Jobs at Scout AI (scoutco.ai)

Leads customer engineering for Scout AI’s defense-focused robotic foundation model. Advises customers on architecture, develops pilots and evaluation frameworks, leads technical workshops, supports deployments, and translates mission requirements into AI solutions. Builds and manages the customer engineering function, mentors engineers, documents implementation patterns, and contributes to product strategy. Requires production experience with foundation models, strong programming skills, customer-facing communication, and occasional travel.

Design and build software for robotic systems, focusing on perception, autonomy, control, and infrastructure. Collaborate across teams to enhance performance and reliability.

Design, build, and operate a secure, CUI-protecting network and infrastructure to achieve CMMC Level 2 compliance. Responsibilities include network segmentation per NIST SP 800-171, cloud and on-prem architecture, device and identity management, IaC automation, monitoring, incident response, and coordination with compliance for audits and System Security Plan maintenance.

Develop, debug, and validate low-level firmware and sensor drivers for embedded robotics platforms. Bring up IMU, camera, LiDAR, and environmental sensors, implement communication protocols (I2C/SPI/UART/CAN), collaborate on board bring-up, build validation tools/tests, troubleshoot hardware-software integration, and contribute to firmware architecture and documentation.

The Senior Program Manager will oversee government proposals and ensure effective execution of awarded defense contracts, collaborating with multiple departments.

As a SkillBridge Intern, you'll support testing and operations for autonomous systems, assist with vehicle maintenance, and collaborate cross-functionally in a fast-paced environment.

The Proposal Manager will oversee the end-to-end lifecycle of proposals, coordinating various teams to ensure compelling and compliant submissions across governmental and commercial opportunities.

Join the Fury Team as an AI Engineer to develop AI models for autonomous systems, designing architectures and integrating ML for real-time applications.

The AI Researcher will lead research in embodied intelligence for defense systems, focusing on reinforcement learning, vision-language modeling, and building scalable AI models for autonomous applications in real-world environments.

The role involves designing and deploying AI models for robotics, focusing on real-time perception, model integration, and enhancing autonomous systems in defense contexts.

The Full Stack Software Engineer will design, develop, and ship full-stack features, improving the software for AI-powered robotic systems. Responsibilities include backend and frontend application development, API design, and system architecture refinement.

Lead and conduct original research in embodied AI for autonomous systems, developing and evaluating large-scale perception, decision-making, and control models. Translate research into deployed prototypes, collaborate with engineering and field teams, support field tests and data collection, and define research strategy across reinforcement learning, vision-language-action, sim-to-real, memory, and multi-agent coordination.

Develop and deploy multimodal foundation models and agentic AI for multi-robot coordination. Design training recipes, curate datasets, build simulation and RL environments, evaluate performance, and integrate models into real-time robotic systems with field trials.