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Director Embedded Ai Jobs (NOW HIRING)

Senior Embedded Software Engineer

Panama City Beach, FL · On-site

$110.20K - $144.40K/yr

Provide direct support to the program manager on technical issues Qualifications REQUIRED ... Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile ...

AI Engineer III

Austin, TX · On-site

$57 - $76.50/hr

Director, AI and BI Department: Information Technology POSITION SUMMARY: The AI Engineer III serves ... Lead development and deployment of AI models on embedded and edge devices, ensuring performance ...

AI Engineer III

Austin, TX · On-site

$57 - $76.50/hr

Director, AI and BI Department: Information Technology POSITION SUMMARY: The AI Engineer III serves ... Lead development and deployment of AI models on embedded and edge devices, ensuring performance ...

The Director, Artificial Intelligence will lead the UPT division's AI-driven value creation agenda ... Embedded AI-enabled workflows across commercial and operational functions. * Increased adoption and ...

Job Type - Full Time, Hybrid The Director of Digital Enterprise Solutions is responsible for ... Lead the adoption of AI-assisted capabilities embedded in ERP, analytics, workflow automation, and ...

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Director Embedded Ai information

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$70K

$153.4K

$174K

How much do director embedded ai jobs pay per year?

As of May 30, 2026, the average yearly pay for director embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Embedded AI, and why are they important?

To thrive as a Director of Embedded AI, you need deep expertise in embedded systems, AI/machine learning algorithms, and a relevant advanced degree such as a master's or PhD in computer science or engineering. Familiarity with tools like TensorFlow Lite, PyTorch, edge AI platforms, and experience managing cross-functional development teams are crucial, along with certifications in AI or embedded systems being advantageous. Leadership, strategic vision, and excellent communication skills are essential for guiding teams and aligning projects with organizational goals. These capabilities ensure the successful integration of AI solutions into embedded products, driving innovation and competitive advantage.

How does a Director of Embedded AI typically collaborate with cross-functional teams to drive project success?

A Director of Embedded AI regularly works alongside hardware engineers, software developers, product managers, and data scientists to ensure AI solutions are seamlessly integrated into embedded systems. Collaboration involves aligning AI capabilities with hardware constraints, overseeing the development pipeline, and facilitating communication between teams to address technical challenges. This role often leads strategic planning sessions, reviews project milestones, and ensures all stakeholders are informed about progress and requirements. Effective collaboration is crucial for delivering innovative products on time and within budget.

What does a Director of Embedded AI do?

A Director of Embedded AI oversees the development and integration of artificial intelligence technologies into hardware devices and embedded systems. They lead teams of engineers and data scientists to create smart, efficient, and secure AI solutions for products such as IoT devices, automotive systems, medical devices, and more. This role involves setting strategic direction, managing projects, ensuring compliance with industry standards, and collaborating with other departments to bring AI-driven features to market. Directors of Embedded AI also stay up-to-date with advancements in AI and embedded systems to maintain a competitive edge.
More about Director Embedded Ai jobs
What cities are hiring for Director Embedded Ai jobs? Cities with the most Director Embedded Ai job openings:
What are the most commonly searched types of Embedded Ai jobs? The most popular types of Embedded Ai jobs are:
What states have the most Director Embedded Ai jobs? States with the most job openings for Director Embedded Ai jobs include:
Infographic showing various Director Embedded Ai job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Senior Embedded Software Engineer

Senior Embedded Software Engineer

SAIC

Panama City Beach, FL • On-site

$110.20K - $144.40K/yr

Full-time

Posted 14 hours ago


SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 203 rated it services


Job description

Job Description
Description
SAIC is seeking a Senior Embedded Software Engineer to join our dynamic team at our customer site in Panama City Beach, FL.
JOB DESCRIPTION:
You will be working in a dynamic environment at our off-base locations and at the Panama City Beach Naval Surface Warfare Center. You will be supporting multiple Navy projects of various scales and multiple contracts. You will hone your developer skills and gain engineering experience rapidly.
Our team provides onsite support for modification, upgrades and software maintenance supporting fielded software baselines along with our System Integration Laboratory (SIL) software simulators. We provide software design, development, coding, test, and integration support in the software development environment.
JOB DUTIES:
  • Software Development: Write and implement optimized code for microcontrollers and processors, handling the full SDLC
  • Testing & Debugging: Perform unit, integration, and system testing, plus troubleshoot issues and debug complex embedded systems
  • Documentation: Create technical manuals, design specifications, and maintain code for future reference
  • Examples of software engineering and development support activities for this role include but are not limited to the following:
    • Design and implement real-time embedded software intensive code solutions, test the resulting components, and analyze runtime profiles to debug errors that might exist
    • Integrate software units and components producing integrated software items consistent with the design that demonstrate the functional and non-functional software requirements
    • Document software functionality
    • Perform Object-Oriented Analysis and Design (OOAD) and programming in Java, C, C++, and C#
    • Perform software component development and lifecycle software support
    • Windows, Linux, and VxWorks operating systems programming
    • Use of Microsoft Visual C++ development environment with Microsoft Foundation Classes (MFC)
    • Use of Java development environments Eclipse, NetBeans, IntelliJ
    • Develop network protocol based applications using Transmission Control Protocol/Internet Protocol (TCP/IP)
  • The job also will include updating existing code and integrating improvements to software already in operation
  • Will support all aspects of the software development life cycle including unit test coverage, test automation, CI/CD pipelines and frequent releases
  • Will perform software configuration management planning, tracking and validation processes and procedures
  • Review and test software components for adherence to the design requirements and documents test results
  • Use your expertise to provide guidance on a variety of technical projects
  • Lead team members in Agile software development
  • Provide direct support to the program manager on technical issues

Qualifications
REQUIRED EXPERIENCE AND CLEARANCE:
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field and 5 years or more of work experience
  • Programming: Proficiency in C/C++ or Java is fundamental
  • RTOS: Understanding of real-time operating systems (e.g., Linux, VxWorks)
  • Hardware Knowledge: Understanding of microcontrollers, protocols (TCP/IP, Modbus), and reading schematics.
  • Soft Skills: Problem-solving, analytical thinking, attention to detail, and communication
  • Writing and interpreting technical reports and requirements and interface documents
  • Preparing presentation material and presenting to peers, project team members, and managers
  • Must demonstrate strong organizational skills and the ability to work multiple projects concurrently
  • Previous demonstrated ability in debugging and optimization
  • Experience working with hardware teams to ensure efficient and reliable performance within resource constraints
  • Must be a U.S. citizen able to obtain a Secret Clearance. Interim Secret required to start. SAIC will sponsor qualified candidates for a security clearance
DESIRED EXPERIENCE:
  • Scrum Master Certification (CSM)
  • Familiarity with integrating and implementing embedded AI solutions
  • Experience working in Agile (Scrum, Kanban, Crystal Methods, etc.) and Hybrid project teams

Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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