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Remote Embedded Jobs in Houston, TX (NOW HIRING)

Datavant

Embedded ROI Specialist

Texas City, TX · Remote

$15 - $18.32/hr

Remote processing of electronic medical records through various EMR systems as directed * Ability to work with minimum supervision responding to changing priorities and role needs * Report any ...

Datavant

Embedded ROI Specialist

Texas City, TX · Remote

$15 - $18.32/hr

Remote processing of electronic medical records through various EMR systems as directed * Ability to work with minimum supervision responding to changing priorities and role needs * Report any ...

Weatherford

Director, Information Security

Houston, TX · Remote

... remote operations. * Develop security standards and governance for AI and GenAI technologies ... Ensure security controls are embedded across servers, endpoints, cloud platforms, and enterprise ...

Tekmetric

Senior People Partner

Houston, TX · On-site +1

We offer hybrid and remote work models based on your proximity to our office hubs. Because we value ... You'll be embedded in the business, operating as a trusted advisor to managers and senior leaders ...

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All JobsEmbedded JobsRemote Embedded JobsRemote Embedded Jobs in Houston, TX

Remote Embedded information

See Houston, TX salary details

$66.8K

$146.5K

$166.2K

How much do remote embedded jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote embedded in Houston, TX is $146,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $165,200.00 per year, depending on experience, location, and employer.

What are remote embedded jobs?

Remote embedded jobs involve designing, developing, and maintaining embedded systems software or firmware, while working from a location outside of a traditional office—often from home. These roles typically require expertise in programming languages such as C or C++ and familiarity with hardware interfaces, microcontrollers, and real-time operating systems. Remote embedded engineers collaborate with teams using online tools and may work on products ranging from consumer electronics to automotive or industrial devices. The remote aspect allows for flexible work arrangements and access to a broader range of job opportunities across the globe.

What are remote embedded jobs?

Remote embedded jobs include positions within the software and development industry that focus on engineering, developing, and maintaining software for embedded systems and networks. Common titles include “remote embedded software engineer” and “remote embedded developer.” Embedded software has a specific task related to the operations of a hardware system. As an embedded software engineer who works from home, your duties include coding software to perform a particular function, such as the control of a piece of machinery or the collection of data from a system. As a remote embedded software developer, you perform a similar job and sometimes help clients customize embedded software. You may also work as a remote quality assurance engineer where your responsibilities involve testing existing software.

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

To thrive as a Remote Embedded Engineer, you need a solid background in embedded systems design, programming in C/C++, and a relevant degree in electrical engineering, computer engineering, or a related field. Familiarity with hardware debugging tools, version control systems like Git, and real-time operating systems (RTOS) is typically required. Strong problem-solving abilities, effective communication skills, and the ability to work independently are essential soft skills for remote collaboration. These skills and qualities are crucial for developing reliable embedded solutions and ensuring seamless teamwork across distributed environments.

How does a remote embedded engineer typically collaborate with cross-functional teams while working offsite?

Remote Embedded Engineers often work closely with hardware, software, and quality assurance teams, even when not physically present. Collaboration is facilitated through regular video meetings, shared documentation, and version control systems like Git. Effective communication is crucial, as tasks such as debugging hardware remotely or reviewing code require clear coordination. Many teams use project management tools to track progress and ensure alignment, allowing remote engineers to contribute seamlessly to product development and problem-solving.

What is the difference between Remote Embedded vs Remote Firmware Developer?

AspectRemote EmbeddedRemote Firmware Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related field; experience with embedded systemsSimilar credentials, often with additional certifications in firmware development or microcontroller programming
Work EnvironmentDesigning and testing embedded systems, often involving hardware integrationDeveloping low-level firmware for microcontrollers or hardware devices
Industry UsageElectronics, automotive, IoT, consumer devicesConsumer electronics, industrial equipment, IoT devices
Search & Comparison IntentLooking for roles involving embedded system design and softwareFocusing on firmware coding and microcontroller programming

Remote Embedded roles typically involve designing and testing embedded systems that integrate hardware and software, while Remote Firmware Developers focus specifically on writing low-level firmware for microcontrollers. Both roles require similar credentials and are used across industries like electronics and IoT, but their core responsibilities differ in hardware interaction versus firmware coding.

