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
- Robust 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

📌 Senior Engineer III - Robotics Systems (Bengaluru)
🏢 Newspace
📍 Bengaluru