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Blue Origin

Builds rockets, engines and lunar spacecraft

Senior Systems Modeling Engineer - Beam Planning & Network Optimization

Telecommunications EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA$145.2k - $203.3k

About the Job

Requirements

  • A bachelor's degree in computer science, electrical engineering, aerospace engineering, operations research, applied mathematics, or an equivalent technical field.
  • At least five years of experience developing algorithms for large-scale scheduling, routing, resource-allocation, or combinatorial-optimization problems, including hands-on implementation and validation.
  • Proficiency in MATLAB and/or Python for scientific computing and algorithm development, including developing, validating, and maintaining engineering analysis tools.
  • Strong foundations in graph algorithms, heuristic search, and scheduling techniques, with the ability to formulate real-world engineering problems as tractable optimization problems and evaluate solution quality.
  • Ability to document algorithmic designs, assumptions, complexity analysis, and performance results for cross-team consumption.
  • Ability to work collaboratively in a fast-paced, dynamic work environment.

Responsibilities

  • Develop and maintain beam-to-ground-cell allocation algorithms for the TeraWave constellation, including demand-driven beam steering and multi-beam scheduling.
  • Design dwell-time optimization strategies that maximize throughput subject to power, thermal, and interference constraints.
  • Develop time, frequency, and power resource-scheduling algorithms that allocate shared constellation resources across competing demands while respecting per-satellite power budgets and regulatory emission constraints.
  • Design and implement data-routing algorithms for the optical inter-satellite link mesh, including shortest-path and latency-constrained routing over time-varying topologies with thousands of nodes.
  • Develop load-balancing and rerouting strategies that maintain service under link failures and orbital geometry changes.
  • Develop gateway-satellite assignment algorithms that optimize ground-segment utilization, minimize handover frequency, and maintain service continuity while accounting for gateway capacity, weather-driven link-margin variation, and geographic constraints.
  • Design handover algorithms for satellite-to-satellite and gateway-to-gateway transitions with minimal service disruption, using the constellation's deterministic orbital geometry.
  • Analyze algorithm scaling and computational complexity to demonstrate feasibility at full constellation scale and identify where approximations or decomposition are needed for tractable runtimes.
  • Perform trade studies quantifying network-performance implications of constellation-design choices, including orbital altitude, inclination, optical inter-satellite link terminal count, gateway placement, and phased deployment ordering, and provide algorithm-backed recommendations.
  • Contribute to constellation-level figures of merit so resource-assignment tradeoffs are evaluated in the context of end-to-end service delivery.
  • Integrate network-optimization models into the broader Integrated System Model, ensuring beam-planning and routing algorithms use consistent orbital-mechanics, power, and link-budget assumptions.
  • Collaborate with communications, power, thermal, and operations teams to incorporate evolving design constraints into optimization formulations.
  • Work with the Network Software Organization to translate algorithmic designs into production specifications, including interfaces, performance requirements, and acceptance criteria.
  • Communicate algorithmic designs, assumptions, and results to technical and non-technical stakeholders through reports, presentations, and data visualizations.
  • Build and maintain validated algorithmic tools in MATLAB and/or Python that are version-controlled, documented, and accessible to the broader engineering team.
  • Support reproducibility of results and enable rapid trade studies as the constellation design evolves.

Desired Qualifications

  • A master's or Ph.D. in computer science, operations research, electrical engineering, or a closely related field, with thesis work relevant to network optimization, resource scheduling, or algorithm design for large-scale systems.
  • At least eight years of experience spanning multiple areas of network resource optimization—beam planning, routing, scheduling, or capacity management—in satellite, telecom, cloud infrastructure, or logistics domains.
  • Working knowledge of wireless or satellite communications resource-management concepts, including beam scheduling, frequency reuse, link budgets, or capacity allocation.
  • Familiarity with time-varying network-routing problems, including dynamic graph representations and algorithms that exploit predictable topology changes.
  • Experience with low Earth orbit constellation programs and related algorithmic challenges, including time-varying topologies, Doppler-shifted links, contact-window-constrained routing, and demand patterns that shift with Earth's rotation.
  • Experience with heuristic and metaheuristic optimization techniques, including simulated annealing, genetic algorithms, and tabu search, and understanding when these approaches outperform exact methods at scale.
  • Experience with graph-theoretic modeling of communication networks, including flow optimization and multi-commodity flow problems.
  • Familiarity with reinforcement learning or online optimization approaches for adaptive resource management.
  • Experience developing algorithms under real-time or near-real-time computational budgets, including warm-starting, incremental re-optimization, and solution-quality guarantees under time pressure.
  • Experience translating algorithmic research into production-system specifications, including application programming interfaces, performance contracts, and test frameworks.
  • Familiarity with version control using Git and collaborative software-development practices.
  • Knowledge of satellite link-budget analysis, antenna beam patterns, frequency planning, and interference management.

About the Company

Blue Origin

Builds rockets, engines and lunar spacecraft

Blue Origin builds rockets, engines and spacecraft for commercial satellite operators and government space programs. Its New Glenn orbital rocket uses a reusable first stage, while Blue Moon landers are designed to transport cargo and astronauts to the lunar surface. The company designs and manufactures liquid-fueled propulsion systems, and its New Shepard vehicle is built for short suborbital trips carrying people and research payloads. Customers pay for launch services and engines, and government development contracts fund work on systems for exploration beyond Earth orbit. Founded by Jeff Bezos in 2000, Blue Origin is headquartered in Kent, Washington.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$10.1B
Headquarters
Kent, WA
Founded
2000

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