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 ...
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 ...
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Quick apply
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Sunnyvale, CA · On-site
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Forward Deployment Engineer / Customer-Embedded AI Engineer Role Summary: Accellor is looking for a Forward Deployment Engineer to work directly with strategic customers and help deploy frontier AI ...
Forward Deployment Engineer / Customer-Embedded AI Engineer Role Summary: Accellor is looking for a Forward Deployment Engineer to work directly with strategic customers and help deploy frontier AI ...
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Forward Deployment Engineer / Customer-Embedded AI Engineer Role Summary: Accellor is looking for a Forward Deployment Engineer to work directly with strategic customers and help deploy frontier AI ...
Embedded Ai Engineer information
See salary details
$70K - $79.5K
1% of jobs
$79.5K - $88.9K
2% of jobs
$88.9K - $98.4K
3% of jobs
$98.4K - $107.8K
6% of jobs
$107.8K - $117.3K
5% of jobs
$117.3K - $126.7K
5% of jobs
$130K is the 25th percentile. Wages below this are outliers.
$126.7K - $136.2K
5% of jobs
$136.2K - $145.6K
7% of jobs
$145.6K - $155.1K
3% of jobs
$155.1K - $164.5K
3% of jobs
The median wage is $165.8K / yr.
$164.5K - $174K
58% of jobs
$70K
$153.4K
$174K
How much do embedded ai engineer jobs pay per year?
What is an embedded AI engineer?
What are the key skills and qualifications needed to thrive as an embedded AI engineer?
How does an embedded AI engineer typically collaborate with hardware and software teams during a project?
What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?
| Criteria | Embedded Ai Engineer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systems | Bachelor's or Master's in Computer Science, Data Science, or related; strong programming skills |
| Work Environment | Embedded systems, IoT devices, hardware integration | Data centers, cloud platforms, software development environments |
| Employer & Industry Usage | Consumer electronics, automotive, IoT companies | Tech firms, startups, research institutions |
| Common Search & Comparison | Yes | No |
Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.
What cities are hiring for Embedded Ai Engineer jobs?
Cities with the most Embedded Ai Engineer job openings:
What states have the most Embedded Ai Engineer jobs?
States with the most job openings for Embedded Ai Engineer jobs include:
What job categories do people searching Embedded Ai Engineer jobs look for?
The top searched job categories for Embedded Ai Engineer jobs are:

Senior Application Developer - Industrial Voice AI & Edge Applications
Remote
$107K - $172K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 1 hour ago
Job description
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 EMPLOYERCerence 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.