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Embedded Machine Learning Jobs in New Jersey (NOW HIRING)

Yochana

ML Architect

Princeton, NJ

$66.50 - $86.75/hr

• Key Skills - Experience with Azure Machine Learning, Azure OpenAI, Azure DevOps, and AKS. • ... embedded in the ML lifecycle. • Monitor and troubleshoot production ML systems, ensuring high ...

AllSTEM Connections

Data Scientist I (Assistant)

Rahway, NJ · On-site

$104K - $114K/yr

... machine learning workflows and rigorous statistical analyses to help accelerate the discovery of next-generation medicines. As an embedded member of a cross-functional scientific computing group, you ...

Burlington

Software Engineer

Edgewater Park, NJ · On-site

$80K - $105K/yr

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

Burlington

Software Engineer

Beverly, NJ · On-site +1

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

Burlington Stores

Software Engineer

Beverly, NJ · On-site

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

Hatch Global Search

Software Engineer-C, Python

Matawan, NJ · Hybrid

$52 - $71.50/hr

... 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.

Hatch Global Search

Software Engineer-C, Python

Matawan, NJ · Hybrid

$52 - $71.50/hr

... 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.

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in New Jersey

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:
What are popular job titles related to Embedded Machine Learning jobs in New Jersey? For Embedded Machine Learning jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in New Jersey look for? The top searched job categories for Embedded Machine Learning jobs in New Jersey are:
Embedded Machine Learning jobs near you
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.
Senior Embedded Linux / BSP Engineer (Smart Appliance / IoT)

Senior Embedded Linux / BSP Engineer (Smart Appliance / IoT)

Chefman

Mahwah, NJ

$150K - $170K/yr

Full-time

Posted 25 days ago

Job description

We are developing a next-generation, smart kitchen appliance featuring on-edge AI food recognition, a rich touchscreen user interface, and Wi-Fi cloud and Bluetooth connectivity. We are seeking a Senior Embedded Linux / BSP Engineer to own the foundational operating system development.

In this role, you will build, secure, and maintain a highly optimized, production-ready Linux distribution using the Yocto Project or other build environments. You will act as the critical bridge between our custom hardware and our application software layers, ensuring safety, reliability, and seamless hardware-software integration.

Core Responsibilities

  • BSP & Custom Distribution Development: Design, configure, and maintain a custom, lightweight Embedded Linux distribution utilizing the Yocto Project.
  • Kernel & Bootloader Customization: Optimize and patch U-Boot and the Linux Kernel. Write and maintain Device Trees (.dts/.dtsi) to configure pin multiplexing (pinmux) for display, camera, and peripheral interfaces.
  • Peripheral Driver Integration: Configure and validate Linux drivers for critical hardware subsystems, specifically MIPI-CSI camera sensors, touchscreens, Wi-Fi/Bluetooth modules, and high-speed storage.
  • Processor Inter-Communication: Implement and harden a reliable, secure communication protocol (UART/SPI) between the Linux host and a secondary safety microcontroller.
  • System Hardening & Security: Implement Secure Boot, encrypted storage, firewalls, and user privilege separation to satisfy consumer appliance security standards.
  • OTA Infrastructure: Architect and integrate a robust, fail-safe Over-the-Air (OTA) update system capable of dual-partition system recovery.
  • Production Flashing: Collaborate with hardware and factory teams to create minimal, stable manufacturing images for high-volume automated flashing.

Required Technical Qualifications

  • 5+ years of experience in Embedded Linux development with a track record of shipping commercial, mass-production IoT or consumer electronics devices.
  • Expert-level proficiency with the Yocto Project (writing custom layers, BitBake recipes, .conf files, and managing dependencies).
  • Strong capability to read hardware schematics and collaborate closely with electrical engineers to bring up new hardware revisions.
  • Deep knowledge of Linux kernel driver architecture and low-level communication buses (I2C, SPI, UART, PWM, MIPI-CSI).
  • Proficiency in C, C++, Python, and Shell scripting.

Preferred Qualifications

  • Experience integrating machine learning deployment frameworks (TensorFlow Lite, ONNX Runtime).
  • Familiarity with appliance safety certifications (e.g., UL 197 / UL 60730) and regulatory compliance (FCC/CE).
Salary Range (commensurate with experience)
$150,000—$170,000 USD