USAAutonomy Engineer, Ops Research (Senior - Principal)
1 нед. назад
USALead
optimizationmachine learningartificial intelligencealgorithm design
Design and develop core autonomy capabilities involving AI, ML, and optimization for space superiority missions.
Обязанности
- Design, implement, and validate optimization algorithms for fleet-level mission planning, resource allocation, and sequential decision-making under uncertainty
- Contribute to system architecture for large-scale distributed optimization problems, informed by statistical modeling, simulation-based analysis, and operational constraints
- Collaborate with cross-functional teams to formalize stakeholder requirements into mathematical programs and deploy scalable solutions
- Tune and validate optimization models through simulation, hardware-in-the-loop testing, and operational deployment
- Develop production-quality implementations with rigorous documentation and testing
Требования
- Bachelor's degree in operations research, applied mathematics, computer science, aerospace engineering, electrical engineering, or related quantitative discipline
- Proficient in C/C++ and Python for implementing optimization solvers and numerical methods
- Strong expertise in at least one domain:
- Adversarial optimization: game theory, Nash equilibria, minimax optimization, sequential games, adversarial search
- Mathematical programming: model predictive control, trajectory optimization, dynamic programming, stochastic control, mixed-integer programming, convex optimization
- Statistical learning: reinforcement learning, online learning, classification/regression under uncertainty, anomaly detection, predictive modeling
- Distributed optimization: fleet coordination, consensus protocols, multi-agent resource allocation, network flow optimization, decentralized control
- Solid foundation in probability theory, optimization, and stochastic decision processes
- 4+ years implementing and deploying optimization algorithms in operational systems with real-world constraints
- Demonstrated ability to formulate complex problems as tractable mathematical programs and collaborate across disciplines
- Passion for space operations and advancing capabilities in space domain awareness
- Work Location —this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
- 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.
- 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.
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Будет плюсом
- Master's or PhD in operations research, applied mathematics, computer science, aerospace engineering, or related discipline
- Experience with high-performance numerical computing and production-grade solver implementations
- Familiarity with edge computing constraints and real-time optimization under latency bounds
- Background in astrodynamics, orbital mechanics, or spacecraft operations
- Experience with Bayesian inference, state estimation (Kalman filtering, particle methods), and planning under partial observability
- Track record in verification/validation of mission-critical optimization systems
- Understanding of how game-theoretic, optimization, and learning-based approaches compose for robust decision-making
Условия
- Base Salary: $180,000 - $360,000
- 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.
Другое
- Space is a warfighting domain. seeks those with the talent and ambition to build the technology that secures it.
- OUR MISSION
- delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
- 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 member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core autonomy capabilities for . You will work with a talented cross-functional team to advance technology at the intersection of artificial intelligence, machine learning, and classical optimization. This will involve hands-on development across various areas including fleet scheduling, vehicle autonomy, mission planning, wargaming, threat assessment, and uncooperative RPO capabilities. You are a first principles engineer who takes ownership of the systems you build and delivers results.