Senior Engineer III - Robotics Systems

Job Area:

Denied Operations Division > GNSS-Denied

Domain:

Robotic Systems

What this Role Offers

Opportunity to lead the system architecture, integration, verification, and field acceptance of advanced autonomous flight systems.

End-to-end technical ownership across R&D algorithms, flight-control firmware, robotics software, embedded systems, and deployment.

Hands-on exposure to ground testing, flight testing, failure investigation, and real-world system validation.

Collaboration with Navigation, Sensor Fusion, GNC, Vision, Radar, CRPA, Avionics, Cybersecurity, and RF/EMI-EMC teams.

About the Role

The Senior Engineer - Robotic Systems Engineering role is a senior, hands-on position responsible for ensuring that independently developed technologies operate as a coherent, deployable, and field-validated system. The engineer will own system requirements, architecture, interfaces, integration strategy, verification planning, configuration baselines, and system-level technical acceptance.

The role connects specialized R&D, flight-control firmware, software, embedded systems and company-wide technical units, ensuring that independently developed capabilities become reliable, deployable products. This role is ideal for engineers who enjoy solving cross-disciplinary problems and taking complex systems from development to reliable field operation.

Key Responsibilities

Define and maintain system requirements, architecture, interfaces, operating concepts, and technical baselines.

Translate program objectives into measurable subsystem requirements, verification methods, and acceptance criteria.

Maintain relevant compute, timing, latency, bandwidth, power, thermal, and system-performance budgets.

Define integration, simulation, bench, HIL, ground test, and flight test strategies with the technical owners.

Lead technical reviews, trade studies, failure investigations, and cross-functional issue resolution.

Establish requirements to test traceability, approve system-level verification evidence, and release baselines.

Coordinate interfaces with Navigation, Sensor Fusion, GNC, Vision, Radar, CRPA, and Flight-Control Firmware teams.

Coordinate with Avionics, Cybersecurity, and RF/EMI-EMC units without duplicating their specialist ownership.

Own deployment plans, flight-test objectives, known system limitations, and technical acceptance criteria.

Mentor Systems Engineers working in Robotics Software, Software Platform, Robotics Integration, and Embedded Software.

Communicate technical risks, evidence, decisions, and system status to management and Program Management.

Minimum Qualifications

Bachelor’s, Master’s or PhD degree in Robotics/Mechatronics, Electrical/Electronics Engineering, Engineering Design, or Aerospace Engineering

6+ years (Bachelor’s) or 5+ years (Master’s) or 1+ years (PhD) or more years of industrial experience in systems engineering and integration affiliated to aerospace, UAVs, robotics, or complex embedded products; demonstrated architecture ownership and technical depth are more important than a strict year count

Demonstrated experience owning a complete system or major subsystem from requirements through integration and field validation

Strong understanding of requirements engineering, interface management, verification, configuration control, and technical risk management

Strong log analysis, debugging, root-cause investigation, and technical decision-making skills.

Strong technical writing, review, mentoring, and stakeholder communication skills

Experience in either of the following: vision-aided navigation, radar-aided navigation, GNSS-Denied PNT solutions, or RF-based localization in mobile robots

Hands-on experience with industrial machine-vision cameras, IMU/INS, embedded computers, microcontrollers, TOF sensors, and 3D LiDAR

Experience working with ArduPilot/PX4, ROS/ROS2, MAVLink, Mission Planner or QGroundControl

Experience working on timing and synchronization in embedded systems

Application knowledge of Linear Algebra, Probability, and Statistics in robotics

Preferred Qualifications

Application knowledge of time-series analysis

Technical depth in model-based systems engineering and system identification

Working knowledge of antennas, GNSS receivers, and RF spectrum

Experience with SIL/HIL simulation, automated regression, flight-test planning, and incident investigation

Experience in multi-agent systems and dynamic game theory

Experience in V2X, energy optimization, and electronic circuits

Familiarity with safety analysis, failure modes, degraded operations, or qualification of airborne/robotic systems

Experience leading multidisciplinary engineering teams in a startup or fast-moving product environment

Additional Considerations for PhD Graduates

Candidates with a PhD may be considered for an enhanced designation or role variant (e.g., Lead Engineer) based on:

Depth of thesis/research experience in robotics, UAV autonomy, control systems, state estimation, navigation and planning, or perception

Research internships or lab experience involving UAV testing and system integration

Ability to take ownership of specific subsystem modules or small projects early in their tenure

Strong publication track record (IEEE Transactions, IJJR, Science Robotics, ICRA, IROS, CoRL, CVPR, ECCV, JoFR)

Working Hours

Standard working hours are 9:30 AM to 6:30 PM, Monday to Friday

Field-testing activities may require early-morning or extended hours, depending on mission requirements

Compensation Range

Competitive compensation aligned with industry standards, including performance-based incentives

Exact salary ranges will be customised according to experience

Benefits

Comprehensive health insurance

Professional development support

Detachment allowance