Is remote embedded systems still a good career?

Remote embedded systems engineering remains a viable career due to ongoing demand for expertise in hardware-software integration, IoT development, and real-time systems. Skills in C/C++, debugging tools, and familiarity with hardware platforms are valuable, and remote work options are increasingly available in this field.
More about Remote Embedded jobs

What are the most commonly searched types of Embedded jobs in Houston, TX?

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For Remote Embedded jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Embedded jobs in Houston, TX look for?

The top searched job categories for Remote Embedded jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Embedded jobs?

Cities near Houston, TX with the most Remote Embedded job openings:

Remote Embedded jobs near you
Infographic showing various Remote Embedded job openings in Houston, TX as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $146,477 per year, or $70.4 per hour.

Robotics/Mechatronics Expert - Remote

YO AI Labs

Houston, TX • Remote

$80 - $100/hr

Full-time

Posted 12 days ago

Job description

Job Title: Robotics & Mechatronics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Robotics and Mechatronics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will apply your engineering knowledge to real-world robotics and mechatronics challenges while demonstrating how advanced AI coding agents can support complex technical workflows.

The ideal candidate combines hands-on expertise in robotics, mechatronics, system design, and engineering problem-solving with practical experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork.

No prior experience in AI training is required—your domain expertise, technical judgment, and ability to apply AI agents to sophisticated engineering problems are what matter most.

Scope of Work
  • Analyze and solve practical robotics and mechatronics problems using advanced AI coding agents.
  • Design, implement, test, and document solutions to challenging technical scenarios involving robotics and mechatronic systems.
  • Demonstrate how AI agents can be applied to complex, ambiguous, or large-scale engineering problems.
  • Use AI coding agents for tasks such as navigating large codebases, debugging complex issues, developing features, and optimizing technical workflows.
  • Document agent-driven workflows, including the technical context, decisions, prompts or instructions, generated code sequences, iterations, and outcomes.
  • Evaluate AI-generated solutions for technical correctness, reliability, maintainability, and practical engineering relevance.
  • Provide structured written and verbal feedback on AI agent performance, usability, limitations, and effectiveness.
  • Contribute real-world examples involving end-to-end feature development, system design, architectural changes, debugging, and workflow automation.
  • Collaborate remotely with project stakeholders to identify opportunities for using AI agents to accelerate robotics and mechatronics development.
Required Skills
  • Robotics
  • Mechatronics
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • System Design
  • Debugging Complex Codebases
  • End-to-End Feature Development
  • Technical Documentation
  • Problem-Solving
  • Written and Verbal Communication
  • Remote Collaboration
Preferred Qualifications
  • Current or recent professional experience in robotics, mechatronics, automation, controls, embedded systems, or a related STEM discipline.
  • Demonstrated hands-on experience with robotics or mechatronics projects involving software, hardware, control systems, sensors, actuators, or system integration.
  • Proven experience using Codex, Claude Science, Claude Code, and Claude Cowork to generate and execute multi-step code sequences for real-world engineering applications.
  • Experience applying AI coding agents beyond simple code generation, including debugging, system design, architecture, optimization, testing, and technical workflow automation.
  • Experience working with large or complex codebases and implementing end-to-end technical features.
  • Familiarity with major architectural changes, refactoring, system integration, and troubleshooting complex engineering software.
  • Ability to clearly document technical workflows and explain how AI agents contributed to engineering decisions and outcomes.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts clearly.
  • Experience working independently in remote, collaborative engineering environments.
  • Ability to provide concrete examples demonstrating how AI agentic workflows have improved technical problem-solving, development speed, or engineering productivity.