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

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ... Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded ...

... software solutions that support Intellivo's case management platform modernization and client ... Exposure to Power BI embedded analytics or reporting platform integration. * Experience with ...

... software solutions that support Intellivo's case management platform modernization and client ... Exposure to Power BI embedded analytics or reporting platform integration. * Experience with ...

... software solutions that support Intellivo's case management platform modernization and client ... Exposure to Power BI embedded analytics or reporting platform integration. * Experience with ...

Mainframe Developer

Memphis, TN · Hybrid

$47.50 - $61.25/hr

Recruiting for this role ends on July 11th, 2026 Qualifications Required * 4+ years of experience in software, systems, or embedded engineering * 4+ years of experience in Mainframe application ...

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... and embedded analytics reporting. • Maintain Feature Store pipelines that produce machine ... Collaborate with Software Engineering, Analytics, and business stakeholders to translate ...

Bachelor's degree or higher in computer science, information technology, software engineering ... embedded agents, or Oracle Cloud Infrastructure (OCI) Generative AI services * 2+ years of ...

Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI ... with embedded security controls. Integrate security across the SSDLC, including code reviews ...

New

Digital Innovation Engineer

Memphis, TN · On-site

$132K/yr

Serves as a technical leader (software and/or hardware) on at least one digital project ensuring ... IoT Development - embedded programming, wireless networking, security, Azure IoT Hub or AWS IoT ...

Serves as a technical leader (software and/or hardware) on at least one digital project ensuring ... IoT Development - embedded programming, wireless networking, security, Azure IoT Hub or AWS IoT ...

Serves as a technical leader (software and/or hardware) on at least one digital project ensuring ... IoT Development - embedded programming, wireless networking, security, Azure IoT Hub or AWS IoT ...

Serves as a technical leader (software and/or hardware) on at least one digital project ensuring ... IoT Development - embedded programming, wireless networking, security, Azure IoT Hub or AWS IoT ...

Digital Innovation Engineer

Memphis, TN · On-site

$132K/yr

Serves as a technical leader (software and/or hardware) on at least one digital project ensuring ... IoT Development - embedded programming, wireless networking, security, Azure IoT Hub or AWS IoT ...

Serves as a technical leader (software and/or hardware) on at least one digital project ensuring ... IoT Development - embedded programming, wireless networking, security, Azure IoT Hub or AWS IoT ...

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Embedded Software Engineer information

See Memphis, TN salary details

$68K

$149K

$169K

How much do embedded software engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for embedded software engineer in Memphis, TN is $149,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $168,100.00 per year, depending on experience, location, and employer.

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.

What Is an Embedded Software Engineer?

Embedded software is installed on devices that operate like personal computers. Examples of embedded software can be found in geographic positioning systems, or GPS devices, smart watches, and calculators. Embedded software engineers perform a range of embedded software engineering functions, including running system software updates and designing software for embedded systems. Embedded software engineers also advise on product development, approve new product designs, and optimize the product lifecycle.

Will AI replace embedded system engineers?

Embedded software engineers design and develop software for embedded systems, and while AI tools can assist with coding and testing, they are unlikely to fully replace the need for human expertise in understanding hardware constraints, system integration, and troubleshooting. AI can enhance productivity but requires skilled engineers to oversee, interpret, and implement solutions effectively.

What are the key skills and qualifications needed to thrive as an Embedded Software Engineer, and why are they important?

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.

What are Embedded Software Engineers?

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 do embedded software engineers do?

Embedded software engineers develop, test, and maintain software that runs on hardware devices such as microcontrollers, sensors, and embedded systems. They write code primarily in C or C++, often using specialized tools and real-time operating systems to ensure efficient and reliable device performance.

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 engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. These roles typically require advanced skills, certifications, and extensive industry experience.

Can I make 200k a year as a software engineer?

