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True Anomaly

Manager, Advanced Algorithms, AI and Autonomy

Posted An Hour Ago
Be an Early Applicant
In-Office
2 Locations
175K-255K Annually
Senior level
In-Office
2 Locations
175K-255K Annually
Senior level
Lead the development and optimization of advanced spacecraft algorithms, manage a team, and collaborate on integrating algorithms into systems, ensuring safety and efficacy in space operations.
The summary above was generated by AI

A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering, manufacturing, and operational challenges for space security and sustainability.

OUR MISSION

The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all.

OUR VALUES

  • Be the offset. We create asymmetric advantages with creativity and ingenuity
  • What would it take? We challenge assumptions to deliver ambitious results
  • It’s the people. Our team is our competitive advantage and we are better together

YOUR MISSION

RESPONSIBILITIES

  • Lead the research, design, implementation, and optimization of advanced spacecraft algorithms including RPO, autonomous decision-making, state estimation, and computer vision. 
  • Develop and maintain the technical roadmap for autonomy and algorithmic capabilities in alignment with spacecraft program and mission objectives. 
  • Oversee rigorous algorithm verification and validation processes, including Monte-Carlo analysis, SIL/HIL testing, and scenario-based performance evaluation. 
  • Collaborate closely with GNC, avionics, flight software, simulation, and mission operations teams to ensure seamless integration of algorithms into spacecraft systems. 
  • Build, mentor, and manage a high-performing team of algorithm engineers specializing in estimation, control, CV/ML, and autonomy. 
  • Own the development and maintenance of modeling, simulation, and data infrastructure required for prototyping, training, and evaluating algorithmic solutions. 
  • Establish and enforce best practices for code quality, documentation, peer review, and reproducible research in safety-critical algorithm development. 
  • Assess emerging algorithmic and ML/AI techniques and guide the maturation of promising technologies into flight-ready capabilities. 
  • Translate mission and program requirements into clear algorithmic specifications and support technical reviews, audits, and flight certification milestones. 

QUALIFICATIONS

  • Bachelor’s degree in Aerospace Engineering, Computer Engineering, Robotics AI/ML or a related field (Masters preferred). 
  • 8–12+ years of experience in AI/ML, including hands-on work with embedded systems. 
  • Demonstrated experience leading technical teams and delivering complex algorithmic solutions for safety-critical or real-time embedded systems. 
  • Experience with Rendezvous & Proximity Operations (RPO) missions activities and the space environment.
  • Strong proficiency in numerical methods, optimization, probabilistic reasoning, and modern estimation techniques (e.g., EKF/UKF, nonlinear filtering). 
  • Hands-on expertise with simulation tools, modeling environments, and algorithm development in languages such as C++, Python, or MATLAB/Simulink. 
  • Proven ability to work cross-functionally with hardware, software, and mission teams to integrate algorithms into operational systems. 
  • Ability to obtain a security clearance (active clearance preferred).

COMPENSATION

  • Colorado Base Salary: $175,000-$240,000
  • California Base Salary: $180,000-$255,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

  • Work Location—this will be a fully onsite opportunity based out of either our Centennial, CO or Long Beach, CA offices.
  • Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite 

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.


Top Skills

C++
Matlab
Python
Simulink
HQ

True Anomaly Centennial, Colorado, USA Office

True Anomaly Engineering and Manufacturing Office

Located in the foothills of the Rocky Mountains, about 15 miles south of Downtown Denver, Centennial is the home of True Anomaly HQ. Centennial offers access to both big-city amenities and the country’s best outdoor recreation, a great public school system, and a range of neighborhood options.

True Anomaly Colorado Springs, Colorado, USA Office

True Anomaly Mission Operations Office

CO Springs offers the best of Rocky Mountain living with easy access to nature, hundreds of miles of trails, parks, and open spaces for hiking, biking, and climbing. Colorado Springs is consistently rated one of the best places to live in the US, offers affordability and amazing quality of life

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