YOUR MISSION

As a key member of the Applied Algorithms and Autonomy team, you will be responsible for developing and implementing True Anomaly’s autonomy roadmap. You will work with a talented cross-functional team to advance cutting-edge technology at the intersection of artificial intelligence, machine learning and classical optimization. This will involve executing across various areas including vehicle autonomy, mission planning, wargaming, threat implication and uncooperative RPO capabilities. You are a first principles engineer and will have ownership of the future of autonomy at True Anomaly.

RESPONSIBILITIES

Build the roadmap for integrating increased autonomy capability into the next generation of Jackal spacecraft and Mosaic ground software

Collaborate with cross-functional teams to translate requirements and stakeholder expectations into actionable strategies for autonomy implementation

Drive the autonomy architecture and design, implement, and verify robust algorithms that enable autonomous spacecraft planning, tasking, and decision-making

Test and verify your algorithms via statistical analysis, software testing, and hardware in the loop simulation

QUALIFICATIONS

Bachelor’s degree in computer science, robotics, or a similar discipline

Proficient in C/C++ and Python

Strong understanding of statistics, optimization, and reasoning under uncertainty

4+ years of experience with implementing algorithms for autonomous planning and decision-making deployed in real-world systems

Demonstrated ability to work in a multidisciplinary team and solve complex problems with first principles approaches

Passion for spaceflight and advancing capabilities related to space domain awareness and space security

Track record of solving complex problems in autonomy in a fast-moving team

PREFERRED SKILLS AND EXPERIENCE

Master’s or PhD in computer science, robotics, or a similar discipline

2+ years of professional experience writing high-reliability, production C/C++ code

Experience with edge computing and real-time processing constraints

Deep technical expertise in one or more of the following: convex optimization, dynamic programming, search algorithms, reinforcement learning, decision theory

COMPENSATION

• Base Salary: $220,000-$275,000

• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave

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

$55,000 — $100,000/year