Embedded Software Engineers can potentially earn $200,000 or more annually, especially with extensive experience, specialized skills in areas like real-time systems or safety-critical applications, and working in high-paying industries such as aerospace or automotive. Achieving this salary often requires advanced certifications, a strong track record, and positions in regions with higher compensation levels. Entry-level or general roles typically offer lower salaries, but senior engineers with expertise in embedded systems can reach or exceed this income level.
What are the most commonly searched types of Embedded Software Engineer jobs in Memphis, TN? The most popular types of Embedded Software Engineer jobs in Memphis, TN are:
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What cities near Memphis, TN are hiring for Embedded Software Engineer jobs? Cities near Memphis, TN with the most Embedded Software Engineer job openings:

Senior Data Engineer

Intellivo

Memphis, TN • On-site

$95K - $129K/yr

Full-time

Posted 28 days ago


Job description

Senior Data Engineer
Role Summary
The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and platform infrastructure within a medallion architecture (Bronze, Silver, Gold) on Microsoft Fabric and OneLake. This role delivers enterprise-grade ingestion, transformation, and enrichment solutions that convert raw healthcare, legal, and insurance data into structured intelligence signals used for identification scoring, analytics, and operational reporting.
The role requires deep experience with cloud data platforms, strong Python and SQL skills, and the ability to operate in a regulated healthcare environment with strict HIPAA compliance and multi-tenant data isolation requirements across a large portfolio of client contracts. This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ensure reliable, governed, and performant data delivery across the organization.
Core Responsibilities
  • Data Ingestion Pipeline Development
    • Design and build data ingestion pipelines from multiple structured and unstructured sources including healthcare claims, P&C insurance data, and legal filings into the Bronze layer of the medallion architecture.
    • Optimize ingestion workflows for reliability, throughput, and compliance across regulated production environments.
    • Implement error handling, retry logic, and dead-letter patterns to ensure pipeline resilience.
  • Medallion Architecture and Transformation
    • Develop Silver layer transformation logic including normalization, deduplication, entity resolution, and schema enforcement within Microsoft Fabric and OneLake.
    • Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting.
    • Maintain Feature Store pipelines that produce machine learning-ready feature sets for model training and inference.
  • Data Governance and Compliance
    • Enforce data contractual constraints from third-party data providers, including requirements for stateless processing and restrictions on data persistence or model training.
    • Implement multi-tenant data isolation patterns including partitioning, access controls, and governed data handling across a large number of client contracts.
    • Document data lineage, transformations, and data contracts to support governance, audit readiness, and operational clarity.
  • Data Quality and Monitoring
    • Build and maintain data quality validation scripts to detect schema drift, completeness gaps, and business-rule violations across pipeline stages.
    • Implement monitoring on pipeline health, data freshness, and operational exceptions to maintain high-confidence production data.
    • Establish alerting and escalation processes for pipeline failures and data anomalies.
  • Cross-Functional Collaboration
    • Partner with ML Engineering and Data Science to deliver features that support model retraining, scoring pipelines, and identification engine capabilities.
    • Collaborate with Software Engineering, Analytics, and business stakeholders to translate operational needs into reliable, production-ready data solutions.
    • Contribute to architectural decisions and technical documentation that support the broader data platform strategy.

Qualifications
Required
  • B.S. or B.A. in Computer Science, Information Systems, Mathematics, or a related field.
  • 7+ years of professional data engineering experience, preferably within Azure-based or Microsoft Fabric environments.
  • Hands-on experience designing enterprise data pipelines, ETL/ELT workflows, and medallion or lakehouse architecture patterns.
  • Strong programming skills in Python, with advanced SQL experience and data quality validation logic.
  • Experience with Microsoft Fabric, OneLake, Azure Data Factory, or equivalent cloud data orchestration tools.
  • Working knowledge of CI/CD practices for data pipelines and infrastructure-as-code concepts.
  • Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to accelerate pipeline development, code generation, and debugging workflows.

Preferred
  • Familiarity with healthcare data formats (claims, eligibility, EDI 837/835) and HIPAA compliance requirements.
  • Experience with multi-tenant data architectures and governed data handling in regulated environments.
  • Exposure to ML feature engineering, Feature Store design, or data pipelines supporting model training workflows.
  • Experience with dbt, PySpark, or similar transformation frameworks.

Professional Skills
  • Highly organized with the ability to manage multiple concurrent technical workstreams.
  • Critical thinker with strong problem-solving ability and attention to detail.
  • Clear communicator, comfortable working asynchronously with distributed teams.
  • Self-directed with a track record of driving projects through completion without constant oversight.