Job Description
We are looking for a visionary Lead AI Engineer to spearhead the development of our flagship The 2026 Initiative. This is a rare opportunity to build the next generation of autonomous spacecraft navigation systems and predictive maintenance algorithms that will redefine space exploration. You will work at the intersection of deep learning, aerospace engineering, and quantum computing to solve humanity's most complex challenges in orbit.
Why join us?
At Orbital Horizon, we don't just send rockets; we send intelligence into the cosmos. You will receive a competitive compensation package, equity grants, and the chance to work with industry pioneers.
Responsibilities
- Architect and implement scalable machine learning models for autonomous spacecraft navigation and trajectory optimization.
- Lead the research and development of predictive maintenance systems to extend the lifespan of critical hardware components in low-earth orbit.
- Collaborate with aerospace engineers and data scientists to integrate AI models into flight software stacks.
- Optimize neural networks for real-time processing in resource-constrained environments.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Publish high-impact research papers in top-tier AI and aerospace conferences.
Qualifications
- Education: Master’s or PhD in Computer Science, Aerospace Engineering, Applied Mathematics, or a related field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or AI engineering.
- Technical Skills: Proficiency in Python, PyTorch or TensorFlow, and experience with distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Aerospace Knowledge: Understanding of orbital mechanics, flight dynamics, or space systems engineering is a significant plus.
- Problem Solving: Demonstrated ability to solve complex, high-stakes problems under tight deadlines.
- Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.