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Remote Embedded Engineer Jobs in Austin, TX (NOW HIRING)

Software Engineer, CI/CD

Austin, TX ยท Remote

$123K - $216K/yr

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 Software Engineer - Remote

Austin, TX ยท Remote

$121K - $160K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... Embedded systems * ASIC development * Hardware/software integration * Validation * High-performance ...

Electrical Engineer

Austin, TX ยท Remote

$100K - $150K/yr

About the Role This hands-on Electrical Engineer role sits at the core of a small, fast-moving ... What We're Looking For * 5+ years of hands-on electrical design experience for robotics or embedded ...

Senior Engineer - User Space (Austin, TX)

Austin, TX ยท On-site +1

$121K - $160K/yr

Senior Engineer - User Space ABOUT WIND RIVER Wind River is a global leader in delivering software ... Experience with embedded systems development * Knowledge of build systems (Yocto, Buildroot, or ...

Senior Software Engineer (Cloud Architect)

Austin, TX ยท Remote

$132K - $180K/yr

... remote role. Performance Objectives: * Deliver cloud architecture topology and trade studies ... Integrate cloud systems with avionics, embedded systems, and legacy platforms. * Develop Interface ...

Senior Software Engineer (Cloud Architect)

Austin, TX ยท On-site +1

$128K - $174K/yr

... remote role. Performance Objectives: * Deliver cloud architecture topology and trade studies ... Integrate cloud systems with avionics, embedded systems, and legacy platforms. * Develop Interface ...

Senior Software Engineer (Cloud Architect)

Austin, TX ยท On-site +1

$128K - $174K/yr

... remote role. Performance Objectives: * Deliver cloud architecture topology and trade studies ... Integrate cloud systems with avionics, embedded systems, and legacy platforms. * Develop Interface ...

Showing results 21-40

Remote Embedded Engineer information

See Austin, TX salary details

$69.4K

$152K

$172.5K

How much do remote embedded engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote embedded engineer in Austin, TX is $152,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a remote embedded engineer?

A Remote Embedded Engineer is a professional who designs, develops, and maintains embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. They use programming languages like C or C++ to create software that interacts directly with hardware components. Remote Embedded Engineers often collaborate with teams using online tools, manage tasks independently, and ensure the reliability and efficiency of embedded systems across industries such as automotive, medical devices, or IoT. Their work enables connectivity and functionality in a wide range of smart devices.

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

To thrive as a Remote Embedded Engineer, you need expertise in embedded systems design, proficiency in programming languages like C/C++, and a background in electrical or computer engineering. Familiarity with microcontrollers, real-time operating systems (RTOS), hardware debugging tools, and version control systems such as Git is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills make candidates stand out in this role. These competencies are vital to ensure reliable embedded solutions, efficient project collaboration, and independent productivity in a remote environment.

How do remote embedded engineers typically collaborate with hardware teams when working off-site?

Remote Embedded Engineers often use a combination of version control systems, video conferencing, and remote desktop tools to stay in sync with hardware teams. They may participate in daily standups, share code and test results through collaborative platforms, and sometimes use hardware simulators or remote lab access for testing. Regular documentation and clear communication are key, as are scheduled sync meetings to address integration issues and align project milestones. This structure helps ensure smooth coordination despite physical distance.

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

AspectRemote Embedded EngineerRemote Firmware Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDesigning and developing embedded hardware/software, often in R&D or product development teamsWriting low-level code for hardware devices, often in manufacturing or product support
Industry UsageElectronics, IoT, automotive, consumer devicesConsumer electronics, IoT, industrial equipment
Common Search/ComparisonRemote Embedded EngineerRemote Firmware Engineer

Both roles focus on embedded systems but differ mainly in scope. Remote Embedded Engineers work on both hardware and software integration, while Remote Firmware Engineers specialize in low-level firmware coding. The choice depends on whether the focus is on hardware-software integration or firmware development.

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

The most popular types of Embedded Engineer jobs in Austin, TX are:

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

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

Infographic showing various Remote Embedded Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $152,035 per year, or $73.1 per hour.

Forward Deployed Engineer, AI & Analytics

Virtasant

Austin, TX โ€ข On-site, Remote

Full-time

Posted 6 days ago


Job description

About Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.
Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.
About the role
A leading US healthcare workforce company has built an analytics and predictive proof of concept on Palantir Foundry. Client reaction has been strong, and the platform is now moving to a full production build that will be taken to market. We are standing up a pod of five to six engineers to deliver it, working alongside the client's product and business teams and training their internal engineers as we build. This is forward deployed work in the original sense: you embed with the client, you own an outcome, and you ship. Beyond the first build, the client plans to place small AI pods inside its business units, each pairing an FDE with an AI engineer and a software engineer, and each accountable for a measurable business result. Do the first engagement well and there is a long runway.
What You'll Do
What you will do Take a Palantir Foundry proof of concept to production: data pipelines, ontology, application layer, governance, observability. Sit with business and product teams, run discovery, and turn policies and operating procedures into working code and agent logic. Define an adoption or delivery metric with the client's business leader, own it, and report against it. Train client engineers as you build, so capability stays with the client rather than with the vendor. Shape the roadmap from proof of concept to a production-grade product the client can sell.
What We're Looking For
FDE-grade is a specific bar. We gate on four signals:
1. Platform depth. Production work on Palantir Foundry or a comparable data and AI platform. Certifications alone do not qualify; we reference-check against shipped systems.
2. Customer-facing comfort. You can run a discovery session, lead a workshop, train a team, and defend a recommendation in front of a CTO.
3. Generalist build instinct. You write the glue code, the integration, the pipeline, and the dashboard. You do not wait for tickets.
4. Outcome ownership. You have shipped end to end and are comfortable being measured on adoption, time to production, or a business KPI. The fourth signal has a corollary the client cares about deeply: business context.
A great FDE comes up to speed on the business layer fast, because an engineer who only listens and codes will faithfully rebuild the inefficient process that already exists. We look for people who ask why the process works the way it does before writing a line of it.
Must-Have Experience
*
*

-6+ years in software, data, or ML engineering, with senior-level ownership of production systems.
-Hands-on Palantir Foundry experience (Pipeline Builder, Ontology, Workshop; AIP a strong plus), or deep experience on a comparable platform such as Databricks or Snowflake with evidence of fast platform ramp.
-Production Python and SQL. TypeScript or Java a plus.
-Experience building with LLMs and agents: retrieval, tool use, evaluation, and getting them past the demo stage.
-Consulting, solutions engineering, or client-embedded delivery experience. Clear written and spoken English, comfortable presenting to executives
Nice-to-haves
  • Healthcare, staffing and workforce, or other regulated-industry domain experience.
  • Forward Deployed Engineer, AI & Analytics 3 of 4 A track record of capability transfer: training, pairing, playbooks delivered as part of an engagement.
  • A prior FDE, solutions architect, or solutions engineer role at a platform vendor or AI-native company.
Our recruitment process
  • Recruiter interview (30 min)
  • Technical Interview (30 min)
  • Client Interview 1 (60 min)

We strive to move efficiently from step to step to make the recruitment process as fast as possible.
What we offer
Contract engagement through the Gigster network, full-time dedication expected.
Initial term aligned to the production build, with extension likely as the pod model expands across business units.
Compensation is competitive and set by experience and location
Our team Gigster Locations USA, Latin America Remote status Fully Remote