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Remote Matlab Jobs in Ladera Ranch, CA (NOW HIRING)

PTP

Software Engineer - REMOTE

CA · On-site +1

PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Senior Software Engineer to help us design and deliver CX ...

NextDeavor Inc.

Mid Level Software Engineer

Irvine, CA · Remote

$100K - $115K/yr

Mid Level Software Engineer Full-time Remote Exclusive confidential search -- details shared with qualified applicants. Become a Key Player as a Mid Level Software Engineer You will contribute to ...

All JobsMatlab JobsRemote Matlab JobsRemote Matlab Jobs in Ladera Ranch, CA

Remote Matlab information

See Ladera Ranch, CA salary details

$64.8K

$115.6K

$186.6K

How much do remote matlab jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote matlab in Ladera Ranch, CA is $115,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a remote Matlab?

A Remote Matlab job involves using Matlab software to perform programming, data analysis, simulations, and algorithm development while working from a remote location. These roles are common in industries like engineering, finance, and research, where Matlab is used for mathematical modeling and data processing. Remote Matlab professionals may collaborate with teams online, write scripts, debug code, and optimize algorithms without being physically present in an office.

What are the key skills and qualifications needed to thrive in the remote Matlab position?

To thrive as a Remote Matlab professional, you typically need a strong background in mathematics, engineering, or computer science, with advanced proficiency in Matlab programming and problem-solving. Familiarity with technical tools such as Simulink, version control systems (like Git), and experience in data analysis or modeling are often required. Strong communication skills, self-motivation, and effective time management are essential soft skills for successful remote collaboration. These competencies are vital for delivering high-quality technical solutions independently while maintaining alignment with distributed team objectives.

What are some common challenges faced by remote Matlab professionals, and how can they overcome them?

Remote Matlab professionals often face challenges such as coordinating complex projects across different time zones and staying connected with team members for regular updates and feedback. To overcome these hurdles, it's important to establish clear communication routines using collaboration tools like Slack or Teams and to document code and progress thoroughly for transparency. Additionally, troubleshooting technical issues without on-site support can be handled by developing strong online research skills and participating in Matlab-focused forums or user groups. Proactively managing your schedule and remaining adaptable help ensure steady productivity and minimize misunderstandings in a remote work environment.

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Remote Matlab 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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