Job Description
Are you ready to define the technological landscape of 2026 and beyond?
Nebula Dynamics is at the forefront of the next space revolution. We are looking for a visionary Lead AI & Space Systems Architect to join our elite team in Austin, Texas. In this pivotal role, you will design the neural networks and computational frameworks that will power our autonomous orbital missions, ensuring we remain ahead of the curve in a rapidly evolving industry.
As a key architect, you will bridge the gap between advanced machine learning and aerospace engineering, creating robust systems that operate in the harshest environments known to humanity. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Join Nebula Dynamics?
- Work on projects that will define the future of humanity's presence in space.
- Competitive salary and equity package.
- Top-tier health, dental, and vision insurance.
- Unlimited PTO and remote-first flexibility.
- Access to cutting-edge hardware and cloud infrastructure.
Responsibilities
- Architect and implement scalable AI models for autonomous orbital navigation and data processing systems.
- Lead the technical roadmap and architectural decisions for the 2026 mission infrastructure.
- Design and optimize MLOps pipelines for deployment on edge computing environments in space.
- Collaborate cross-functionally with aerospace engineers to seamlessly integrate AI into hardware systems.
- Ensure system reliability, security, and performance under extreme conditions.
- Mentor and guide a team of junior data scientists and backend engineers.
- Stay abreast of the latest advancements in AI, quantum computing, and aerospace technology.
Qualifications
- Master’s degree in Computer Science, Aerospace Engineering, or a related technical field (PhD preferred).
- 10+ years of experience in software engineering, machine learning, or systems architecture.
- Expert proficiency in Python, C++, and deep learning frameworks (TensorFlow/PyTorch).
- Strong experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes).
- Deep understanding of distributed systems, high-availability architectures, and real-time processing.
- Proven track record of leading engineering teams in fast-paced, high-stakes environments.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.