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Embedded Ai Jobs (NOW HIRING)

Embedded Engineer

Columbia, MD

$129K - $170K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Embedded Engineer

Columbia, MD · On-site

$129K - $170K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Senior AI Product Manager

$129K - $170K/yr

Determine clear build vs. buy decisions and present to the AI COE for approval: when to invest in custom AI solutions vs. leveraging vendor-embedded AI (Claude, Workday AI, Fieldguide AI, etc.) vs ...

Senior Embedded Software Engineer

Panama City, FL · Hybrid

$110K - $145K/yr

Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile (Scrum, Kanban, Crystal Methods, etc.) and Hybrid project teams SAIC is a premier technology ...

Audit and rationalize the AI capabilities embedded across LVT's existing tech stack - driving adoption of high-value tools, consolidating redundancies, and deprecating underutilized spend. * Build ...

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Embedded & AI Integration: Support the integration of automated AI-based anomaly detection features within embedded platforms, including exposure to machine learning inference pipelines and ...

Senior Embedded Software Engineer

Panama City Beach, FL · On-site

$110K - $144K/yr

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 ...

If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

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Embedded Ai information

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$70K

$153.4K

$174K

How much do embedded ai jobs pay per year?

As of Jun 20, 2026, the average yearly pay for 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 in the Embedded Ai position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What is an Embedded AI job?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are some common challenges faced by Embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

More about Embedded Ai jobs
What cities are hiring for Embedded Ai jobs? Cities with the most 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 Embedded Ai jobs? States with the most job openings for Embedded Ai jobs include:
Infographic showing various Embedded Ai job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Senior Software Engineer II - Enterprise AI Consulting & Embedded Experts

Senior Software Engineer II - Enterprise AI Consulting & Embedded Experts

Principle

Des Moines, IA • Hybrid

$127K - $152K/yr

Other

Posted 19 days ago


Job description

Senior Software Engineer II

We're looking for a Senior Software Engineer II to join our AI Enablement product family within the Consulting & Embedded Experts team. In this role, you will operate as a trusted technical advisor and hands-on engineer, partnering directly with product and business teams to accelerate the safe, secure, and scalable adoption of AI across the enterprise. Rather than owning a single product, you will embed with teams, shape solutions, and help scale AI capability through reusable patterns, platforms, and accelerators aligned to enterprise strategy.

Drive AI Adoption & Business Value

Partner with product and business teams to identify and deliver high-impact AI use cases aligned to enterprise priorities. Translate ambiguous business problems into practical, production-ready AI solutions. Focus on delivering value aligned to measurable outcomes and ROI. Embed with teams as a technical expert to accelerate AI solution design and implementation. Bridge the gap between central AI enablement capabilities and domain-specific business needs. Collaborate in a federated operating model, enabling teams while maintaining enterprise standards.

Build & Scale Reusable AI Capabilities

Contribute to and leverage enterprise AI platforms, MLOps/LLMOps capabilities, and reusable accelerators. Create reusable patterns (e.g., RAG architectures, evaluation frameworks, guardrails) that reduce time-to-market and cost. Help drive critical mass adoption of AI platforms across engineering teams. Ensure safe, secure, and sustainable AI design. Implement guardrails, evaluation strategies, and monitoring to ensure trusted AI outcomes and customer protection. Champion sustainable engineering practices including reusability, scalability, and governance alignment.

Shape Technical Direction & Capability Maturity

Assess emerging AI technologies and guide teams on when and how to adopt them responsibly. Help teams move up the AI maturity curve—from point solutions to enterprise-scale, embedded AI capabilities. Influence architecture decisions that enable long-term transformation, not just short-term delivery.

Enable & Elevate Others

Mentor engineers and product teams on AI best practices, architecture, and delivery approaches. Act as a force multiplier, enabling teams rather than becoming a bottleneck. Contribute to internal knowledge sharing, playbooks, and AI community building (e.g., demos, patterns, guidance).

About AI Enablement

Our mission is to drive enterprise AI innovation through scalable platforms, reusable patterns, and strategic implementation, empowering teams to deliver secure, high-value AI solutions at scale. We focus on: Expanding workforce adoption of AI through accessible, secure capabilities. Providing engineer-friendly platforms and patterns to accelerate delivery. Delivering business-aligned use cases that create measurable value.

Who You Are

8+ years of engineering experience, including building and scaling distributed systems. Experience working in complex, matrixed environments with multiple stakeholders. Strong ability to operate in ambiguity and move between strategy and hands-on delivery. Proven ability to influence without authority and drive adoption across teams. Excellent communication skills—able to translate between technical and business audiences.

Salary Range Information

Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly) $127000 - $152000 / year.

Time Off Program

Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don't accrue a bank of time off under FTO and there is no set number of days provided.

Work Environment

This role offers in-office and hybrid (blending at least three office days in a typical workweek), in Des Moines, IA or Charlotte, NC. You'll work with your leader to figure out which option may align best based on several factors.

Hours

This role will partner with our global teams and has an expectation for flexibility in your work schedule to have a regular start time around 7:30-8:00 am CST a few days a week.

Work Authorization/Sponsorship

At this time, we're not considering candidates that need any type of immigration sponsorship now or in the future or those needing work authorization for this role. (This includes, but is not limited to students on F1-OPT, F1-CPT, J-1, etc.)

Experience

Principal is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.