GNSS system engineer

Posted 3 Days Ago
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Santa Clara, CA, USA
In-Office
Mid level
Automotive • Blockchain • Internet of Things • Robotics
The Role
Hands-on GNSS systems engineer responsible for module and chipset bring-up, RF and antenna debugging, signal tracking and raw data analysis, firmware (RTOS/Linux C/C++) optimization, and integration of GNSS into UAV and robotics systems for lab, field, and production readiness.
Summary Generated by Built In
GNSS Systems Engineer
Location: Santa Clara, CA
Work Type: On-site | Full-time | Relocation not offered
About HYFIX
At HYFIX, we are building pioneering Spatial AI and autonomous systems to shape the future of intelligent technology. Our team is global, forward-thinking, and passionate about innovation. We thrive on solving complex challenges and are committed to creating solutions that push the boundaries of what's possible.
About the Role
We are seeking a skilled GNSS Systems Engineer with strong hands-on experience in GNSS hardware, module development, and performance optimization, especially for UAV drone and ground robotics. This role focuses on personally evaluating, debugging, and optimizing the performance of GNSS chipsets, modules and system integration for drone and robotics, with direct ownership of RF and firmware-level performance issues, while working closely with firmware engineers and RF teams.
Key Responsibilities
GNSS Module Development & Chipset Understanding
·      Hands-on contribution to GNSS module design, bring-up, performance debugging, and production readiness, including active technical review.
·      Hands-on understanding and practical experience with GNSS chipset internals, including baseband behavior, tracking loops, and performance tradeoffs.
·      Hands-on debugging and optimization of RF front-end design, antenna integration, matching networks, and signal integrity.
·      Review and debug GNSS module schematics, PCB layouts, and RF signal paths to identify root causes of sensitivity loss, noise, or interference.
Signal Processing & Tracking
·      Hands-on debugging of GNSS signal tracking and acquisition, including multi-frequency processing and interference mitigation.
·      Analyze raw GNSS measurement data (IQ samples, tracking logs, navigation messages) to identify tracking instability or degraded positioning accuracy.
Embedded Systems & Firmware
·      Hands-on debugging and optimization of embedded RTOS and Linux C/C++ firmware running directly on GNSS modules.
·      Troubleshoot firmware–hardware integration issues at the GNSS module and chipset interface.
·      Implement and validate firmware updates to improve GNSS module performance across lab, field, and production environments.
·      Hands-on experience using ARM and/or RISC-V toolchains to debug and profile GNSS firmware.
Performance Analysis, Debugging & Production Readiness
·      Lead GNSS chipset and module evaluations under real-world lab and field conditions.
·      Diagnose GNSS issues related to RF interference, noise coupling, antenna behavior, multipath, timing, sensor fusion, and hardware-induced anomalies.
·      Drive chipset optimization and module readiness through EVT/DVT/PVT and mass production in collaboration with engineering and manufacturing teams.
·      Produce clear technical documentation, test reports, and data-driven recommendations.
System Integration – Drones & Robotics
·      Design and integrate wireless communication systems enabling UAV telemetry, command-and-control (C2), and high-bandwidth payload data (such as 4K video or LiDAR).
·      Ensure robust connectivity in challenging environments, from urban canyons to remote industrial sites.
This role is hands-on and execution-focused, not primarily a systems architecture or requirements-definition position.
Required Qualifications
·      Master’s degree in engineering (Electrical, Computer, Robotics, Aerospace, or related field).
·      Deep understanding of GNSS systems, tracking loops, signal structures (GPS, Galileo, BeiDou, GLONASS), interference, and multipath.
·      Strong hands-on experience with embedded RTOS & Linux C/C++, firmware debugging, and hardware bring-up.
·      Experience with RF systems, antennas, and GNSS module hardware.
·      Ability to analyze GNSS raw data, tracking logs, and RF measurements.
·      Strong debugging skills across hardware, firmware, and signal domains.
Nice to Have Qualifications
·      Experience with GNSS high-precision technologies, including PVT, RTK, PPP, and multi-frequency positioning.
·      Hands-on experience with GNSS + IMU sensor fusion, including integration, calibration, and performance tuning.
Benefits
·      401(k)
·      Dental insurance
·      Vision insurance
·      Paid time off
·      Professional development assistance
How to Apply
We’d love to hear from you! Send your resume and a short cover letter to [email protected]

Skills Required

  • Master's degree in Engineering (Electrical, Computer, Robotics, Aerospace, or related)
  • Deep understanding of GNSS systems, tracking loops, and multi-constellation signal structures (GPS, Galileo, BeiDou, GLONASS)
  • Strong hands-on experience with embedded RTOS and Linux C/C++ firmware development and debugging
  • Experience with RF systems, antennas, GNSS module hardware, and PCB review
  • Ability to analyze GNSS raw data (IQ samples, tracking logs, navigation messages) and RF measurements
  • Strong cross-domain debugging skills across hardware, firmware, and signal processing
  • Hands-on experience using ARM and/or RISC-V toolchains to debug and profile firmware
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The Company
0 Employees
Year Founded: 2021

What We Do

GEODNET (Global Earth Observation Decentralized Network) is the world's largest decentralized Real-Time Kinematic (RTK) network, providing centimeter-level precision positioning data for autonomous robotics, drones, and AI systems. It leverages a decentralized network of reference stations to correct GNSS signals, supporting critical applications in automotive, agriculture, and logistics. The project integrates Web3 and DePIN technologies to scale its global infrastructure for the autonomous future.

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