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Embedded Software Engineer Jobs in Columbia, TN (NOW HIRING)

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 ...

Sr. Software Engineer

Nashville, TN · On-site

$100 - $130/hr

Overview We are looking for an enthusiastic AI Full Stack Software Engineer who is eager to grow in the exciting field of AI‑assisted software development. This role is perfect for someone who is ...

New

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

As a Principal Software Development Engineer, you will define and drive the technical direction for ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

As a Principal Software Development Engineer, you will define and drive the technical direction for ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Principal Software Development Engineer (IC4)** to help design, build, and operate software ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Principal Software Development Engineer (IC4)** to help design, build, and operate software ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

As a Senior Software Development Engineer, you will own the design and development of major ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

As a Senior Software Development Engineer, you will own the design and development of major ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

As a Senior Software Development Engineer, you will own the design and development of major ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

As a Senior Software Development Engineer, you will own the design and development of major ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

As a Senior Software Development Engineer, you will own the design and development of major ... And with AI embedded across our products and services, we help customers turn that promise into a ...

As a Senior Software Development Engineer, you will own the design and development of major ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Applies strong software engineering and distributed-systems expertise to integrate AI-assisted ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Applies strong software engineering and distributed-systems expertise to integrate AI-assisted ... And with AI embedded across our products and services, we help customers turn that promise into a ...

Showing results 41-60

Embedded Software Engineer information

See Columbia, TN salary details

$63.6K

$139.4K

$158.2K

How much do embedded software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for embedded software engineer in Columbia, TN is $139,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $157,300.00 per year, depending on experience, location, and employer.

What is an embedded software engineer?

Embedded Software Engineers are professionals who design, develop, and maintain software that runs on embedded systems—specialized computing devices that are part of larger systems, such as cars, medical devices, industrial machines, and consumer electronics. Their work involves programming in languages like C or C++ to interact closely with hardware components, ensuring optimal performance, reliability, and safety. Embedded Software Engineers work closely with hardware engineers to integrate and test software with physical devices, often working within real-time and resource-constrained environments. Their expertise is crucial in developing the 'brains' of many devices we use every day.

What are the key skills and qualifications needed to thrive as an embedded software engineer?

To thrive as an Embedded Software Engineer, you need a solid background in computer science or electrical engineering, strong programming skills in C/C++, and experience with embedded systems design. Familiarity with real-time operating systems (RTOS), microcontroller architectures, debugging tools, and version control systems like Git is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills set top engineers apart. These competencies are crucial for building reliable, efficient, and safe embedded solutions that meet industry standards.

How does an embedded software engineer typically collaborate with hardware engineers during product development?

Embedded Software Engineers work closely with hardware engineers throughout the product development lifecycle. Collaboration often involves joint design reviews, debugging sessions, and integration testing to ensure software and hardware function seamlessly together. Effective communication is crucial, as changes in hardware can impact software functionality and vice versa. This cross-disciplinary teamwork helps resolve technical issues quickly and ensures the end product meets performance and reliability standards.

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

AspectEmbedded Software EngineerFirmware Engineer
CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related fields; often requires knowledge of C/C++Similar credentials; strong C/C++ skills, understanding of hardware
Work EnvironmentDevelops software for embedded systems in various industries like automotive, IoT, consumer electronicsFocuses on low-level hardware interaction, often working closely with hardware teams
Industry UsageCommon in automotive, medical devices, consumer electronics, industrial automationPrimarily in consumer electronics, IoT devices, and hardware startups

Embedded Software Engineers design and develop software for embedded systems, focusing on system-level programming. Firmware Engineers write low-level code that directly interacts with hardware components. While both roles require similar skills and work environments, Embedded Software Engineers often work on a broader range of software, whereas Firmware Engineers focus on hardware-specific code. Understanding these differences helps in choosing the right career path or job search focus.

Are embedded software engineers in demand?

Embedded software engineers are in high demand due to the growth of IoT, automotive, medical devices, and consumer electronics industries. They often require skills in C, C++, and real-time operating systems, with job opportunities increasing globally as embedded systems become more integral to technology development.

What cities near Columbia, TN are hiring for Embedded Software Engineer jobs?

Cities near Columbia, TN with the most Embedded Software Engineer job openings:

Infographic showing various Embedded Software Engineer job openings in Columbia, TN as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $139,433 per year, or $67 per hour.

Software Engineer

Relativity

Nashville, TN • On-site

Other

Medical, Retirement

Re-posted 15 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