Inversion

Inversion

RF Design Engineer I

Playa Vista, California, United States

Work authorization required$106k-$150kDetected 8 days ago
PythonMATLABSparkCybersecurityComplianceBudgetingLogisticsANSYSPCB DesignAvionicsEMI/EMCElectrical EngineeringHardware DesignRF EngineeringCommunication

About the role

  • These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
  • Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications.
  • You will be a key member of the Avionics team, reporting directly to the Director of Engineering, Avionics.

Responsibilities

  • As an RF Design Engineer, you will be responsible for the design, development, integration, and verification of flight and ground RF/Telemetry hardware for Inversion's next-generation re-entry vehicles.
  • You will sit within the Avionics team and own the end-to-end lifecycle of communication hardware - taking systems from concept development, circuit and component selection, and RF architecture definition through antenna integration, lab validation, and mission-readiness testing.
  • Our engineers are responsible for the complete lifecycle of the hardware they create, including design, analysis, testing, and integration.
  • You will help develop critical hardware and systems for cutting-edge maneuverable reentry vehicles - advancing one of the most capable reentry vehicle platforms ever developed.
  • Design and develop RF hardware and communication subsystems for flight and ground telemetry applications, including transmit and receive signal chains, front-end architectures, and supporting circuitry.
  • Develop and maintain high-fidelity communication link budgets, modeling vehicle-level antenna radiation patterns and simulating RF performance in challenging flight and atmospheric environments.
  • Perform trade studies to evaluate and select commercial off-the-shelf (COTS) RF components, including transmitters, transceivers, Power Amplifiers (PAs), Low Noise Amplifiers (LNAs), filters, switches, and antennas.
  • Support schematic development, board-level design, and integration of RF hardware with broader avionics systems, ensuring performance, manufacturability, and reliability.
  • Lead benchtop and vehicle-level RF testing using standard laboratory equipment, bridging hardware with software by supporting live end-to-end telemetry validation.
  • Partner with software, guidance and control (GNC), power, and mechanical teams to ensure optimal antenna placement, signal integrity, thermal dissipation, and structural integrity under environmental stress.

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field
  • Proven experience designing and analyzing RF signal chains and link budgets under dynamic flight profiles.
  • Foundational experience with electromagnetic and RF simulation tools (such as Ansys HFSS, ADS, or similar) for modeling antenna characteristics, matching networks, or component behavior.
  • Experience with RF circuit design fundamentals including impedance matching, filtering, gain/noise budgeting, shielding, and signal isolation.
  • Demonstrated ability to communicate technical RF concepts effectively to multidisciplinary engineering teams.
  • Strong understanding of requirements, systems design, and test methods for space, launch, and/or reentry environments including thermal, vibration, shock, EMI/EMC, and radiation.
  • Experience designing, testing, and integrating S-band and L-band telemetry or transponder systems.
  • Familiarity with telemetry and range safety standards (e.g., IRIG-106) and digital modulation schemes (such as SOQPSK).
  • Experience with PCB layout considerations for RF hardware, including controlled impedance routing, grounding, stack-up planning, and isolation techniques.
  • Background in high-reliability and/or safety-critical systems for spacecraft or automotive applications.
  • Knowledge of radiation-hardened or rad-tolerant system design.
  • Understanding of unique design requirements for long-duration orbital missions.
  • Strong software or scripting fluency in Python or MATLAB for processing lab data, automated test scripts, or RF analysis tool development.
  • Knowledge of aerospace environmental qualification processes, including EMI/EMC testing, anechoic chambers, vibration, and thermal vacuum (TVAC) environments.
  • Familiarity with the unique RF propagation challenges associated with spacecraft re-entry.
  • Prior work in startups and small independent teams.

Compensation

  • The California annual base salary for this role is currently $77,000 - $116,000.

Company info

  • Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
  • Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain.
  • We see space not as a destination, but as a platform - one that unlocks unprecedented speed and global reach.
  • Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision.
  • Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what's possible in space-based defense and logistics.
  • Essential Duties and
  • Level II Consideration - We are also open to considering qualified candidates for a Level II role.

Equal opportunity

  • Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability.
  • Inversion collects and processes personal data in accordance with applicable data protection laws.

Visa & Work Authorization

  • security clearance up to Top Secret

This listing is sourced directly from Inversion's careers page and normalized into a canonical job model.