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Remote Smart Home Engineer Jobs (NOW HIRING)

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

About the role 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 ...

Sr. Director, Embedded Engineering

WA · Remote

$126K - $166K/yr

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States ... Define career paths, set performance expectations, and invest in the growth of every engineer.

Welcome to EQUITY SMART HOME LOANS! Established in 2001, Equity Smart was created to make home ... We offer everything a remote, independent contractor needs to succeed for their clients. Learn more ...

Sr Software Engineer, MLOps

WA · Remote

$150K - $180K/yr

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States ... The position will start remote and then will move into the hybrid schedule. The base salary range ...

Welcome to EQUITY SMART HOME LOANS! Established in 2001, Equity Smart was created to make home ... We offer everything a remote, independent contractor needs to succeed for their clients. Learn more ...

Lead Technician

Los Angeles, CA · On-site +1

$20 - $50/hr

Basic programming of single-room, advanced systems * Basic understanding of multi-room systems and ... This is a remote position. Compensation: $20.00 - $50.00 per hour Smart Home Integration offers a ...

Integrate audio intelligence with agentic tool use, memory, personalization, and smart-home context ... The position will start remote and then will move into the hybrid schedule. NRG Energy is committed ...

Sr Software Engineer, Agentic AI

WA · Remote

$150K - $180K/yr

Experience with smart home, IoT, edge/cloud, or real-time event systems The base salary range for ... The position will start remote and then will move into the hybrid schedule. Working at Vivint:

Sr. Director, Platform Engineering

WA · Remote

$228K - $377K/yr

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States ... Define career paths, set performance expectations, and invest in the growth of every engineer.

Director, Product Management Partner Experiences

WA · Remote

$238K - $249K/yr

Experience: 8+ years of product management experience, with at least 4+ years explicitly focused on building developer platforms, partner API ecosystems, IoT integrations, or connected smart home ...

Vivint pioneers cutting-edge smart home security solutions, empowering customers to live a safer ... The position will start remote and then will move into the hybrid schedule. NRG Energy is committed ...

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Remote Smart Home Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do remote smart home engineer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for remote smart home engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

How does a Remote Smart Home Engineer typically collaborate with on-site teams and clients during installations or troubleshooting?

As a Remote Smart Home Engineer, collaboration with on-site technicians and clients is often managed through video calls, remote desktop tools, and cloud-based project management platforms. You’ll frequently guide installers step-by-step, perform remote diagnostics, and adjust smart home system configurations from your location. Clear communication and documentation are essential to ensure seamless integration and to resolve issues efficiently. Building strong rapport with both technical and non-technical stakeholders is key to providing excellent service and ensuring project success.

What are the key skills and qualifications needed to thrive as a Remote Smart Home Engineer, and why are they important?

To thrive as a Remote Smart Home Engineer, you need a solid background in electrical engineering, networking, and IoT technologies, often supported by a relevant degree or technical certification. Proficiency with smart home platforms (such as Google Home, Amazon Alexa, or Apple HomeKit), home automation protocols (like Zigbee or Z-Wave), and remote diagnostic tools is typically required. Exceptional problem-solving, communication, and customer service skills help you resolve technical issues efficiently while guiding clients remotely. These skills ensure the reliable integration and support of smart home systems, resulting in high customer satisfaction and robust system performance.

What is a Remote Smart Home Engineer?

A Remote Smart Home Engineer is a professional who designs, installs, configures, and supports smart home systems such as lighting, security, climate control, and entertainment devices, often working from a remote location. They leverage technology to help homeowners automate and control devices via smartphones, voice assistants, or central hubs. Their responsibilities may include troubleshooting issues, recommending compatible devices, and ensuring system security. By working remotely, these engineers can provide support and guidance to clients without needing to be physically present in the home.
More about Remote Smart Home Engineer jobs
What cities are hiring for Remote Smart Home Engineer jobs? Cities with the most Remote Smart Home Engineer job openings:
What are the most commonly searched types of Smart Home Engineer jobs? The most popular types of Smart Home Engineer jobs are:
What states have the most Remote Smart Home Engineer jobs? States with the most job openings for Remote Smart Home Engineer jobs include:
Infographic showing various Remote Smart Home Engineer job openings in the United States as of June 2026, with employment types broken down into 24% Full Time, 73% Part Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Senior AI DevOps Engineer

Senior AI DevOps Engineer

Roku

Austin, TX • Remote

$128K - $165K/yr

Other

Posted 6 days ago


Key responsibilities

  • Design and maintain CI/CD pipelines for iOS and Android on GitLab CI.

  • Automate release mechanics including code signing, versioning, and app store uploads to minimize manual steps.

  • Build and maintain self-healing automation and device orchestration systems to maximize reliability and utilization.


Job description

About the team 

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 team is responsible for 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 directly impact the user experience of millions. If you're passionate about building products that feel magical and intuitive, this is the team for you.

About the role 

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.  You treat AI as your primary design tool not an add-on.  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 doing 
  • 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.  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.  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 performance 
Were excited if you have 
  • 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.  You measure failure rates, waste rates, device utilization, and pipeline duration and you use those numbers to prioritize your work

Preferred Qualifications 

  • 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) 

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