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Senior Embedded Machine Learning Jobs in Mount Laurel, NJ

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

RELX

Senior Data Scientist

Philadelphia, PA

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

Elsevier

Senior Data Scientist

Philadelphia, PA

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ...

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All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Mount Laurel, NJ

Senior Embedded Machine Learning information

See Mount Laurel, NJ salary details

$74.8K

$143.4K

$191.6K

How much do senior embedded machine learning jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior embedded machine learning in Mount Laurel, NJ is $143,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $160,900.00 per year, depending on experience, location, and employer.

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

Senior Embedded Machine Learning jobs near you

Sr. Embedded Software Engineer-Test Automation

FORT Robotics

Philadelphia, PA • On-site

Full-time

Re-posted 29 days ago

Job description

In today's dynamic worksites, seamless collaboration between people and machines is essential. FORT's platform ensures safe, secure, and dynamic control that surpasses legacy systems and next-generation AI capabilities.

While autonomous machines offer significant advantages, they also introduce new safety challenges. FORT addresses these concerns by providing solutions such as the Wireless E-Stop, which allows operators to instantly stop any machine from a safe distance, enhancing safety during emergencies.

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility.

By ensuring communications integrity across any network, FORT empowers customers to protect their most valuable assets—people, data, and machines—ensuring they remain safe and secure.

We are searching for a dynamic and experienced Sr. Embedded Software Engineer-Test Automation to join our team and help us build the future for autonomous and robotic machines. 

Responsibilities 

  • Develop test methods and procedures to transition products from design into volume manufacturing. Design automated tests, frameworks, and fixtures for software and hardware validation, including integration, unit, and system testing as part of an end-to-end test framework. 
  • Execute regression, performance, stress, and reliability tests for Fort devices, manually or automatically. Establish test plans, procedures, and documentation to ensure repeatable and reliable testing. 
  • Collaborate with internal and external hardware and software design teams to identify, debug, and resolve new firmware and electrical hardware issues. 
  • Contribute to design reviews, defining testability requirements early in product development. 
  • Support the product engineering team in developing and maintaining R&D test environments. 
  • Work with manufacturing partners to create and document production test processes, including hardware and software. 
  • Support production and program management with the technical expertise required for special customer deliveries. 
  • Contribute to the re-engineering of current designs to improve quality and manufacturability. 
  • Work directly with customers at customer sites to help drive customer success through direct enablement. This could involve 10-20% travel. 

Preferred Qualifications 

  • Expertise in Pytest/test frameworks and scaling system design principles. 
  • Familiarity with C++ and MATLAB. 
  • Preferred degree in electrical engineering, computer science, or a related field. 
  • Skilled in requirement management tools (Jama, Polarion) and requirement testing. 
  • Experience in custom hardware design. 
  • Experience with safety standards like IEC 61508 and ISO 26262. 

Qualifications 

  • An engineer with 5+ years of experience designing and implementing tests for complex embedded products. 2+ years of experience in embedded software test automation and test framework development. 
  • Proficiency in software development (Python, Bash), including data analysis tools like Numpy and Pandas. Experience with hardware and software validation processes and infrastructures (Hardware-in-the-loop/Software-in-the-loop). 
  • Familiarity with containerization technologies like Docker, CI/CD tools (GitLab, Jenkins), and version control (Git). Skilled in designing custom hardware and software fixtures or tools for embedded system testing. Experienced with both wired (Ethernet, CAN, UART) and wireless (BLE, Wi-Fi, LTE) networking technologies. Able to track multiple efforts and report status to various stakeholders within Fort. 
  • Able to effectively communicate solutions, ideas, and processes to technical and non-technical staff in and outside of Fort. 
  • Growth-minded and looking for an opportunity to advance with Fort. 
  • Excited and enthusiastic when working on products and technologies that have a real impact. 

Apply