Senior UAS Autonomy Applications Engineer
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior UAS Autonomy Applications Engineer based in the United States.
This role focuses on advancing next-generation autonomous capabilities for unmanned aerial systems operating in mission-critical and safety-sensitive environments. You will design, develop, and deploy advanced autonomy software that directly influences aircraft behavior in real-world global operations.
The position combines deep algorithmic engineering with embedded systems development, requiring strong expertise in robotics, path planning, and optimization techniques.
You will take full ownership of autonomy use cases, from concept and design through testing and deployment on airborne platforms.
The work involves integrating AI-driven decision-making, sensor fusion, and real-time control within constrained onboard computing environments.
You will collaborate closely with engineering teams to ensure reliability, safety, and performance of mission systems.
This is a highly technical and impactful role for engineers who thrive in complex aerospace and autonomy challenges.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior UAS Autonomy Applications Engineer based in the United States.
This role focuses on advancing next-generation autonomous capabilities for unmanned aerial systems operating in mission-critical and safety-sensitive environments. You will design, develop, and deploy advanced autonomy software that directly influences aircraft behavior in real-world global operations.
The position combines deep algorithmic engineering with embedded systems development, requiring strong expertise in robotics, path planning, and optimization techniques.
You will take full ownership of autonomy use cases, from concept and design through testing and deployment on airborne platforms.
The work involves integrating AI-driven decision-making, sensor fusion, and real-time control within constrained onboard computing environments.
You will collaborate closely with engineering teams to ensure reliability, safety, and performance of mission systems.
This is a highly technical and impactful role for engineers who thrive in complex aerospace and autonomy challenges.
Accountabilities:
- Develop, implement, and optimize onboard autonomy software for UAS platforms, including integration with mission systems on embedded hardware such as NVIDIA Jetson.
- Design and deploy autonomous path planning, search, and decision-making algorithms for dynamic and uncertain operational environments.
- Build and enhance adaptive autonomy systems capable of responding to real-time environmental and mission changes.
- Process and integrate multi-sensor data streams to enable robust autonomous navigation and situational awareness.
- Apply machine learning and optimization techniques to improve autonomy performance, reliability, and efficiency.
- Own full lifecycle development of autonomy features, including design, implementation, testing, debugging, and deployment in safety-critical systems.
- Troubleshoot and resolve complex issues in embedded and real-time environments while ensuring compliance with performance and safety requirements.
- Maintain technical documentation, version control, and validation records for mission-critical and audit-ready software systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Robotics, or a related technical field.
- 5+ years of experience in aerospace autonomy, robotics, or mission-critical embedded software development.
- Strong proficiency in C++ and Python for embedded systems and algorithm development.
- Experience working in Linux environments and containerized workflows (e.g., Docker).
- Strong understanding of path planning, optimization algorithms, data structures, and software design patterns in constrained environments.
- Hands-on experience with embedded computing platforms such as NVIDIA Jetson or similar systems.
- Familiarity with real-world UAS or aerospace applications, ideally including operational or defense-related environments.
- Ability to independently own complex technical problems and deliver reliable solutions in high-stakes systems.
- Strong debugging, analytical, and systems-thinking skills.
- Competitive salary range of approximately $126,000–$159,000 annually (based on experience and location)
- 401(k) retirement plan with employer match
- Comprehensive medical, dental, and vision insurance coverage
- Paid time off and paid company holidays
- Health savings account (HSA) and flexible spending account (FSA) options
- Short-term and long-term disability coverage
- Critical illness and accident insurance plans
- Employee stock purchase program (ESPP)
- Exposure to advanced aerospace autonomy technologies and mission-critical systems
- Opportunity to work on real-world unmanned aerial systems deployed in global operations
- Highly technical environment focused on innovation in AI, autonomy, and embedded systems.