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Embedded Machine Learning Jobs in New Jersey (NOW HIRING)

Senior Wireless Firmware Engineer

New Providence, NJ · Remote

$125K - $166K/yr

Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected ... You will work across embedded firmware, wireless drivers, and system-level software to enable high ...

Build and manage an AI Champion Network--a distributed group of power users embedded in business ... Strong understanding of data science, machine learning, and analytics concepts--enough to serve as ...

Head of Regulatory Systems Strategy

East Hanover, NJ · On-site

$159K - $210K/yr

Ensure regulatory processes are embedded within S/4 standard and extended capabilities. Required ... Understanding of machine learning, AI frameworks (e.g., TensorFlow, PyTorch), and data pipelines ...

Understanding ofArtificial Intelligence, Machine Learning, Data Science and Robotic Process ... Workflows technology and end-to-end related processes, highlighting risks and controls embedded ...

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Embedded Machine Learning information

See New Jersey salary details

$71.1K

$155.7K

$176.7K

How much do embedded machine learning jobs pay per year?

As of Jun 17, 2026, the average yearly pay for embedded machine learning in New Jersey is $155,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $175,600.00 per year, depending on experience, location, and employer.

Will AI replace embedded programmers?

Embedded machine learning involves developing algorithms for resource-constrained devices, and while AI tools can assist with coding and optimization, embedded programmers are essential for designing, implementing, and maintaining these systems. AI is more likely to augment their work rather than fully replace them, especially given the need for specialized knowledge of hardware and real-time constraints.

Is embedded AI a good career?

Embedded machine learning involves developing AI models for hardware with limited resources, such as IoT devices and embedded systems. It is a growing field with demand for skills in hardware programming, C/C++, and AI frameworks, offering opportunities in industries like automotive, healthcare, and consumer electronics.

Is embedded systems still a good career in 2026?

Embedded Machine Learning remains a strong career in 2026 as industries increasingly adopt AI-powered devices and IoT solutions. Professionals with skills in hardware programming, real-time systems, and machine learning frameworks like TensorFlow Lite are in demand for developing intelligent embedded applications. Continuous learning and familiarity with microcontrollers, sensors, and embedded software development are essential for long-term growth in this field.

What engineers make $500,000?

Senior engineers in specialized fields such as embedded machine learning, AI, or data science can reach salaries of $500,000 or more, especially with extensive experience, advanced skills in programming and hardware, and leadership roles. High compensation often involves working in high-demand industries, with additional bonuses or stock options contributing to total earnings.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in the Embedded Machine Learning position, and why are they important?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are the most commonly searched types of Embedded Machine Learning jobs in New Jersey? The most popular types of Embedded Machine Learning jobs in New Jersey are:
Infographic showing various Embedded Machine Learning job openings in New Jersey as of June 2026, with employment types broken down into 77% Full Time, 11% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $155,720 per year, or $74.9 per hour.
Adjunct Faculty, Department of Electrical and Computer Engineering

Adjunct Faculty, Department of Electrical and Computer Engineering

Rowan University

Glassboro, NJ • On-site

Part-time

Posted 15 days ago


Rowan University rating

8.4

Company rating: 8.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

76th of 537 rated colleges and universities


Job description

Adjunct Faculty, Department of Electrical and Computer Engineering
Job no: 500591
Work type: Temporary Part-Time
Location: Glassboro, New Jersey
Categories: Faculty - Henry M. Rowan College of Engineering
Adjunct Faculty Positions in All Areas of Electrical and/or Computer Engineering
If you have prior academic or industrial experience, a passion for hands-on, project-based teaching, and would like to share your knowledge and wisdom with an enthusiastic group of students, and indeed shape the next generation of our nation's workforce, we want you in our classrooms and laboratories.
With a dramatic increase in undergraduate and graduate enrollment and a new building that allows us to expand, the Electrical and Computer Engineering Department (www.rowan.edu/ece) at Rowan University is growing. To support this robust growth, we seek energetic and innovative teacher-scholars as Adjunct Faculty who are interested in sharing their knowledge and wisdom with our students and share our commitment to excellence in engineering education.
Our Adjunct Faculty, who are typically active or retired industry professionals, constitute an important part of the fabric of the Rowan ECE community as they bring their unique experiences and perspectives to our department.
The successful candidates will be responsible for teaching innovative, project-based courses in the electrical and computer engineering curriculum. These courses may be core or elective, depending on the applicant's area of expertise. We welcome qualified and dedicated individuals with a background in all areas of ECE, including but not limited to:
Core topics
  • Digital and embedded systems,
  • Computer architecture,
  • Circuits, electronics, power electronics,
  • VLSI design, chip design, advanced chip manufacturing, solid-state systems
  • Control systems,
  • Signal and image processing,
  • Communication systems,
  • Electromagnetics and modern antenna systems

