--- title: 'Perception Engineer - Multimodal & Embodied AI (R6022) at Shield AI' canonical: 'https://feeny.ai/job/perception-engineer-multimodal-embodied-ai-r6022-shield-ai-san-diego-bxd0bnmswxzg' type: 'job' last_seen: '2026-10-17' --- # Perception Engineer - Multimodal & Embodied AI (R6022) at Shield AI - **Company:** Shield AI - **Location:** San Diego, CA - **Compensation:** $165k–$300k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-03 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.lever.co/shieldai/8c213d66-730b-4604-91b1-97dca42a59e3 ## Job 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. What you'll do: - Evaluate emerging models and methods against representative sensor data and autonomy needs. - Build prototypes and experiments that reveal strengths, limitations, and practical deployment opportunities. - Combine learned and classical approaches to improve detection, tracking, geometric vision, or sensor fusion. - Optimize and integrate capabilities for edge deployment, contributing Python and C++ software with support from experienced product engineers. - Help deliver tested, documented capabilities and stay involved as other teams adopt them. Required qualifications: - A PhD in computer vision, machine learning (ML/DL), robotics, or a related field, or an equivalent record of advanced research and hands-on engineering. - Research depth in an area such as multimodal vision, visual foundation models, video understanding, open-vocabulary perception, or embodied learning. - Strong Python skills and experience with PyTorch or a comparable ML framework. - A thoughtful approach to experiments, evaluation data, and understanding why models fail. - Experience building substantial research software, an interest in developing production-quality C++, and a collaborative approach to solving problems. Preferred qualifications: - Experience bringing a research prototype into sustained use. - Experience with robotics, real sensors, temporal data, or multi-sensor perception. - Familiarity with vision-language models, vision-language-action models, or embodied AI. - Experience with C++, edge inference, or model optimization using tools such as ONNX, TensorRT, or CUDA. You don’t need to meet every preferred qualification or arrive as an expert C++ engineer. We welcome recent PhD graduates and early-career researchers, and we value technical depth, curiosity, and enthusiasm to transfer research to business value more than publication count alone. ## #LI-KC3 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ## About Shield AI ## Company Overview - **One-liner**: Shield AI builds AI pilots and autonomous systems for military aircraft to protect service members and civilians. - **Entity Type**: Private (Series G, venture-backed) - **Headquarters**: San Diego, California, United States - **Founded**: 2015 - **Founders**: Brandon Tseng, Ryan Tseng, Andrew Reiter ## Core Business - Primary industry/industries: Defense technology, artificial intelligence, autonomous systems, aerospace - Target customers: U.S. Department of Defense, allied nations’ military forces (B2G / Government) - Mission or purpose statement: “Protect service members and civilians with intelligent systems.” ## Products & Services - **Hivemind**: A combat‑tested, modular autonomy stack for aircraft – self‑driving technology for drones, jets, and helicopters. Includes path‑planning, mapping, state‑estimation, computer vision, and reinforcement learning. Type: Software (AI/autonomy). - **V‑BAT**: A vertical take‑off and landing (VTOL) unmanned aerial system (UAS) designed for persistent ISR and strike missions. Type: Hardware (drone). - **X‑BAT**: An advanced unmanned aircraft system with extended endurance and payload capacity, built for multi‑domain operations. Type: Hardware (drone). - **Hivemind Vision Systems**: Computer‑vision and sensor‑fusion capabilities integrated into Hivemind for GPS‑denied environments. Type: Software + sensors. - **Hivemind Enterprise**: A deployable version of Hivemind for third‑party platforms and commercial applications. Type: Software. