Principal Wireless Engineer

Posted 3 Days Ago
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Seattle, WA, USA
In-Office
150K-250K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Cloud • Machine Learning
The Role
Lead development of mathematical models and algorithms to simulate SATCOM and terrestrial link degradation. Integrate high-resolution weather/atmospheric datasets, translate RF physics and link budgets into software (Python/C++/Rust), validate models using commercial and defense telemetry, and collaborate with engineering to embed models in ConstellationOS.
Summary Generated by Built In

Role
We are looking for a high-agency Principal Wireless Engineer to be the ultimate authority on the physics and RF dynamics of our simulation engine. You will work directly with the founding team to architect the mathematical models that allow our software to accurately predict how, when, and why satellite and ground station links degrade. Your work will directly translate into the core logic of ConstellationOS, ensuring our predictive capabilities hold up in high-stakes commercial and defense deployments.

What You’ll Do

  • Own the Physics of Failure: Develop the mathematical models and algorithms that simulate complex SATCOM and terrestrial network degradation. You will account for Doppler shifts, dynamic handovers, latency spikes, and hardware constraints across varied orbital regimes.

  • High-Fidelity Environmental Modeling: Drive the integration of high-resolution weather and atmospheric datasets (e.g., ERA5, GOES-R, ASOS) into our simulation engine to accurately model rain fade, scintillation, and tropospheric/ionospheric interference.

  • Bridge Science and Software: Translate deep physics, RF constraints, and link budgets into actionable architectural logic. You will collaborate closely with our engineering team to ensure your models are seamlessly integrated into the ConstellationOS codebase (Python/C++/Rust).

  • Applied Research & Edge Cases: Analyze data from our active commercial pilots and defense evaluations to continuously validate and refine our simulation's realism against real-world telemetry.

Who You Are

  • The Domain Expert: You hold a PhD (or possess equivalent industry experience) in Physics, Electrical Engineering, Aerospace Engineering, or a closely related field, with a deep focus on RF propagation, SATCOM, or atmospheric science.

  • Systems-Level Thinker: You understand traditional terrestrial networking (BGP, OSPF, MPLS) and how it intersects with space-based routing. You know how packets move and the exact physical phenomena that cause them to drop.

  • Relentlessly Resourceful: You thrive in the unstructured environment of a seed-stage, hard-tech startup. You are a "problem-finder" who can independently identify gaps in our models and build the mathematical solutions without waiting for a roadmap.

About the interview
  1. Introductory Call (30 mins): A quick conversation with our CTO to discuss your background, the ConstellationOS vision, and mutual fit.

  2. Technical Deep Dive (Case Study): A practical exercise where we walk through a real-world link failure scenario. You'll help us identify the specific variables (RF physics, network congestion, hardware constraints) required to model that failure with 100% fidelity.

  3. Final Interview (Onsite/Video): A deep dive with the founding team to discuss your problem-solving approach, technical roadmap, and how you'll bridge the gap between hardware physics and our software engine.

Skills Required

  • PhD or equivalent industry experience in Physics, Electrical Engineering, Aerospace Engineering, or closely related field with focus on RF propagation, SATCOM, or atmospheric science
  • Deep expertise in RF propagation, link budgets, Doppler effects, scintillation, rain fade, tropospheric and ionospheric interference
  • Experience integrating high-resolution environmental datasets (ERA5, GOES-R, ASOS) into simulation models
  • Familiarity with terrestrial networking protocols (BGP, OSPF, MPLS) and space-based routing interactions
  • Proven ability to translate physics and RF constraints into production software and integrate with codebases (Python, C++, Rust)
  • Experience analyzing real-world telemetry from commercial pilots or defense evaluations to validate and refine models
  • Ability to operate independently in a seed-stage startup environment and drive applied research for edge cases
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The Company
8 Employees
Year Founded: 2025

What We Do

Constellation Space builds ConstellationOS, an AI-native operating system that forecasts satellite link degradation minutes ahead and autonomously reroutes traffic under policy to prevent data loss. The platform ingests telemetry, uses physics-informed ML to predict failures with high accuracy, and executes rapid, policy-bound reroutes to provide mission assurance and scalable orchestration for large satellite constellations.

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