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Remote Embedded Engineer Jobs in Arizona (NOW HIRING)

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ...

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/fecb14e9 -2a0b-4549-a059- fa335612216d/agentic -software-engineer- i?utm_source=dstribute & utm_medium=job+board & utm_campaign ...

Senior Software Engineer

Tempe, AZ · Remote

$117.30K - $154.70K/yr

Senior Software Engineer Location ... This is a remote role that may travel to Tempe, Arizona on occasion. About Inizio Evoke In the ...

Are you an experienced Electrical Engineer ready to take the next step in your career? Do you enjoy ... However, for highly qualified candidates, we may offer hybrid or remote flexibility if you reside ...

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... WHAT WE DO At Relativity, engineers don't just write code. They build the foundational systems that ...

Senior Agentic Software Engineer

Scottsdale, AZ · Remote

$122.30K - $161.20K/yr

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/eb37a2b9 -e60d-4cac-8a3b- a6dac15711f5/senior -agentic-software- engineer?utm_source=dstribute & utm_medium=job+board & utm_campaign ...

We are seeking a Software Engineer to join our agile development team delivering high-quality ... We welcome both hybrid and remote candidates. You Are: * Innovative. You bring fresh ideas to ...

Senior Software Engineer

Chandler, AZ · On-site +1

$118.20K - $155.80K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As the Senior Software Engineer, you will apply cutting edge technologies to lead complex design ...

Senior Software Engineer

Chandler, AZ · On-site +1

$120.60K - $159.10K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As the Senior Software Engineer, you will apply cutting edge technologies to rapidly develop and ...

Senior Software Engineer

Phoenix, AZ · On-site +1

$121.60K - $160.40K/yr

Posting Type Hybrid/Remote Job Overview Who We Are Relativity is a leading legal data intelligence ... What We Do At Relativity, engineers don't just write code- they harness AI tools to architect ...

New

Senior Software Engineer

Chandler, AZ · On-site +1

$118.20K - $155.80K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... As the Senior Software Engineer, you will apply cutting edge technologies to lead complex design ...

Software Architect

Tempe, AZ · On-site +1

$205K - $307K/yr

... embedded systems software and with a Master's degree in Computer Science or Computer Engineering ... require remote management and operations * Ability to develop and deliver software using CI / CD ...

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Showing results 1-20

Remote Embedded Engineer information

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 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 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 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 Arizona? The most popular types of Embedded Engineer jobs in Arizona are:
Infographic showing various Remote Embedded Engineer job openings in Arizona as of May 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution.
Software Engineer

Software Engineer

Relativity

Phoenix, AZ • On-site, Remote

Other

Medical, Retirement

Posted 8 days ago


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting