Lead applied trajectory prediction and aircraft-response modeling for a safety-critical Run-Time Assurance product.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Lead development, tuning, and validation of TPA and recovery-behavior models using aircraft performance data, command-response assumptions, 3DOF/6DOF flyout concepts, wind effects, uncertainty bounds, and maneuver constraints.
Build Python-based analysis, simulation, HIL, and flight-test workflows to compare predicted versus observed aircraft behavior, identify model gaps, tune parameters, and maintain regression datasets.
Integrate and evaluate trajectory-prediction behavior through off-the-shelf or custom autopilot interfaces, including command modes, vehicle-state inputs, latency, mode transitions, control limits, and telemetry analysis.
Support hardware integration and flight-test campaigns across relevant platforms; help evolve trajectory-prediction and safety behaviors from single-aircraft use cases toward multi-agent collaborative CONOPS.
Produce algorithm handoff artifacts and contribute scoped C/C++ implementation, testing, and debugging as needed.
Design, develop, and integrate a safety-critical Run-Time Assurance (RTA) product for autonomous aircraft and platforms.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop, integrate, and test configurable Run-Time Assurance (RTA) components
Adapt reusable C++ safety capabilities into production runtime components
Implement real-time C++ code at the boundary between mission autonomy, high-assurance middleware, and flight-control interfaces
Integrate safety-critical software with aircraft hardware for HIL and flight-test campaigns
Strengthen engineering evidence through CI, static and dynamic analysis, code reviews, documentation, designs, ICDs, system models, test results, and traceability artifacts
Requirements
Bachelor’s degree in Computer Science or related field
Master’s degree in Computer Science or related field
Serve as a key contributor for the integration, verification, and flight test of Hivemind AI Pilot capabilities on Group 5 UAS/Autonomous Collaborative Platforms (ACP).
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop and execute detailed integration and flight test plans that support the overall program verification and test strategy across simulation, SIL, HIL, ground, and flight test environments.
Coordinate readiness of simulation environments, integration laboratories, aircraft, and flight test assets required to execute program objectives.
Apply aviation knowledge, aircraft performance and operational mission understanding to develop safe, efficient, and operationally relevant integration and flight test plans.
Define test objectives, performance metrics, and success criteria, ensuring traceability from requirements to test outcomes and operational capability.
Lead and support aircraft integration and flight test activities, including system configuration, software integration, mission planning, real-time troubleshooting, flight execution support, and post-flight data analysis.
Requirements
Bachelor’s degree
Master’s degree
Nice to have: Military aviation experience
Nice to have: aircrew
Nice to have: flight test engineer
Skills
Senior Engineer, System Integration Test
f7d8749a-72d6-407c-bf98-292ea630c73a · Posted Oct 2, 2026
Lead a multidisciplinary engineering team responsible for defining verification strategies, building automated validation capabilities, and establishing software readiness standards across a diverse portfolio of autonomy programs.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Lead and grow a team of Software Test & Automation Engineers
Define verification and validation strategies spanning simulation, SIL, HIL, VIL, and operational test environments
Drive the development of automated regression testing, validation frameworks, and test infrastructure
Establish software readiness criteria, quality gates, and objective performance metrics
Partner with Digital Infrastructure to integrate automated validation into CI/CD pipelines
The Hivemind Solutions Test Department is seeking an Engineer II (Software & Simulation Focus) to validate the reliability, safety, and performance of autonomy software through simulation-driven testing, automation, and software quality efforts.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases
Identify, reproduce, and diagnose software issues—collaborating closely with development teams to drive fixes and improvements
Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met
Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance
Build tools and utilities in Python to automate testing, data processing, and analysis workflows
Design and develop automated test infrastructure, execute system-level verification activities, analyze software performance, and build tooling that enables continuous validation throughout the development lifecycle.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Design, develop, and maintain automated test frameworks, validation tooling, and test infrastructure supporting autonomy software.
Develop and execute verification and validation strategies across simulation, SIL, HIL, VIL, and representative system environments.
Build automated regression, integration, functional, and performance test suites that improve software quality and deployment confidence.
Develop Python-based automation, test harnesses, and analysis tools that reduce manual testing effort and improve repeatability.
Analyze test results, identify software defects and integration issues, and support cross-functional root cause investigations.
Requirements
BS in Computer Science, Aerospace, Electrical, Mechanical Engineering or related field
Nice to have: flight control systems such as ArduPilot or PX4
Lead system‑level integration and flight test campaigns for Hivemind Mission Autonomy across small UAS and external platforms.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Lead system‑level integration and flight test campaigns for Hivemind Mission Autonomy across small UAS and external platforms.
Develop and execute test strategies, plans, scenarios, and success criteria that validate autonomy capabilities, software integrations, system performance, and operational customer workflows.
Own test readiness and phase‑gate decisions across simulation, SIL, HIL, ground, and flight testing, including entry and exit criteria, configuration control, and objective prioritization.
Plan, direct, and execute fly–fix–fly campaigns, coordinating cross‑functional engineering teams and test operators to enable rapid, disciplined iteration.
Approve test procedures, test cards, and execution plans; lead risk assessments, hazard analyses, and mitigation planning while serving as the final authority during test conduct.
Lead end-to-end technical integration, verification, and operational test of Hivemind AI Pilot capabilities on group 5 UAS/Autonomous Collaborative Platforms.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Act as Test Leader and technical lead for integration and flight test of Hivemind autonomy on group 5 ACP systems
Own test strategy and execution across the full development lifecycle
Plan and execute large-scale flight test campaigns
Serve as the final authority during mission autonomy test operations
Coordinate cross-functional execution across software, hardware, systems engineering, flight operations, safety, and program leadership teams
Staff EngineerNewf7d8749a-72d6-407c-bf98-292ea630c73a · San Diego, US