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Embedded Machine Learning Jobs in New Jersey (NOW HIRING)

AI, Machine Learning & Advanced Analytics Use Cases * Identify and prioritize AI and advanced ... embedded into underwriting and actuarial workflows. Backlog Management, User Stories & Cross ...

... and embedded into business processes Champion a test and learn approach, enabling rapid ... of machine learning, advanced analytics, and Generative AI including large language models ...

... and embedded into business processes Champion a test and learn approach, enabling rapid ... of machine learning, advanced analytics, and Generative AI including large language models ...

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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.

Software Engineer-C, Python

Hatch Global Search

Middletown, NJ • Hybrid

$51.25 - $70.50/hr

Other

Posted 14 days ago


Job description

Software Engineer - Senior And Principal Levels

Our client is a well-established, growing software company. Their Linux application is developed using Scrum Agile methodology. Most development is done in C language; some Python is used. As the company experiences this period of growth we are looking for talented individuals who are motivated by overcoming difficult technical challenges in a collaborative environment to join the team. Ideal candidates for these positions will love to code and have extensive experience developing algorithms and data structures for multi-threaded high performance software in C on Linux platforms. Experience developing software for data protection, backup or data storage applications is desired. Hybrid position working in the office 3 days per week.

Responsibilities:
  • Work as a member of a Scrum team on the design and maintenance of software
  • Develop and assist in definition of new product features and requirements
  • Integrate software modules and ensure the system operates to meet requirements
  • Develop and implement unit automated tests and quality improvements, support QA testing
  • Be a key contributor in this small, challenging and collaborative environment
  • Reverse engineer complex data formats a plus
  • Manage your work and time with a hybrid work model
  • Work with support organization to fix issues identified in customers bug reports
Required / Desired Skills And Experience:
  • BS or MS in Computer Science or other technical discipline or equivalent experience
  • Strong skills in C programming and development on Linux platforms
  • Extensive knowledge of data structures and algorithms
  • A lot of focus is on performance and optimization. Experience developing high-performance algorithms and analyzing code to optimize is desired
  • Experience with Python scripting is greatly preferred. Bash is a plus
  • Team player with strong interpersonal skills
  • Familiarity with Microsoft development environments a plus
  • Experience with any of the following is a plus: data protection, backup, data storage; pthread; security; ransomware; embedded systems development with C; parallel, distributed or complex system programing project experience; machine learning; writing software that manipulates data at the bit and byte level.