
Real job — pulled straight from Shield AI’s careers page · Verified October 10, 2026 · No reposts.
Job description
Shield AI is hiring a Staff Autonomy Integration Engineer — a full-time, based in Bangalore role. Apply directly on Shield AI's careers page below.
Staff Autonomy Integration Engineer
Team: Engineering
Location: Bangalore
Commitment: International Office Entity
Workplace Type: onsite
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 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.
- 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.
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 government stakeholders during field events or technical reviews.
- Experience with UCI and OMS Standards.
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Frequently asked questions
What skills are required for Staff Autonomy Integration Engineer at Shield AI?
The required skills for Staff Autonomy Integration Engineer at Shield AI include: C++, Python, Linux, Agile.
What is the seniority level for Staff Autonomy Integration Engineer at Shield AI?
Staff Autonomy Integration Engineer at Shield AI is a Staff level position.
How do I apply for Staff Autonomy Integration Engineer at Shield AI?
You can view the full description and apply for Staff Autonomy Integration Engineer at Shield AI on EchoJobs: https://echojobs.io/job/shield-ai-staff-autonomy-integration-engineer-57jmw.