Menlo Ventures
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 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
Design and develop advanced AI, optimization, and machine learning infrastructure to support the company's autonomous systems
Research, develop, and implement game‑changing AI and optimization algorithms with the reliability and robustness required for space deployment
Collaborate with leadership to define and roadmap future autonomy capabilities aligned with company strategic objectives
Qualifications
Bachelor’s degree in computer science, robotics, aerospace or a similar discipline
Proficient in C/C++ and Python
Strong understanding of statistics, optimization, and reasoning under uncertainty
2+ 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
U.S. Citizen and eligible for DoD Secret or TS/SCI clearance
Preferred Skills and Experience
Master’s or PhD in computer science, robotics, aerospace 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
Background in Aerospace and Orbital Mechanics
Deep technical expertise in one or more of the following: convex optimization, dynamic programming, search algorithms, reinforcement learning, decision theory
Compensation
Colorado Base Salary:
$100,000 - $190,000
California Base Salary:
$115,000 - $200,000
Equity + Benefits:
including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Work will be performed in a location-based environment near Denver, CO or Long Beach, CA. The work environment may vary in terms of temperature, noise level, and indoor/outdoor conditions. Physical demands include bending, sitting, lifting, and driving as required by the position.
Legal and Export Compliance 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, 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.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI‑Hybrid
Equal Employment Opportunity 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.
#J-18808-Ljbffr
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 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
Design and develop advanced AI, optimization, and machine learning infrastructure to support the company's autonomous systems
Research, develop, and implement game‑changing AI and optimization algorithms with the reliability and robustness required for space deployment
Collaborate with leadership to define and roadmap future autonomy capabilities aligned with company strategic objectives
Qualifications
Bachelor’s degree in computer science, robotics, aerospace or a similar discipline
Proficient in C/C++ and Python
Strong understanding of statistics, optimization, and reasoning under uncertainty
2+ 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
U.S. Citizen and eligible for DoD Secret or TS/SCI clearance
Preferred Skills and Experience
Master’s or PhD in computer science, robotics, aerospace 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
Background in Aerospace and Orbital Mechanics
Deep technical expertise in one or more of the following: convex optimization, dynamic programming, search algorithms, reinforcement learning, decision theory
Compensation
Colorado Base Salary:
$100,000 - $190,000
California Base Salary:
$115,000 - $200,000
Equity + Benefits:
including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave
Work will be performed in a location-based environment near Denver, CO or Long Beach, CA. The work environment may vary in terms of temperature, noise level, and indoor/outdoor conditions. Physical demands include bending, sitting, lifting, and driving as required by the position.
Legal and Export Compliance 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, 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.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI‑Hybrid
Equal Employment Opportunity 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.
#J-18808-Ljbffr