The Job:We are seeking an exceptional and innovative Controls Engineer to design, develop, and implement control systems for our unmanned aerial vehicles (UAVs). The ideal candidate will have a strong background in control theory and hands-on experience with UAV systems. Experience applying machine learning (ML) and deep learning (DL) to enhance autonomous navigation, path planning, and flight performance is a distinct advantage.
What You'll Do:- Flight Control System Design: Design, implement, and test advanced control algorithms for UAVs to ensure stability, maneuverability, and reliable performance.
- Modeling and Simulation: Create and maintain dynamic flight models for various UAV platforms to simulate and validate control strategies.
- Path Planning and Autonomy: Integrate path planning algorithms for autonomous navigation, obstacle avoidance, and optimal flight route generation.
- ML/DL Integration: Apply machine learning and deep learning techniques to enhance flight control and dynamic flight models.
- Embedded Systems: Develop and optimize robust, compute-constrained code for embedded systems, ensuring reliability and real-time performance.
- Hardware-in-the-Loop (HIL) Testing: Conduct comprehensive system testing, including Hardware-in-the-Loop simulations and flight testing, to validate control system performance.
- Troubleshooting and Optimization: Analyze flight data to troubleshoot system issues, optimize control parameters, and continuously improve overall performance.
- Collaboration: Work closely with cross-functional teams, including mechanical, software, and systems engineers, to deliver high-quality and reliable drone solutions.
What You Bring:- PhD or Masters in Mechanical Engineering, Aerospace Engineering, Computer Engineering, Robotics, or a related field.
- 2+ years of hands-on experience in control system design, modeling, and simulation.
- Strong proficiency in programming languages like C++ and Python.
- Familiarity with embedded systems and real-time operating systems
Bonus Points For:- Hands-on experience with UAVs, autopilots (e.g., PX4, ArduPilot, Betaflight), and sensor integration.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) for robotics or autonomous systems.
- Knowledge of computer vision principles and techniques.
- Familiarity with aviation regulations and safety protocols.
What We Offer:- Competitive Salary - Reflective of your skills and experience
- Equity Compensation - Be a part-owner in the company's future
- Comprehensive Health Coverage - Including medical, dental, and vision plans
- Health Savings Account (HSA) - Optional pre-tax savings for medical expenses
- Unlimited PTO - Flexible time off to recharge, plus paid company holidays
About UsSeneca is eliminating the $1 trillion threat of wildfire across 500 million acres with AI-powered autonomous drone systems. Imagine a world where firefighters can respond to a blaze in
under 6 minutes using autonomous suppression technology. That's the world Seneca is building. We're combining the deep expertise of
seasoned fire professionals with the innovation of
billion-dollar technology builders to create advanced systems that save lives, property, and natural resources.
This is more than a job-it's a mission to transform safety across 500 million acres. Whatever your background, if you're a builder, an innovator, or a problem-solver,
you belong here.Don't meet every single requirement? If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply - you may still be the right fit for our team.
