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Remote Semiconductor Device Engineer Jobs in Texas

Senior AI DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

... remote recovery via API, and re-register them no human intervention required * Define the device ... Obsession with developer experience.You measure your success by how fast and reliably engineers get ...

Senior AI DevOps Engineer

Austin, TX ยท Remote

$128K - $165K/yr

... remote recovery via API, and re-register them no human intervention required * Define the device ... Obsession with developer experience.You measure your success by how fast and reliably engineers get ...

Solution Engineer

Frisco, TX ยท On-site +1

$98K/yr

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

Solution Engineer

Frisco, TX ยท On-site +1

$98K/yr

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

The Senior Design Engineer will be responsible for the design, development, verification and ... device sector. All positions at Astura report to the office daily and we do not have remote or ...

Design and deliver telemetry-driven solutions that provide visibility into device health ... Create and maintain Nexthink content including investigations, remote actions, workflows, campaigns ...

Remote Opportunity Available (if all qualifications are met) * Opportunity for W2 Employment or ... Skilled in layout techniques for device matching, parasitic reduction, RF shielding, and high ...

Experience with device management integration in a mobile or IoT context: policy enforcement, remote configuration, and status reporting over cellular. * Strong API design and integration engineering ...

Experience with device management integration in a mobile or IoT context: policy enforcement, remote configuration, and status reporting over cellular. * Strong API design and integration engineering ...

Showing results 21-40

Remote Semiconductor Device Engineer information

What is a remote semiconductor device engineer?

A Remote Semiconductor Device Engineer is a professional who designs, develops, and analyzes semiconductor devices such as transistors, diodes, and integrated circuits, while working from a remote location. They use specialized software and simulation tools to test device performance, troubleshoot issues, and collaborate with engineering teams virtually. This role requires strong knowledge of semiconductor physics, materials, and fabrication processes, and is often found in industries like electronics, telecommunications, and computing.

What is the difference between Remote Semiconductor Device Engineer vs Remote Electronics Design Engineer?

AspectRemote Semiconductor Device EngineerRemote Electronics Design Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering, Semiconductor PhysicsBachelor's/Master's in Electrical/Electronic Engineering
Work EnvironmentResearch labs, manufacturing firms, tech companiesProduct development, consumer electronics, industrial equipment
Industry UsageSemiconductor manufacturing, integrated circuit designConsumer electronics, industrial systems, IoT devices
Common Search IntentFocus on semiconductor devices, fabrication, testingFocus on electronic circuit design, prototyping

The Remote Semiconductor Device Engineer specializes in designing and testing semiconductor components used in integrated circuits, often working closely with fabrication processes. In contrast, the Remote Electronics Design Engineer focuses on creating electronic circuits and systems for various applications. While both roles require electrical engineering credentials and involve remote work, their core responsibilities and industry focus differ significantly.

What are the key skills and qualifications needed to thrive as a remote semiconductor device engineer?

A Remote Semiconductor Device Engineer requires a solid background in electrical engineering or physics, experience in device fabrication, and a thorough understanding of semiconductor physics, typically backed by a relevant degree. Proficiency with simulation tools such as TCAD, programming languages like Python or MATLAB, and experience with CAD systems are commonly expected, along with familiarity with remote collaboration platforms. Strong analytical thinking, communication, and self-motivation are essential soft skills for effectively managing complex projects and collaborating with distributed teams. Mastering these skills ensures high-quality device design, efficient teamwork, and the ability to innovate in a rapidly evolving, remote work environment.

How does a remote semiconductor device engineer typically collaborate with cross-functional teams despite working offsite?

Remote Semiconductor Device Engineers frequently collaborate with diverse teams such as design, fabrication, and testing through digital tools like video conferencing, shared simulation platforms, and project management software. Regular virtual meetings, clear documentation, and version-controlled repositories ensure alignment and smooth information flow. While remote work offers flexibility, it also demands proactive communication and self-discipline to keep up with rapid project developments. Building strong online relationships and participating in virtual brainstorming sessions are key to overcoming the challenges of limited in-person interaction.

What are the most commonly searched types of Semiconductor Device Engineer jobs in Texas?

The most popular types of Semiconductor Device Engineer jobs in Texas are:

What are popular job titles related to Remote Semiconductor Device Engineer jobs in Texas?

For Remote Semiconductor Device Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Semiconductor Device Engineer jobs in Texas look for?

