Job Description
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the 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.
This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.
Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.
Required Qualifications:
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
- Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
- Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
- Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
- Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
- Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
- Proficiency with version control, debugging, and test-driven development in cross-functional teams.
- Ability to obtain a SECRET clearance.
Preferred Qualifications:
- Hands-on integration or algorithm development with airborne sensing systems.
- Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.
- Experience deploying perception software on SWaP-constrained platforms.
- Familiarity with validating perception systems during flight test events or operational environments.
- Understanding of sensing challenges in denied or degraded conditions.
- Exposure to perception applications across air, maritime, and ground platforms.
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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.
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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.
Requirements
Required Qualifications:
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
- Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
- Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
- Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
- Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
- Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
- Proficiency with version control, debugging, and test-driven development in cross-functional teams.
- Ability to obtain a SECRET clearance.
Preferred Qualifications:
- Hands-on integration or algorithm development with airborne sensing systems.
- Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.
- Experience deploying perception software on SWaP-constrained platforms.
- Familiarity with validating perception systems during flight test events or operational environments.
- Understanding of sensing challenges in denied or degraded conditions.
- Exposure to perception applications across air, maritime, and ground platforms.
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