Job Description
Are you ready to define the trajectory of humanity's next giant leap? Aether Dynamics is seeking a visionary Senior AI & Propulsion Architect to lead our core engineering initiatives for the 2026 orbital mission. In this pivotal role, you will bridge the gap between advanced artificial intelligence and high-fidelity propulsion systems to create a safer, smarter future for space travel.
We are looking for a technical leader who thrives in a fast-paced environment and is passionate about solving complex problems at the intersection of software and hardware. You will be responsible for architecting the neural control systems that power our next-generation spacecraft, ensuring they meet the rigorous demands of deep-space exploration.
Responsibilities
- Lead the architectural design and implementation of next-generation propulsion control systems utilizing AI and machine learning.
- Develop and deploy autonomous algorithms for trajectory optimization and real-time thrust vectoring.
- Define and execute the technical roadmap for the 2026 mission milestones, collaborating with product leadership.
- Conduct rigorous testing, validation, and simulation of propulsion hardware and software integration.
- Mentor a team of elite engineers and foster a culture of innovation, safety, and excellence.
- Collaborate with cross-functional teams including astrophysicists, data scientists, and systems engineers.
- Document complex technical specifications and present architectural decisions to executive stakeholders.
Qualifications
- Master’s or Ph.D. in Aerospace Engineering, Computer Science, or a related technical field.
- Minimum of 7 years of experience in propulsion systems or AI/ML in high-stakes environments.
- Expert proficiency in Python, C++, and simulation tools such as MATLAB, ANSYS, or ROS.
- Proven track record of leading complex engineering projects from concept to successful deployment.
- Strong understanding of orbital mechanics, control theory, and spacecraft dynamics.
- Excellent communication skills and ability to translate technical concepts for non-technical audiences.
- Experience with cloud-based infrastructure and large-scale data processing pipelines.