The top searched job categories for Remote Semiconductor Device Engineer jobs in Texas are:

What cities in Texas are hiring for Remote Semiconductor Device Engineer jobs?

Cities in Texas with the most Remote Semiconductor Device Engineer job openings:

Senior AI DevOps Engineer

Roku

Austin, TX โ€ข Remote

$128K - $165K/yr

Full-time

Re-posted 23 days ago


Job description

About the teamย 

Join a high-performing, innovative team that plays a pivotal role in Roku's mission to be the best TV streaming platform in the world. Our teamย is responsible forย delivering intuitive, high-quality mobile applications that enhance the way millions of users interact with Roku devices globally. We pride ourselves on creating products that "just work" - seamlessly and effortlessly. This commitment to excellence is driven by a collaborative, inclusive, and results-oriented culture where your contributions will directlyย impactย the user experience of millions. Ifย you'reย passionate about building products that feel magical and intuitive, this is the team for you.

About the roleย 

The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android. You own the CI/CD pipeline and QA automation infrastructure for the mobile engineering team. Your role will use AI to design and build a completely autonomous, self-healing CI/CD and QA automation pipeline for multiple products with millions of users. ย You treat AI as your primary design tool not an add-on. ย Every system you build should minimize human intervention, from code push to app store submission. You'll own CI Pipeline Architecture: the path from git push to a green or red signal. Your job is to make that path fast, reliable, and cheap. That includes QA Automation & Device Orchestration: the software systems that schedule, monitor, and recover the test infrastructure.

What you'll be doingย 
  • Design and maintain CI/CD pipelines for iOS and Android on GitLab CI
  • Architect pipeline stages for fail-fast execution: cheapest checks first (lint, compile, static analysis), expensive checks last (device farm tests)
  • Build smart test routing: analyze MR diffs to determine which tests need physical devices and which can run on emulators, so 80% of MRs never touch the device farm
  • Build flaky test detection and quarantine systems. ย Classify failures as infrastructure-caused vs. code-caused so engineers trust the signal
  • Automate release mechanics: code signing, versioning, TestFlight/Play Console uploads, dSYM and mapping file management. ย The goal is zero manual steps between merge and app store submission
  • As agent-authored MR volume grows, ensure pipelines absorb the increase without degrading speed or starving human-authored MRs of resources
  • Build the device reservation and orchestration system that assigns devices to CI jobs, prevents contention, and maximizes utilization without manual scheduling
  • Design self-healing automation: health checks detect unresponsive devices, trigger remote recovery via API, and re-register them no human intervention required
  • Define the device compatibility matrix which firmware/model combinations require real hardware, and which can run on emulators
  • Implement priority-based test routing: device-touching MRs get farm time, UI-only MRs never queue for a device
  • Use AI to identify failure patterns, predict infrastructure issues, and continuously optimize pipeline performanceย 
Were excited if you haveย 
  • 5+ year's operating CI/CD infrastructure at scale, preferably GitLab CI
  • Ability to travel up to 20%
  • Deep understanding of mobile build systems (Xcode/xcodebuild, Gradle) and mobile-specific CI challenges (code signing, provisioning, multi-platform builds)
  • Strong scripting (Python, Bash) and ability to build internal tooling reservation systems, health monitors, pipeline analytics dashboards
  • Advanced proficiency with AI-assisted development (Copilot, Claude Code, Cursor, or equivalent) you use AI as your default approach to writing code, building systems, and solving infrastructure problems
  • Experience designing autonomous, self-healing systems that detect, diagnose, and recover from failures without human intervention
  • AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount
  • Obsession with developer experience.You measure your success by how fast and reliably engineers get feedback, not by how complex your infrastructure is
  • Data-driven decision making. ย You measure failure rates, waste rates, device utilization, and pipeline duration and you use those numbers to prioritize your work

Preferred Qualificationsย 

  • Experience with infrastructure-as-code (Terraform, Ansible, or equivalent) for managing cloud and on-premises infrastructure
  • Working knowledge of WiFi and BLE protocols enough to understand why tests that exercise radio communication behaves differently from pure software tests
  • Experience with mobile test automation frameworks (XCUITest, Espresso, Appium) not to write tests, but to understand what they need from infrastructure
  • Experience scaling CI for high-volume, automated code generation (agentic engineering, bot-authored MRs)ย 
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