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Remote Huawei Rf Engineer Jobs in Santa Fe Springs, CA

All JobsHuawei Rf Engineer JobsRemote Huawei Rf Engineer JobsRemote Huawei Rf Engineer Jobs in Santa Fe Springs, CA

Remote Huawei Rf Engineer information

See Santa Fe Springs, CA salary details

$37.1K

$117.9K

$183.3K

How much do remote huawei rf engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote huawei rf engineer in Santa Fe Springs, CA is $117,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $139,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Huawei Rf Engineer vs Remote 5G Network Engineer?

AspectRemote Huawei Rf EngineerRemote 5G Network Engineer
CertificationsHuawei certifications, RF engineering certifications5G, RF, and network certifications (e.g., Cisco, Nokia)
Work EnvironmentTelecom companies, network service providers, remote field supportTelecom firms, network operators, remote network deployment
Industry UsagePrimarily in Huawei-based network projectsAcross multiple vendors including Huawei, Ericsson, Nokia

The Remote Huawei Rf Engineer focuses on Huawei-specific RF network deployment and optimization, often working with Huawei equipment. In contrast, the Remote 5G Network Engineer has a broader scope, working with various vendors' 5G technologies and equipment. Both roles require RF knowledge and certifications but differ in vendor specialization and project scope.

What cities near Santa Fe Springs, CA are hiring for Remote Huawei Rf Engineer jobs?

Cities near Santa Fe Springs, CA with the most Remote Huawei Rf Engineer job openings:

Remote Huawei Rf Engineer jobs near you

Systems Engineer, Teleoperations & Remote Drive

Harbinger Motors Inc.

Garden Grove, CA • On-site, Remote

Full-time

Posted 16 days ago

Job description

Job Overview

The Systems Engineering team is seeking a versatile Systems Engineer to own the end-to-end definition, integration, and architecture of ADAS features, teleoperation systems for remotely operated military/tactical vehicles, and core Electric Vehicle (EV) platform architectures.

In this role, you will bridge the gap between autonomous perception, remote command teleoperation, and high-voltage EV powertrains. You will lead the systems engineering lifecycle from defining customer use cases and sensor/communication architectures to managing Functional Safety (ISO 26262), cybersecurity, and vehicle-level validation across all Harbinger platforms.

What you will do:

  • Architect Teleoperation & Control Pipelines: Design low-latency teleoperation pipelines, video streaming architectures, and Operator Control Unit (OCU) interfaces for remotely operated and dual-use vehicles.
  • Design Safe Fallback Modes: Define fail-safe and fail-operational fallback behaviors during signal degradation, electronic countermeasures, or high-latency events, embedding core Functional Safety and cybersecurity controls.
  • Decompose Vehicle Requirements: Translate vehicle-level use cases and ADAS feature goals into clear system, component, and interface requirements using our requirement management platform (Flow Engineering).
  • Lead Validation & Track Testing: Define the DVP&R and oversee validation across SIL, HIL, and proving ground track testing to optimize system stability, link reliability, and feature calibration.

Who you are:

  • 5+ years of systems engineering experience in autonomous vehicles (AVs), robotics, Unmanned Ground Vehicles (UGVs), or EV/automotive vehicle platforms.
  • Hands-on background architecting or integrating low-latency teleoperation pipelines, real-time video/telemetry streaming, or Operator Control Unit (OCU) interfaces.
  • Knowledge of vehicle safety standards (e.g., ISO 26262, MIL-STD-882, or UL 4600) and experience designing safe fallback modes for degraded RF, cellular, or high-latency links.
  • Experience with control logic modeling (MATLAB/Simulink, C++, or ROS/ROS2), vehicle network protocols (CAN/Ethernet), and requirement management platforms.
  • Bachelor's degree in Systems, Robotics, Electrical, Mechanical, or Computer Engineering (or equivalent practical experience).

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