Senior Motion Control Optimization Engineer

Posted 23 Days Ago
Be an Early Applicant
176K-184K Annually
Senior level
Aerospace
The Role
Develop, test, and maintain optimization software for spacecraft operations, including trajectory modeling and control systems, ensuring robust performance.
Summary Generated by Built In

You are a software engineer with a deep understanding of kinematics, optimization, and control and want to put your knowledge to practice by creating robust code for the exquisite Albedo imaging satellite constellation. 

You will develop, test, and maintain software for optimization of spacecraft mission operations, including steering laws, mission planning optimization, constrained optimization, and optimal trajectory modeling during imaging events. 

Your Ideal Skills and Experience:

    • Experience with optimization-based solutions for guidance, navigation, and control 
    • Familiar with guidance, navigation, and control systems for spacecraft or aircraft (or similar) 
    • Familiar with quaternion kinematics 
    • Experience with Control Moment Gyro systems, including the principles of CMG steering and control laws 
    • Ability to develop robust, modular, maintainable, and testable code in  modern languages (Python, C++, Julia, etc) either manually or via auto-coding tools 
    • Experienced in *one or more* of the following: Advanced techniques for accurate short-term orbit prediction and extrapolation, including propagation, fitting/splining, and smoothing 
    • Optimal motion/trajectory planning for autonomous systems 
    • Software framework for flight control: schedulers, hardware drivers, sensor or actuator processing, fault detection, and state machines for mode control 
    • Demonstrated knowledge of the tools and processes used in developing software for real-time, deterministic, embedded control systems 
    • Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components

Desirable Skills or Experience:

    • Experience with pointing architecture or algorithms used on a scanning imaging satellite 
    • Experience with tuning feed-back and feed-ahead control algorithms via Bode, Nichols, Quantitative-feedback Theory (QFT), root locus, or phase-plane or related techniques 
    • Ability to design and implement FIR, discrete-sample-time filters 
    • Familiar with optimal control, MIMO system analysis and state space synthesis techniques 
    • Familiar with advanced distribution laws or inverse kinematics models 

Compensation and Benefits:

    • Employee friendly equity compensation
    • Asynchronous culture with flexible working hours
    • 4% direct matching 401k
    • Insurance: Medical, Vision, Dental, Mental Health
    • Parental leave and childcare coverage
    • Relocation bonus for moving to our Denver, CO HQ
    • Flexible vacation from day one
    • 10 company holidays and unlimited sick days
    • $100 monthly wellness benefit
    • Team retreats to build relationships in-person

Top Skills

C++
Julia
Python
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The Company
HQ: Austin, TX
21 Employees
On-site Workplace
Year Founded: 2020

What We Do

Albedo is developing low-flying satellites that will capture visible and thermal imagery at the highest resolution commercially available. By making aerial quality imagery globally available, easy to purchase, and transparent to task, we aim to catalyze market growth and spur new applications.

The world is rapidly changing and a new level of visibility and transparency is required to solve some of our largest problems. Albedo’s 10cm visible and 2m thermal imagery will fuel insights for industries such as mapping, insurance, utilities, solar, agriculture, carbon offsets, infrastructure sustainability, national security, and much more.

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