Shield AI
Perception Engineer - Multimodal & Embodied AI (R6022)
San Diego, CA · On-site · Unspecified
- Discipline
- Systems
- Industry
- Defense
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Hivemind Enterprise Division
Perception Engineer position focused on multimodal perception, embodied AI, and deployment on autonomous aircraft/vehicles. Role involves evaluating ideas, prototyping, and integrating perception methods for edge robotics within Shield AI’s Hivemind and related systems.
Required
- multimodal computer vision
- embodied AI
- edge robotics
- sensor integration
- Hivemind product
- prototype development
- hardware-software co-design
Preferred
- edge computing
- autonomy software
- vision foundation models
- prototyping on real hardware
- robotics perception
- sensor fusion
Employer description
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.
Job Description:
Bring promising AI research into autonomous systems that operate in the real world. Shield AI’s Perception team is looking for an engineer who enjoys exploring new ideas and making them work on real hardware. You’ll help turn advances in multimodal computer vision, visual foundation models, and embodied AI into useful capabilities for autonomous aircraft and vehicles.
Working alongside researchers and autonomy engineers, you’ll evaluate promising approaches, build prototypes, and carry successful ideas into the Hivemind product. You’ll combine learned methods with established perception techniques, working through the sensor, software, and compute challenges that make edge robotics different from a benchmark.
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