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Remote Embedded Ai Jobs (NOW HIRING)

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... embedded AI experiences. * Partner with Engineering, Data Science, and AI/ML teams to ...

SmartGate is Loadsmart's Physical AI platform for warehouses and distribution centers - computer ... United States (Remote) WHAT YOU GET TO DO: * Maintain end-to-end system integrity across the ...

SmartGate is Loadsmart's Physical AI platform for warehouses and distribution centers -- computer ... United States (Remote) WHAT YOU GET TO DO: * Maintain end-to-end system integrity across the ...

Senior Embedded Software Engineer

Sioux Falls, SD · On-site +1

$119.80K - $157.10K/yr

You can write software without the assistance of AI but are open to using it to enhance your ... Remote candidates will not be prioritized. Physical Requirements & Working Conditions: * Physical ...

Embedded AI-driven insights and task execution * Real-time iteration inside an operating agency ... Limited remote flexibility is possible, but proximity to the agency is critical to success. Miami ...

This position is remote with travel up to 25% to our company headquarters or other locations. Key ... Knowledge of edge AI model deployment * Familiarity with USB gadget drivers, PCIe or SDIO ...

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Remote Embedded Ai information

See salary details

$70K

$153.4K

$174K

How much do remote embedded ai jobs pay per year?

As of May 30, 2026, the average yearly pay for remote 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 Remote Embedded AI Engineer, and why are they important?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by Remote Embedded AI Engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is a Remote Embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

More about Remote Embedded Ai jobs
What cities are hiring for Remote Embedded Ai jobs? Cities with the most Remote 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 Remote Embedded Ai jobs? States with the most job openings for Remote Embedded Ai jobs include:
What job categories do people searching Remote Embedded Ai jobs look for? The top searched job categories for Remote Embedded Ai jobs are:
Infographic showing various Remote Embedded Ai job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 9% Physical, 3% Hybrid, and 88% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
AI Compliance and Systems Engineer

AI Compliance and Systems Engineer

Minitab

State College, PA • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Location: State College, PA or Remote in the state of PA with travel to State College, PA regularly for the first 6 months

Build Responsible AI-From Policy to Production

At Minitab, we help organizations harness data to make better decisions. As AI adoption accelerates across our products and internal workflows, we are expanding our AI governance capability beyond policy and certification into technical oversight and enablement.

We are seeking a technical AI Compliance & Systems Engineer to operationalize AI governance within enterprise systems-including LLMs, custom applications, software development tools, third-party software, and emerging model ecosystems.

This role complements our legal and AI management system leadership by adding hands-on technical capability: evaluating, advising, integrating, and governing AI systems at the implementation layer.

What You'll Do

Operationalize AI Governance in Technical Systems

  • Design and implement technical controls and guardrails for enterprise AI usage, including LLM-based tools (e.g., models, custom applications, APIs, plugins).
  • Build or support secure pipelines and integrations for AI tools, ensuring compliance with internal policies and external regulations.
  • Partner with engineering and IT to embed governance directly into AI workflows, APIs, and system architectures.

Evaluate AI Tools, Vendors, and Architectures

  • Lead technical due diligence of third-party AI tools, LLM providers, plugins, and embedded AI features in software products.
  • Assess data flows, model behavior, security posture, and risk exposure of AI-enabled systems.
  • Develop and maintain evaluation frameworks for approving or rejecting AI technologies.

Support AI Management System (AIMS) Execution

  • Translate ISO/IEC 42001 controls into practical technical implementations.
  • Work alongside the AI management system lead to ensure controls are enforceable within systems, not just documented.
  • Help integrate AI governance into existing security architecture (ISO 27001) and enterprise tooling.

Enable Safe Adoption of AI Across the Business

  • Serve as a technical advisor to product, engineering, and business teams deploying AI capabilities.
  • Define approved patterns, architectures, and usage models for AI tools.
  • Help teams move quickly while staying within risk tolerance and compliance boundaries.

