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Senior Engineer, Autonomy Integration (R3157)

About Shield AI     

Founded in 2015, Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. Its flagship autonomy software, Hivemind, powers aircraft, drones, and other platforms, enabling complex missions with high reliability in contested environments. With offices in San Diego, Dallas, Washington, D.C., and internationally, Shield AI’s products actively support U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn,Twitter, and Instagram.   


We are seeking a skilled and motivated Autonomy Integration Engineer with 5+ years of experience to support the development, integration, and testing of autonomy algorithms for advanced aerospace, defense, and robotics systems. In this role, you will contribute to implementing and integrating innovative autonomy solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational requirements.


This position offers an exciting opportunity to apply your technical expertise in autonomy and system integration while growing your skills in a fast-paced and collaborative environment. You will work on cutting-edge projects that advance the capabilities of autonomous systems and ensure their seamless integration into real-world platforms.


What you'll do:
  • Autonomy Development: Assist in developing autonomy algorithms for path planning, decision-making, perception, and control to meet system performance and mission requirements.
  • System Integration: Support the integration of autonomy algorithms with platform hardware and software, including sensors, control systems, and communication interfaces.
  • Validation and Testing: Conduct simulation-based testing (HIL/SIL) and participate in live system tests to validate autonomy functionality and identify areas for improvement.
  • Collaboration: Work closely with software developers, systems engineers, and testing teams to ensure alignment of autonomy capabilities with overall system architecture and mission goals.
  • Optimization and Troubleshooting: Debug and optimize autonomy systems to enhance performance, reliability, and adaptability.
  • Documentation and Reporting: Contribute to technical documentation, test reports, and presentations for stakeholders and team members.
  • Innovation and Learning: Stay current on emerging trends and technologies in robotics, autonomy, and AI to incorporate best practices into development efforts.


Required Qualifications
  • Bachelor’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field (Master’s preferred).
  • 5+ years of experience developing and integrating autonomy algorithms in robotics, aerospace, or defense systems.
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.


Preferred Qualifications
  • Familiarity with open architecture standards (e.g., OMS/UCI or FACE) and regulatory standards (e.g., DO-178C)


$158,400 - $237,600 a year

Total package details for U.S. based positions:

- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity

- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days

of employment)

- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity


Total package details for International positions which are roles based outside of the United States (where applicable):

- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer

allowance, equity, international benefits, visa assistance, and relocation assistance.


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.


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. 

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CEO of Shield AI
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Ryan Tseng
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Average salary estimate

$198000 / YEARLY (est.)
min
max
$158400K
$237600K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Our mission is to protect service members and civilians with intelligent systems.

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Full-time, on-site
DATE POSTED
February 10, 2025

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