Shield AI

Senior Software Engineer, Autonomous Pilot Integration (R5423)

Shield AI$120K — $145K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or related field.
  • Minimum 2 years of related experience or appropriate practical experience from graduate studies.
  • Proficient in C++ and Python programming languages and familiar with real-time operating systems (RTOS).
  • Experience with Linux-based development and embedded systems diagnostics; skilled in shell scripting.
  • Knowledge of sensor integration and middleware frameworks such as ROS or DDS.
  • Hands-on experience with flight demonstrations or live exercises required.
  • Ability to obtain a SECRET clearance.

Responsibilities

  • Integrate autonomy software onto unmanned aircraft ensuring compatibility across systems.
  • Lead the configuration and validation processes for flight-ready unmanned systems.
  • Travel to support on-site flight tests, conducting safety checks and troubleshooting.
  • Diagnose and resolve integration issues across autonomy software and hardware systems.
  • Manage flight data collection during missions, analyzing results to improve system performance.
  • Collaborate with multiple teams to ensure timely delivery of mission-critical functionality.
  • Develop tools and processes to enhance integration timelines and team efficiency.

Benefits

  • Participation in a full-time regular employee offer package including pay, bonus, benefits, and equity.
  • Access to a temporary employee benefits package after 60 days of employment.
  • Opportunity to work on cutting-edge technology in an innovative field.
Full Job Description
This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test 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 Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most. What you'll do: • System Integration & Deployment - Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces. • Pre-flight Preparation - Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness. • On-site Flight Test Support - Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints. • Hardware/Software Debugging - Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments. • Flight Data Capture & Analysis - Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements. • Collaboration Across Teams - Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly. • Continuous Improvement - Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles. • Support Certification and Compliance - Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments. • Travel Requirement - Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events). 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 2 years of related experience with a Bachelor's degree; or completion of a Master's or PhD program with internship or equivalent practical experience preferred; or equivalent professional experience. • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS). • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS). • Hands-on experience supporting flight demos or live exercises. • 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. • Ability to obtain a SECRET clearance. Preferred Qualifications: • Direct experience supporting unmanned aerial systems or similar flight test campaigns. • Familiarity with autonomy stacks, flight control systems, or GNC pipelines. • Competence in sensor integration, electronics debugging, or avionics bring-up. • Proficiency in developing automation tools for system testing, logging, and data parsing. • Comfortable interfacing with DoD stakeholders during field events or technical reviews. • Experience with UCI and OMS Standards. #LI-ED1 #LC 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.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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