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). Total funding raised: $3.6B (as of Series G in March 2026). - **Key Metric**: Annual Revenue ~$21.7M (estimated, private) | Total Funding $3.6B (including $2B Series G led by JP Morgan Chase and Advent International, March 2026). - **Notable Investors/Partners**: JP Morgan Chase, Advent International, Blackstone, Riot Ventures, SnowPoint Ventures, Disruptive (55+ investors total). Strategic partners include U.S. DoD and allied defense forces. - **Growth Signals**: Headcount grew 68.3% YoY to 1,283 employees; 338 active job postings (+57.2% YoY); operates in 5 countries (U.S., Australia, UAE, Norway, Ukraine); recent acquisitions of Sentient Vision Systems (2024), Heron Systems, MARTIN UAV. ## Competitive Advantages - **Combat‑proven autonomy**: Hivemind has been tested in live military operations, providing a first‑mover advantage in contested, GPS‑denied environments. - **Full‑stack integration**: Combines software (AI pilot), hardware (V‑BAT, X‑BAT), and sensor systems, creating a tightly integrated product ecosystem. - **Cross‑functional engineering culture**: Engineers work across AI, robotics, aerospace, and defense – not siloed – enabling rapid iteration and field deployment. - **Top talent pipeline**: Employees drawn from Lockheed Martin, Northrop Grumman, Raytheon, Amazon, Anduril, and other leading defense/tech firms. ## Strategic Focus - **Scale AI pilots across all domains**: Extend Hivemind from aircraft to ships, satellites, and ground vehicles (“every military asset”). - **International expansion**: Growing presence in Australia, Europe, and Middle East via mission autonomy centers and partnerships. - **Deepen autonomy stack**: Continued investment in reinforcement learning, simulation, and computer vision to maintain leadership in contested‑environment autonomy. ## Why Work Here - **Mission‑driven work**: Directly contribute to protecting service members and civilians with cutting‑edge AI and robotics. - **Cross‑functional teams**: Engineers collaborate across disciplines (AI, hardware, software, systems) on real‑world defense challenges. - **Benefits**: Excellent medical coverage, mental health EAP, paid parental leave, pet insurance, flexible work hours, gym discounts (SD) / on‑site gym (DC), free parking, competitive compensation, 401k with match, stock benefits. - **Work policy**: Flexible work hours; some offices (e.g., San Diego HQ, Arlington, DC) have on‑site facilities. Remote/hybrid options available depending on role. - **Growth trajectory**: Rapidly scaling (68% headcount growth) with hundreds of open roles across engineering, operations, and program management. ## Sources 1. [shield.ai/about](https://shield.ai/about/) 2. [shield.ai/careers](https://shield.ai/careers/) 3. [LinkedIn – Shield AI](https://www.linkedin.com/company/shield-ai) 4. [CBInsights – Shield AI](https://www.cbinsights.com/company/shield-ai) 5. [Lever – Shield AI Jobs](https://jobs.lever.co/shieldai) ## Other roles at Shield AI - [Engineer I, Mechanical (R6302)](https://feeny.ai/job/engineer-i-mechanical-r6302-shield-ai-seattle-75gdhfp3k8nt) — Seattle, WA - [Engineer I, Mechanical Hardware Test](https://feeny.ai/job/engineer-i-mechanical-hardware-test-shield-ai-seattle-009txzdn75eb) — Seattle, WA - [Senior Staff Engineer, Structural Analysis - Ranger (R6300)](https://feeny.ai/job/senior-staff-engineer-structural-analysis-ranger-r6300-shield-ai-seattle-p24f55m9654f) — Seattle, WA - [Staff Engineer, Fuel Systems - Ranger (R6299)](https://feeny.ai/job/staff-engineer-fuel-systems-ranger-r6299-shield-ai-seattle-66cbvba47hb6) — Seattle, WA - [Staff Engineer, Aircraft Configuration Design - Ranger (R6298)](https://feeny.ai/job/staff-engineer-aircraft-configuration-design-ranger-r6298-shield-ai-seattle-942h4whh3a76) — Seattle, WA - [Engineer II, Automated Test (R6288)](https://feeny.ai/job/engineer-ii-automated-test-r6288-shield-ai-san-mateo-9zrnhj6har1p) — San Mateo, CA - [Capture Manager - XBAT - USAF (R6205)](https://feeny.ai/job/capture-manager-xbat-usaf-r6205-shield-ai-remote-wk7cq4qwzr70) - [Manager, Infrastructure (R6154)](https://feeny.ai/job/manager-infrastructure-r6154-shield-ai-san-mateo-ak1zaxmkmbbf) — San Mateo, CA - [Senior Director, Deal Strategy Execution (R6259)](https://feeny.ai/job/senior-director-deal-strategy-execution-r6259-shield-ai-washington-jjc8weakxqa7) — Washington, DC - [Staff Engineer, Modelling and Simulation (R6248)](https://feeny.ai/job/staff-engineer-modelling-and-simulation-r6248-shield-ai-san-diego-xe9yvn3mf71x) — San Diego, CA