Advanced Design Aircraft Software Engineer Sr

• Design and implement advanced software features for flight deck user interfaces and automated/autonomous control systems.
• Develop AI/ML algorithms for perception decision-making and predictive analytics.
• Integrate computer vision and sensor fusion pipelines for enhanced situational awareness.
• Architect backend systems for CI/CD workflows data pipelines and ML model training.
• Collaborate with avionics systems engineering and IT teams to ensure robust integration.
• Support simulation integration and flight test activities to validate software in relevant environments.
• Participate in design reviews trade studies and technical planning for advanced software architectures.
• Write test document and review code according to industry best practices.

• 4 - 7 years of industry experience in software development for complex systems. Masters degree preferred.
• Ability to architect scalable backend systems for CI/CD and ML workflows.
• Bachelors degree in Computer Science Software Engineering or related technical discipline.
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.
• Experience with real-time systems and robotics middleware (ROS DDS).
• Experience with software design patterns modular architectures and API development.
• Hands-on experience with Linux and open-source development tools.
• Proficiency in Python and C for high-performance applications.
• Strong problem-solving skills and ability to debug complex distributed systems.
• Strong understanding of computer vision algorithms and sensor fusion techniques.

Preferred Qualifications

• Doctorate in Computer Science Aerospace or related field preferred.
• Experience developing aviation-certified software (DO-178C) or other safety-critical systems.
• Background in robotics automotive or industrial automation software development.
• Experience with computer vision libraries (OpenCV CUDA) and GPU optimization.
• Familiarity with cloud-based ML workflows and data pipeline architectures.
• Experience with CI/CD tools (Jenkins GitLab CI) and containerization (Docker Kubernetes).
• Knowledge of state machines behavior trees and task planning algorithms.
• Experience with multi-agent collaboration and human-machine interfaces.
• Startup or rapid development program experience.
• Pilots license or aviation experience is a plus.

Our Benefits: Cirrus provides a range of exciting benefits including:

• Comprehensive Health Coverage: Medical vision dental with additional dependent coverage options
• Employer-Paid Coverages: Group term life short- and long-term disability insurance
• Flexible Spending Accounts:FSA and HSA offerings with company contributions to HSA
• Well-being:Calm Health Employee Assistance Program and wellness incentives through medical provider
• 401(k) Plan: Dollar-for-dollar match up to 5% after 90 days with 100% vesting at 1 year of service
• PTO: Various PTO plans starting at 100 hours accrued within the first year
• Additional Time off Benefits: Paid holidays 2 weeks of Paid Parental leave paid time for funeral leave and jury duty
• Career Development: Tuition reimbursement program and professional growth opportunities
• Exclusive Discounts: Cirrus Store partner and marketplace discounts available
• Community & Engagement: Company and employee clubs at various locations

These benefits are designed to support your well-being growth and enjoyment at Cirrus!

Other Duties
Please note that this job description is not designed to cover or contain a comprehensive listing of activities duties or responsibilities that are required of the employee for this position. Duties responsibilities and activities may change at any time with or without notice. Work beyond 40 hours per week may be required.

Cirrus is dedicated to a drug-free work environment promoting equal employment opportunity. Qualified applicants will receive consideration for employment without regard to race sex national origin color age disability religion pregnancy veteran status marital and family status sexual orientation receipt of public assistance genetic information or any other characteristic protected by applicable law.