AI/ML Software Engineer (Satellite Operations)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid onsite role based in the Herndon, Virginia or Westminster, Colorado office, with in-office days on Tuesday, Wednesday, and Thursday. Candidates must be U.S. persons and U.S. citizens are explicitly required.
Salary: $105,000–$140,000–$154,000 annually in Colorado; $116,000–$154,000–$169,400 annually in the Washington, DC metropolitan area. Other states use location-specific market ranges.
Company
develops spatial intelligence solutions that help decision makers and operators understand current conditions and plan future actions.
What you will do
- Design and implement scalable reinforcement learning, optimization, and decision-making algorithms for satellite sensor and constellation tasking.
- Build high-fidelity simulation and evaluation environments for autonomous planning strategies.
- Develop multi-objective optimization pipelines balancing coverage, revisit rate, latency, resource utilization, revenue, and mission success.
- Translate mission requirements into deployable AI systems with aerospace engineers, mission operators, software engineers, and product teams.
Requirements
- Bachelor’s degree in Computer Science or a strongly related field.
- 5+ years of software development experience with recent use of modern AI-assisted technologies.
- Strong Java programming skills and experience with Spring Boot microservices.
- Strong software engineering fundamentals, including automated testing, CI/CD, version control, and containerized deployment.
- Experience developing machine learning or optimization systems.
- U.S. person status is required; the posting explicitly requires U.S. citizenship.
Nice to have
- Additional degrees or certifications in Data Science, Aerospace Engineering, Applied Mathematics, Physics, or a related field.
- Experience with orbital mechanics, satellite systems, remote sensing, mission operations, or collection planning.
- Experience with probabilistic modeling, uncertainty estimation, Bayesian optimization, GPU acceleration, distributed training, autonomous systems, or multi-agent planning.
Culture & Benefits
- Work with cross-functional teams on advanced Earth Observation satellite operations.
- Competitive total rewards package with a 401(k) company match.
- Mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
- Incentive eligibility based on contribution, company performance, and individual results.
- Equal opportunity workplace committed to an inclusive environment.
Hiring process
- Apply through ’s careers page.
- The posting is expected to remain open for three days from publication or until a qualified candidate is identified.
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