2

Remote Embedded Ai Jobs (NOW HIRING)

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Senior AI Engineer

New York, NY · On-site +1

$114K - $157K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

next page

Showing results 1-20

Remote Embedded Ai information

See salary details

$70K

$153.4K

$174K

How much do remote embedded ai jobs pay per year?

As of Aug 22, 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:

Infographic showing various Remote Embedded Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Senior Application Developer - Industrial Voice AI & Edge Applications

Cerence Operating Company

Remote

$107K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

A Moving Experience.

Frontline workers increasingly rely on intelligent, speech-enabled applications to access information, complete tasks, and interact with industrial systems. Cerence is bringing Voice AI and Embedded AI to tablets, industrial devices, HMIs, and operator interfaces across manufacturing environments.

Role Overview

The Senior Application Developer will build intelligent applications used directly by frontline workers and manufacturing operators. You will integrate Cerence SDK technologies, embedded Small Language Models (SLMs), speech interfaces, and enterprise workflows into tablets, rugged mobile devices, industrial HMIs, control panels, and other connected devices used across factory environments.

Your Impact

  • Build applications used directly on factory floors and industrial environments.
  • Integrate Cerence SDK and speech technologies into edge devices and operator workflows.
  • Enable voice-driven maintenance, troubleshooting, quality, safety, and productivity use cases.
  • Deliver embedded AI experiences using on-device SLMs and Edge AI technologies.
  • Create intuitive user experiences that improve frontline worker efficiency and operational visibility.

Key Responsibilities

  • Cross-Device Application Development: Build and maintain applications running on Android tablets, iOS devices, rugged handhelds, industrial HMIs, operator terminals, and other edge devices.
  • SDK & Middleware Integration: Integrate Cerence SDK technologies and develop middleware enabling STT, TTS, NLU, and voice-driven workflows.
  • Frontline Worker Applications: Build applications supporting maintenance, inspection reporting, troubleshooting, safety, quality, warehousing, and field service activities.
  • Frontline Process Applications: Develop interfaces for operator assistance, machine interactions, digital work instructions, and process monitoring.
  • Embedded AI & SLM Integration: Deploy and optimize embedded SLMs and AI capabilities for low-latency, offline-capable experiences.
  • Enterprise Connectivity: Connect applications with MES, ERP, PLM, Digital Twins, and industrial data services.

What You Bring

Mandatory (Must Have)

  • 5+ years of experience building production-grade embedded or edge applications for Android, iOS, tablets, ruggedized devices, industrial HMIs, or other connected devices used in operational environments.
  • Experience developing and deploying applications on Android, iOS, or equivalent embedded device platforms.
  • Experience integrating SDKs, middleware, APIs, and device-level capabilities.
  • Hands-on experience with Speech-to-Text, Text-to-Speech, Voice Assistants, or Conversational AI applications.
  • Experience deploying embedded AI, Small Language Models (SLMs), and on-device inference.
  • Strong proficiency in Kotlin, Java, C++, Swift, or similar technologies.
  • Experience building connected and offline-capable applications.

Good to Have (Highly Valued Plus)

  • Deep Android platform expertise including hardware integration, background services, device management, and performance optimization.
  • Industry 4.0 concepts including connected worker solutions, smart manufacturing, digital work instructions, digital twins, and predictive maintenance workflows.
  • Manufacturing, warehousing, logistics, maintenance, field service, or EHS applications.
  • OPC UA, MQTT, SCADA integrations, and industrial APIs.
  • LLMs, RAG, AI Copilots, Agentic AI systems, and multimodal AI.
  • Audio engineering including wake-word detection, Acoustic Echo Cancellation (AEC), beamforming, and microphone arrays.

Why Join the Team

  • Build the next generation of Voice AI experiences for frontline workers.
  • See your solutions deployed directly in manufacturing environments.
  • Work with Speech AI, Embedded AI, Edge AI, and Industry 4.0 technologies.
  • Operate with startup agility backed by Cerence's leadership in conversational AI.

Education & Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Embedded Systems, Electronics Engineering, Industrial Automation, or a related engineering discipline.
  • Equivalent practical experience developing edge and embedded applications will also be considered.

What we offer

We offer a generous compensation and benefits package (in addition to the base salary), including:

  • Salary range$107,000.00 USD - $172,600.00 USD It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors.

  • Annual bonus opportunity

  • Insurance coverage (medical, dental, vision, life, and disability)

  • Paid time off

  • Paid holidays

  • Company contribution to the RRSP (Registered Retirement Savings Plan)

  • Equity awards for certain positions and levels

  • Remote and/or hybrid work available depending on the position

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.

About Cerence

Cerence is a global leader in conversational AI and voice technologies, bringing intelligent voice experiences to automotive, enterprise, and industrial markets. Our technology powers some of the world's most advanced human-machine interfaces and is now transforming industrial and manufacturing environments.

Cerence Inc. (Nasdaq: CRNC andwww.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world's leading automakers - from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC - to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.

AsCerencelooks to the future and continues an ambitious growth agenda,we need someonetojointheteam and help build the future of voice and AI in cars. This is an exciting opportunity to joinCerence'spassionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:


- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.

- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).

- Demonstrative knowledge of information security through internal training programs.