforms

Typical background

software engineering backgroundexperience in AI & Autonomy development

Skills & requirements

Required

C++PythonSoftware EngineeringAI & Autonomy DevelopmentTechnical Training

Preferred

Defense Industry ExperienceRobotics Industry Experience

Stack & domain

C++PythonAI & Autonomy ApplicationsHivemind Enterprise Autonomy Software Development KitTechnical TrainingSoftware/api IntegrationProblem-solvingAnalytical SkillsCommunicationInterpersonal SkillsDefenseAviationRobotics

About the role

Original posting from Shield AI via Lever

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
The Forward Deployed Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development.
What You'll Do:
Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit.
Develop AI & Autonomy applications using Hivemind for unmanned platforms across air/sea/land/space.
Deploy Hivemind AI infrastructure at customer sites.
Provide technical training to customers for their autonomy development efforts.
Assist customers in integrating Hivemind autonomy to their vehicles/platforms.
Help customers debug software/API integration issues.
Collaborate with the product and engineering teams to address customer feedback and improve products.
Develop and maintain technical documentation and training materials Assist the sales team in answering complex technical queries from customers.
Travel to customer sites as required (30% travel).
Required Qualifications:
Bachelor’s degree in Engineering, Computer Science, or a related field.
4+ years of experience of industry experience
Technical background in software engineering.
Strong proficiency in writing modern C++ code.
Intermediate proficiency in writing Python code.
Excellent problem-solving and analytical skills.
Strong communication and interpersonal skills.
Preferred Qualifications:
Experience in the defense, aviation or robotics industry.
Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

Source: Shield AI careers (Lever)