AI Risk, Monitoring, and Lifecycle Oversight

  • Implement mechanisms for monitoring AI system usage, outputs, and risk signals.
  • Support AI Impact Assessments (AIIAs) with technical validation of system design and behavior.
  • Contribute to incident response and investigation related to AI systems.

Bridge Technical and Regulatory Domains

  • Translate regulatory requirements (EU AI Act, NIST AI RMF, ISO standards) into technical specifications and controls.
  • Partner with legal and compliance teams to ensure alignment between policy and implementation.

What We're Looking For

Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 5-10 years of experience in AI/ML systems, security engineering, or technical risk/compliance roles.
  • Hands-on experience with:
    • LLMs and AI platforms (e.g., OpenAI APIs, Azure OpenAI, Anthropic, etc.)
    • API integrations and data pipelines
    • Cloud environments (AWS, Azure, GCP)
  • Strong understanding of:
    • AI/ML system architecture and lifecycle
    • Data security, access controls, and secure design principles
  • Ability to evaluate technical implementations of AI, not just conceptual models.

Preferred

  • Experience integrating or governing ChatGPT Enterprise or similar platforms.
  • Familiarity with AI risk frameworks (ISO/IEC 42001, NIST AI RMF, ISO/IEC 23894).
  • Background in application security, DevSecOps, or ML engineering.
  • Experience assessing third-party software and vendor risk.
  • Certifications in cloud, security, or AI (e.g., AWS, Azure AI, CISSP).

Why This Role Is Different

This is not a traditional compliance role.

You will:

  • Work directly with AI systems and tooling, not just policies
  • Influence how AI is implemented across the company
  • Act as a technical gatekeeper and enabler for AI adoption
  • Bridge the gap between legal requirements and real-world system behavior

Why Minitab

Minitab has a long-standing commitment to precision, trust, and responsible innovation. As we expand into AI-driven capabilities, we are investing in building one of the most practical and technically grounded AI governance programs in the industry.

You'll join a growing, multidisciplinary team spanning legal, compliance, and engineering, with the opportunity to shape how AI is safely deployed at scale.

Ready to Build Responsible AI Systems?

Apply today and help define how AI is governed-not just in policy, but in practice.

Our Benefits:

HEALTH INSURANCE:  Medical, Dental, and Vision Insurance is provided at no cost for full-time employees upon date of hire. Low co-pay pharmacy benefit and affordable family coverage plan is available. Short and Long Term Disability is fully paid by Minitab. Employee Assistance Program (EAP) - Provides guidance for personal issue and information on other Work Life Matters.

LIFE INSURANCE:  Group Term Life Insurance is provided at no cost for full-time employees at three times employee base salary. Minitab provides eligible employees the opportunity to purchase Voluntary Life Insurance for themselves and eligible dependents at affordable rates.

RETIREMENT PLANNING:  A 401k Retirement Plan with T. Rowe Price is provided with eligible employee contribution immediately. Minitab will match dollar for dollar up to the first 6% of employee's contribution. Employees are fully vested in the Minitab, LLC 401(k) Retirement Plan upon date of hire.

PAID TIME OFF:  Paid holidays, as well as 4 weeks of annual paid time off are provided. The annual paid time off increases one week every five years.

HIGHER AND PROFESSIONAL DEVELOPMENT:  The pursuit of ongoing development is important and valued at Minitab. In support of this value, Minitab offers tuition and related expenses assistance for both higher education and other professional development.

FLEXIBLE SPENDING ACCOUNT:  Medical and Dependent Care Reimbursement Accounts - Pre-tax Deductions. Parking and Transit - Pre-Tax Deductions.

HYBRID WORK SCHEDULE:  We offer a hybrid work model for eligible positions.

PREMIUM BENEFITS:  At our State College, PA Headquarters, there is an onsite gym, indoor swimming pool, yoga studio, movie theater, outdoor sand volleyball court, game room, arcade room and even a golf simulator. Personal training and nutrition counseling is available upon request.

This position is ineligible for visa sponsorship. 

To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.  

Job application remains open until filled.