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Remote Embedded Ai Jobs (NOW HIRING)

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 ...

As an embedded AI Engineer in Customer Success, you'll design, build, test, deploy, and ... a remote position open to candidates residing in the US except the San Francisco Bay Metro Area ...

As an embedded AI Engineer in Customer Success, you'll design, build, test, deploy, and ... a remote position open to candidates residing in the US except the San Francisco Bay Metro Area ...

Sr Software Engineer, Embedded

WA · Remote

$150K - $185K/yr

The position will start remote and then will move into the hybrid schedule. Job Requirements ... Experience leveraging generative AI developer tools (e.g., Claude Code, GitHub Copilot) to design ...

Embedded Software Manager

Menlo Park, CA · On-site +1

$170K - $200K/yr

... onsite + remote) at our Menlo Park HQ . The salary will be adjusted to reflect local market ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Remote (PST) / San Francisco Bay Area About the role: We're pairing craft with AI velocity--and we need a Design Director to lead it. We've launched an embedded, AI-native creative studio for one of ...

Embedded Software Manager

Menlo Park, CA · On-site +1

$170K - $200K/yr

... onsite + remote) at our Menlo Park HQ . The salary will be adjusted to reflect local market ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Showing results 41-60

Remote Embedded Ai information

See salary details

$70K

$153.4K

$174K

How much do remote embedded ai jobs pay per year?

As of Sep 12, 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 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 are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

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 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 are popular job titles related to Remote Embedded Ai jobs?

For Remote Embedded Ai jobs, the most frequently searched job titles are:

Infographic showing various Remote Embedded Ai job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, 2% Part Time, 2% Temporary, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Design Director

Denver, CO • Remote

Full-time

Posted 10 days ago


Job description

Role: Design Director

Location:  San Francisco Bay Area or Remote (PST)

About the role: 

We're pairing craft with AI velocity-and we need a Design Director to lead it.

We've launched an embedded, AI-native creative studio for one of the world's most influential B2B tech brands-a global platform company serving 85% of the Fortune 500. This isn't a traditional agency setup. You'll be leading an established, high-output creative studio that operates as a seamless extension of the client's internal global brand team. Your mission: to scale their vision with relentless craft and speed. That means taking hero campaigns, brand systems, and creative playbooks-and turning them into flawless assets across regions, channels, and formats. You'll direct a multi-disciplinary team, set the bar for quality, and ensure that every piece of work-whether it's a flagship moment or a localized event-feels unmistakably on-brand. If you're energized by the idea of combining creative excellence with operational rigor, and you thrive when empowering teams to do their best work at scale, we'd love to talk.

What you will be doing: 

Creative Direction and Quality

  • Direct and develop a multi-level creative team - running internal critiques, sharpening executions, and building a culture where high standards are the shared expectation
  • Contribute directly to concepting and design, bringing hands-on skill to the team's output and elevating work at every stage of production
  • Act as the studio's final quality check, reviewing and auditing all creative work before it reaches the client
  • Ensure every asset the studio produces is faithful to the client's brand guidelines, voice, and creative vision - from flagship campaign heroes to localised regional content

Team Leadership and Capability Building

  • Develop team members' skills and creative output through regular coaching, feedback, and structured knowledge-sharing
  • Identify opportunities to improve creative processes and introduce smarter ways of working
  • Build an inclusive, collaborative team culture where diverse perspectives strengthen both creative output and working relationships

Client Partnership and Studio Operations

  • Partner with the OLIVER Business Director to manage studio operations, timelines, and the overall client experience
  • Maintain strong working relationships with client creative directors, account leads, producers, and project managers
  • Manage and prioritise team workloads across high-volume delivery cycles, adapting quickly when priorities or timelines shift

AI Integration and Innovation

  • Lead the integration of generative AI tools into creative workflows, setting quality standards and governance for AI-assisted output at studio level
  • Drive AI adoption and share best practice across the team and the wider OLIVER network
  • Apply an agentic approach to complex creative and operational challenges - breaking problems down systematically and identifying efficient, high-quality paths forward 

What you need to be great in this role: 

  • A strong portfolio demonstrating brand system expertise, campaign craft, and multi-format creative execution at scale
  • Proven experience leading and developing multi-disciplinary creative teams in high-volume, fast-paced environments - agency, in-house, or embedded studio backgrounds all welcome
  • Deep expertise in brand identity and creative systems, with a track record of maintaining quality and consistency across diverse markets, channels, and formats
  • Experience leading creative quality processes - running critiques, setting standards, and developing team members' output
  • A collaborative, stakeholder-savvy approach, with the ability to build strong working relationships with senior clients, account teams, and cross-functional partners
  • Strategic awareness of how generative AI can enhance creative quality and delivery efficiency, combined with the judgment to evaluate outputs critically and maintain creative standards
  • Advanced proficiency with generative AI tools - including Midjourney, Adobe Firefly, or equivalent - and experience building AI-assisted workflows within a creative team
  • Expert proficiency with the Adobe Creative Suite and Figma
  • Strategic integration of generative AI across studio projects and operations
  • Experience setting AI quality standards and governance at studio or team level
  • Agentic leadership: a systematic, goal-oriented approach to complex creative and operational challenges
  • Drives AI adoption and shares best practice across teams and into client partnerships
  • Strong understanding of AI capabilities and limitations, with rigorous human oversight and critical evaluation of outputs
Req ID: 18612#LI-SP1 #LI-DIRECTOR #LI-REMOTE