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Remote Rf Optimization Engineer Jobs in Irvine, CA

Qcells

Civil Engineer - Level 2

Irvine, CA · On-site +1

Remote CIVIL ENGINEER - LEVEL 2 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine, CA ... optimization, hydrology modeling, and permitting compliance for utility-scale solar and BESS ...

Qcells

Senior Civil Engineer - Level 4

Irvine, CA · On-site +1

Remote SENIOR CIVIL ENGINEER LEVEL 4 Hanwha Qcells USA Corp (Qcells USA), headquartered in Irvine ... Oversee grading optimization strategies, site layout refinement, and cut/fill balance planning to ...

Three Point Solutions

Facilities Engineer II

Irvine, CA · Remote

$50 - $55/hr

... optimization. * Manage small to moderately sized BAS projects from concept through execution ... Provide off-hours onsite or remote support as needed. * Collaborate cross-functionally with ...

SuperbTech,Inc.

Lead Salesforce Developer

Orange, CA · On-site +1

$75 - $85/hr

Hybrid (FULLY REMOTE NOT AVAILABLE) ONLY CANDIDATES IN SOUTHERN CALIFORNIA WILL BE CONSIDERED ... Support data migration, large data volume (LDV) strategies, and performance optimization.

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Remote Rf Optimization Engineer information

See Irvine, CA salary details

$39.7K

$126.3K

$196.4K

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

As of Aug 26, 2026, the average yearly pay for remote rf optimization engineer in Irvine, CA is $126,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $149,200.00 per year, depending on experience, location, and employer.

What is a remote RF optimization engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

What are the key skills and qualifications needed to thrive as a remote RF optimization engineer, and why are they important?

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by remote RF optimization engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What are popular job titles related to Remote Rf Optimization Engineer jobs in Irvine, CA?

For Remote Rf Optimization Engineer jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Remote Rf Optimization Engineer jobs in Irvine, CA look for?

The top searched job categories for Remote Rf Optimization Engineer jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Remote Rf Optimization Engineer jobs?

Cities near Irvine, CA with the most Remote Rf Optimization Engineer job openings:

Remote Rf Optimization Engineer jobs near you
Infographic showing various Remote Rf Optimization Engineer job openings in Irvine, CA as of August 2026, with employment types broken down into 73% Full Time, 14% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,317 per year, or $60.7 per hour.

Systems Engineer, Teleoperations & Remote Drive

Garden Grove, CA • On-site, Remote

Harbinger Motors Inc.
See more jobs at Harbinger Motors Inc.external

Full-time

Posted 21 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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