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Embedded Software Engineer Remote Jobs in Texas (NOW HIRING)

Software Engineer

Austin, TX ยท On-site +1

... is an embedded semiconductor solution provider driven by its Purpose ' To Make Our Lives Easier ... Our people-first culture and global support system, including the remote work option and Employee ...

New

This includes remote caching, remote execution, target identification and selection, etc. * Operate ... Embedded devices and Hardware-in-the-loop fixtures * Maintain reproducible build and CI ...

Senior AI Engineer - Remote

Dallas, TX ยท Remote

$105K - $147K/yr

Person will work closely with our AI team, software engineers, and business stakeholders to create ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Senior AI Engineer - Remote

Dallas, TX ยท On-site +1

$105K - $147K/yr

Person will work closely with our AI team, software engineers, and business stakeholders to create ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Sr Software Engineer

San Antonio, TX ยท On-site +1

$111K - $146K/yr

C++, QT, UI/UX, OpenGL and WebGL, CMake, Unix/Linux, VSCode Onsite/Remote: Day 1 Onsite at customer ... Understanding of embedded surface geometry and coordinate systems used in orcOptics. Ability to ...

Senior AI Engineer - Remote

Dallas, TX ยท Remote

$105K - $147K/yr

Person will work closely with our AI team, software engineers, and business stakeholders to create ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

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Showing results 1-20

Embedded Software Engineer Remote information

See Texas salary details

$65.2K

$142.9K

$162.1K

How much do embedded software engineer remote jobs pay per year?

As of Jun 19, 2026, the average yearly pay for embedded software engineer remote in Texas is $142,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote Embedded Software Engineers, and how can they be addressed?

Remote Embedded Software Engineers often encounter challenges such as limited direct access to physical hardware, coordinating across different time zones with team members, and maintaining effective communication for troubleshooting and integration tasks. These challenges can be mitigated by utilizing remote hardware labs, well-established code repositories, and clear documentation practices. Regular video meetings, collaborative development tools, and proactive status updates also help keep projects on track and align team efforts. By staying organized and responsive, remote engineers can overcome these obstacles and deliver high-quality embedded solutions.

What is an Embedded Software Engineer Remote job?

An Embedded Software Engineer Remote job involves designing, developing, and testing software that runs on embedded systems, such as microcontrollers or IoT devices, while working remotely. These engineers write low-level code, optimize performance, and ensure seamless hardware-software integration. They use programming languages like C, C++, or Python and collaborate with teams through virtual communication tools. Remote roles require strong self-discipline, effective communication, and the ability to troubleshoot issues independently.

What are the key skills and qualifications needed to thrive in the Embedded Software Engineer Remote position, and why are they important?

To thrive as an Embedded Software Engineer Remote, you need strong programming skills in C/C++, a solid understanding of embedded systems architecture, and often a degree in computer engineering, electrical engineering, or a related field. Familiarity with real-time operating systems (RTOS), version control tools like Git, and hardware debugging tools is commonly required, and certifications like Certified Embedded Systems Engineer (CESE) are a plus. Excellent problem-solving, self-motivation, and clear communication are important soft skills for effective remote collaboration. These capabilities enable you to deliver reliable, efficient solutions in a distributed work environment while supporting cross-functional teams and project objectives.

What are the most commonly searched types of Embedded Software Engineer jobs in Texas? The most popular types of Embedded Software Engineer jobs in Texas are:
What job categories do people searching Embedded Software Engineer Remote jobs in Texas look for? The top searched job categories for Embedded Software Engineer Remote jobs in Texas are:
What cities in Texas are hiring for Embedded Software Engineer Remote jobs? Cities in Texas with the most Embedded Software Engineer Remote job openings:
Infographic showing various Embedded Software Engineer Remote job openings in Texas as of June 2026, with employment types broken down into 82% Full Time, 12% Part Time, 3% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $142,900 per year, or $68.7 per hour.

Senior Software Engineer [REMOTE]

Upbound - Job Posting

Dallas, TX โ€ข Remote

$121K - $159K/yr

Other

Posted 19 days ago


Job description

Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations.

What You'll Do
  • Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane.
  • Take ownership of building features in high demand by Upbound's customers and deliver new functionality that will delight and amaze our users.
  • Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks.
  • Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements.
  • Support the full project lifecycle for highly scalable and reliable services running in a cloud environment - discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support.
  • Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence.
  • Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly.
  • Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response.
  • Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release.
  • Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments.
  • Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution.
What You'll Bring
  • Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability.
  • Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments.
  • Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance.
  • Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments.
  • Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads.
  • Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build.
  • Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features.
  • Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges.
  • Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers.

ย #LI-REMOTE