Electives
  • RF / microwave systems
  • Systems engineering
  • Power systems, renewable and alternative energy systems, modern battery systems
  • Robotics
  • Machine learning / artificial intelligence
  • Cybersecurity, cyber-physical systems
  • Your favorite emerging topic in any area that relates to ECE

As a department, we greatly value experiential and project-based learning, integrating emerging topics and technologies into the curriculum, and providing an outstanding and state-of-the-art array of equipment, instruments, rapid prototyping, fabrication and computational resources to support such activities. Our dedication to project-based learning is reflected in our curriculum, as all our courses include lab/project components. As a result, we seek individuals who share this dedication, possess the skills and passion to develop innovative hands-on lab projects or other experiential learning activities using appropriate modern tools, and have the ability to integrate such projects/activities into the course content.
Applicants must have earned at least a Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline. Individuals with industry and/or academic experience are particularly encouraged to apply.
Effective communication skills, the capacity to collaborate with multi-disciplinary student and faculty teams, and the capability to teach in a project-based environment are essential. The position is part-time, non-tenure-track, with renewable contracts contingent upon performance (including student evaluations), departmental needs, and university and budgetary approvals. The review of applications will commence immediately and continue as new needs arise.
For full consideration, applications should include the following items:
  1. A cover letter summarizing qualifications and the applicant's interest in the position
  2. Current and detailed CV
  3. Statement of teaching interests, including the list of courses the applicant feels most qualified to teach, and teaching philosophy.
  4. Names and contact information for two professional references (an optional personal reference may also be added)
  5. Unofficial transcripts. Please note that successful candidates will be asked to submit official transcripts. Therefore, submitting an official transcript at the time of application, if available, will expedite the hiring process. Transcripts issued to the applicant are acceptable.
  6. Optionally, additional relevant documentation (such as student evaluations from former teaching engagements, examples of innovative curricular components developed by the applicant, examples of industrial design experience that may be leveraged in class, etc.) may be submitted in an Appendix as a separate file.

The application must be submitted through our online application system. https://jobs.rowan.edu/en-us/listing/
Questions can be directed to polikar@rowan.edu, Dr. Robi Polikar, Department Head, Department of Electrical & Computer Engineering. Additional departmental information can be found at http://www.rowan.edu/ece
Rowan University is committed to creating a welcoming environment for all employees. All qualified applicants will receive consideration for employment without regard to age, ethnicity, race, religion, sex, gender identity or expression, genetic information, marital status, national origin, (dis)ability status, military status, and other NJ protected classes. Rowan University does not discriminate on the basis of sex in its educational programs and activities, including employment as required by Title IX. Rowan is committed to providing access, equal opportunity, and reasonable accommodation for individuals with (dis)abilities.
To request reasonable accommodation, contact Christy Mroz, Administrative Assistant, OEE@rowan.edu, 856-256-5494. Rowan strongly encourages applicants from underrepresented groups to apply.
NOTES:
  • Only completed, online applications submitted on or before the deadline will be considered.
  • All positions are contingent upon budget appropriations.

Please note: candidates must be eligible to work in the United States. The University will not sponsor a visa for this position.
In compliance with The State of New Jersey's Pay Transparency Act, and in accordance with the current MOA, Rowan University adjuncts are provided with a minimum of $1,975 per credit for all courses taught, with a maximum teaching load of 8 credits per semester and 12 credits in an academic year. Courses will be assigned to instructors by College & Department on an as-needed basis.
Advertised: May 2 2025 Eastern Daylight Time
Applications close:
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