Flight Control Lead (FCS / Autonomy / GCS / Mission Management) | General Aeronautics Pvt Ltd · Teeming.ai
General Aeronautics Pvt Ltd
General Aeronautics is India's first agriculture drone company delivering advanced aerial technologies focused on agriculture, UAV design, and healthcare. The company offers an integrated crop…
General Aeronautics is India's first agriculture drone company delivering advanced aerial technologies focused on agriculture, UAV design, and healthcare. The company offers an integrated crop…
Flight Control Lead (FCS / Autonomy / GCS / Mission Management)
On-SiteBengaluru, Karnataka, IN
On-Site • Bengaluru, Karnataka, IN
Role Overview
General Aeronautics is building advanced agricultural drone platforms focused on precision, reliability, and real-world scalability. We are at a high-growth stage where we are driving toward Product-Market Fit (
PMF
) and preparing to scale.We are looking for a Flight Control Lead to drive the development of our Flight Control System (
FCS
), autonomy stack, Ground Control Station (
GCS
) workflows, and mission management systems.This is a high-ownership role requiring deep technical capability, strong execution mindset, and the ability to build systems that are both innovative and operationally reliable, with a sharp focus on customer requirements and field usability. The role demands a leader who can move fast, solve ambiguous problems, and build flight autonomy that performs consistently in real farms and real conditions.
Key Responsibilities
Flight Control, Autonomy & Mission Management
Lead architecture and development of Flight Control System (
FCS
), autonomy, and
GCS
-driven mission execution for agricultural drones.
Own key autonomy capabilities including waypoint missions, path planning, geofencing, terrain following, precision mission execution, and fail-safe behaviors (RTL, hover, emergency landing).
Drive end-to-end integration of mission management with flight controller systems, including spray control logic, flow-rate management, pump/nozzle control, and mission-linked execution.
Ensure high standards of safety, reliability, robustness, and repeatability across real-world field operations.
Open Source Autopilot Ecosystem
Drive development using open-source autopilot ecosystems such as
PX4
/
ArduPilot
,
MAVLink
/
MAVSDK
, and
GCS
tools like
QGroundControl
/
Mission Planner
.
Customize, extend, debug, and optimize autopilot firmware to meet product and operational requirements.
GNC & Control Engineering
Apply strong fundamentals of Guidance, Navigation & Control (
GNC
) to improve flight stability and performance.
Lead tuning and optimization of controllers under varying payload, wind, and environmental conditions, including improvements in sensor fusion, estimation, and filtering.
Customer-Centric Product Engineering
Deeply understand customer workflows and translate requirements into flight system features and mission execution capabilities.
Work closely with field operations, support teams, and product stakeholders to ensure solutions are practical, scalable, and easy to deploy.
Use field data and customer feedback to continuously improve mission success rate, safety, uptime, and usability.
Innovation & Reliability Culture
Drive innovation while maintaining disciplined engineering practices that ensure high operational reliability.
Build robust testing, validation, and debugging frameworks including
SITL
/
HIL
workflows.
Establish strong diagnostics, logging, and performance monitoring processes to improve fleet reliability and reduce turnaround time for fixes.
Execution Ownership & Team Leadership
Take end-to-end ownership of flight autonomy deliverables — from requirements to deployment and field validation.
Mentor and guide engineers working on autonomy, embedded systems,
GCS
integration, and mission management.
Drive best practices in design reviews, documentation, release management, and engineering quality.
Collaborate with mechanical, electronics, cloud, and
AI
teams to deliver integrated product improvements.
Required Skills & Qualifications
Preferred Skills (Good to Have)
Tools & Modern Engineering Mindset
Comfortable using modern
AI
tools such as
ChatGPT
,
GitHub Copilot
,
Cursor
, etc. to accelerate engineering productivity.
Ability to apply
AI
tools responsibly while ensuring correctness, safety, and validation discipline.
Key Attributes
Strong passion for autonomy,
GNC
, and flight systems engineering.
High-energy execution mindset with a strong bias toward shipping outcomes, not just ideas.
Innovative mindset with a strong bias for reliability and field robustness.
Customer-first approach with ability to understand real operational requirements.
Strong communication skills and ability to lead cross-functional technical discussions.
Collaborative and team-oriented leadership style.
Ability to thrive in a
PMF
-stage environment with ambiguity, fast iteration cycles, and high ownership expectations.
What Success Looks Like
Reliable flight performance across varying payloads and harsh agricultural environments.
Autonomy features that improve safety, reduce pilot workload, and increase mission success.
Strong mission management integration ensuring consistent precision spraying and repeatability.
Scalable testing, diagnostics, and release frameworks enabling faster iteration cycles.
High customer satisfaction driven by stable, user-friendly and dependable systems.
Clear measurable improvements in field performance metrics such as uptime, mission completion rate, and incident reduction.
Why Join General Aeronautics
Opportunity to build autonomy and flight systems that operate in challenging real-world conditions.
High ownership role with direct impact on product performance and customer success.
Fast-paced environment where strong engineers shape the roadmap and ship quickly.
Work at the intersection of robotics, flight controls, mission execution, and real-world deployment.
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Bachelor’s/Master’s degree in Aerospace, Robotics, Mechanical, Electronics, Computer Science, or related field.
5+ years of experience in UAV flight control, autonomy, robotics, or related systems engineering.
Strong experience in
FCS
design, autonomy development, and real-world UAV deployment.
Strong knowledge of
PX4
/
ArduPilot
architecture and ecosystem.
Hands-on understanding of
MAVLink
communication, mission execution flows, and
GCS
integration.
Strong programming skills in
C/C++
(embedded/firmware) and
Python
(tools, scripting, analysis).
Strong debugging and problem-solving skills across hardware-software integrated systems.
Ability to drive flight testing, controller tuning, and root-cause analysis using logs and field data.
Strong ownership mindset with ability to operate effectively in fast-paced and ambiguous environments.
Experience in agricultural drones, spraying drones, or industrial UAV applications.
Familiarity with sensors and estimation systems (
IMU
,
GNSS/RTK
,
magnetometer
,
barometer
,
lidar/radar altimeter
).
Experience with simulation environments such as
SITL
,
Gazebo
,
jmavsim
, etc.
Knowledge of UAV safety engineering, fail-safe design, and reliability testing practices.
Exposure to
AI/ML
-driven autonomy concepts and intelligent mission planning systems.
Understanding of
Kalman filtering
and other state estimation algorithms.
Strong mathematical background in linear algebra, calculus, and statistical methods.
Proficient in
C/C++
(particularly on Linux based systems and memory-constrained embedded processors) and
Python
.