Job Description
We are Aether 2026, a forward-thinking technology firm pioneering the next generation of autonomous AI and orbital logistics. We are looking for a visionary Senior AI & Space Systems Architect to join our elite engineering team and help shape the technological landscape of the future.
In this role, you will bridge the gap between deep learning algorithms and aerospace engineering. You will design the neural networks that power our autonomous drone swarms and optimize decision-making protocols for deep-space missions. If you are passionate about pushing the boundaries of what is possible and want to work on projects that define the year 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI research with a direct impact on real-world space applications.
- Competitive compensation package with equity options.
- Flexible remote-first policy with a hub in the heart of SF.
- Access to state-of-the-art hardware and computing resources.
Responsibilities
- Design, develop, and deploy scalable machine learning models for autonomous navigation and sensor fusion.
- Architect high-availability systems capable of processing real-time telemetry data from orbital assets.
- Collaborate with aerospace engineers to integrate AI components into hardware systems.
- Lead the R&D initiative for next-generation Natural Language Processing (NLP) interfaces for mission control.
- Mentor junior engineers and establish coding standards for the AI department.
- Conduct rigorous testing and validation of algorithms to ensure safety and efficacy in extreme environments.
Qualifications
- Master’s or PhD in Computer Science, Robotics, or a related field.
- Minimum of 5 years of professional experience in AI/ML engineering.
- Strong proficiency in Python, TensorFlow, PyTorch, and C++.
- Experience with deep learning frameworks and distributed computing systems.
- Proven track record of deploying models to production environments (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.