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Senior Embedded Machine Learning Jobs in Illinois

Embedded SW Sr. Engineer

Mossville, IL · On-site

$127K - $169K/yr

Design and develop application software using Embedded C & C++ for Medium L WL models/machines ... Sr. Engineer / R0000371355] #LI-DNI Visa Sponsorship is not available for this position. Posting ...

Cardiac Technician

Des Plaines, IL · On-site

$28 - $32/hr

Our core technology team includes leading minds in data science, embedded machine learning, wearable technology, and signal processing, and we're backed by some of the most respected investors in the ...

Cardiac Technician

Des Plaines, IL · On-site

$28 - $32/hr

Our core technology team includes leading minds in data science, embedded machine learning, wearable technology, and signal processing, and we're backed by some of the most respected investors in the ...

Cardiac Technician

Des Plaines, IL · On-site

$28 - $32/hr

Our core technology team includes leading minds in data science, embedded machine learning, wearable technology, and signal processing, and we're backed by some of the most respected investors in the ...

Cardiac Technician

Des Plaines, IL · On-site

$28 - $32/hr

Our core technology team includes leading minds in data science, embedded machine learning, wearable technology, and signal processing, and we're backed by some of the most respected investors in the ...

Senior Data Engineer

Chicago, IL · On-site

$140K - $170K/yr

... machine learning to help IT and business leaders make better decisions faster, operationalize AI ... Develop and optimize reporting and analytics experiences delivered through embedded analytics ...

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Sr. Data Scientist

Chicago, IL · On-site

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

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Showing results 1-20

Senior Embedded Machine Learning information

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.

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 are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

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 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 most commonly searched types of Embedded Machine Learning jobs in Illinois? The most popular types of Embedded Machine Learning jobs in Illinois are:
Senior Cyber Embedded Software Engineer

Senior Cyber Embedded Software Engineer

Motorola

Schaumburg, IL

$121K - $159K/yr

Full-time

Medical, Dental, Retirement

Re-posted 16 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewOur Applied Technology organization puts some of Motorola Solutions' brightest minds on unique, highly challenging projects. Based on decades of experience with our customers, we apply leading-edge technologies to support security and safety throughout the world. We engineer our products from start to finish and manufacture them in-house. We're known for low volume and high capability with focused specialization in areas including software-defined radios, advanced antenna solutions, artificial intelligence and machine learning, reverse engineering, cybersecurity, signals intelligence and more. We can't tell you much more about what we do, but we can tell you it's amazing.
Job Description

Ideal candidates for this position are software engineers with strong knowledge and hands-on experience in embedded systems, telecommunications protocols, reverse engineering, and cybersecurity. We are seeking an experienced professional capable of working in the full spectrum of computer-network operations to architect, design, and implement secure embedded systems.
You will be a member of a small multi-disciplinary team, and will be responsible for performing vulnerability analysis of existing systems, developing source and binary patches, and developing new secure systems.
In this role, you will also be asked to discover how technologies and software work through a combination of hands-on experimentation, static analysis, and document research. You will have an understanding of how hardware and software interact in microprocessors at the register level; have a firm grasp on network protocol and security standards; imagine unique and novel solutions to hard and unsolved problems. You will use this knowledge to develop proofs-of-concept, requirements, designs, implementations, testing procedures for new products, and write whitepapers to win new business.
You must be a flexible, results-oriented problem-solver who requires minimal supervision. Projects can vary greatly from one to the next, so you must thrive on variety and enjoy taking on new challenges.

Specific Skills/Knowledge:

  • Experience with disassembly tools (e.g Ghidra, IDA Pro, and Radare2) and debug tools (e.g GDB and JTAG)

  • Experience using Wireshark for packet analysis

  • Understanding of executable file formats (ELF, PE, or similar), linkers, compilers

  • Preferred familiarity with OSI model layer three and higher networking protocols (IP, TCP, UDP, TLS, SIP, SRTP)

  • Preferred experience reading, writing, analyzing at least one of ARM, MIPS, PPC, x86 assembly

  • Familiarity with security principles such as data separation, side-channel attacks, least-privilege, access controls, encryption protocols, keys exchanges, and can advise others on their proper implementation

  • Strong interpersonal, written, and verbal communication skills

  • Excellent understanding of real-time embedded software design and be proficient in Linux, C, C++, Python and other software languages and operating systems.

  • Active TS/SCI clearance preferred.

#AppliedTech #LI-JM2 #LI-ONSITE


Basic Requirements
  • Bachelor's (BS) or Master's (MS) degree, preferably in Computer Engineering, Software Engineering, or Computer Science

  • Experience programming in C, C++, Python

  • Must be aU.S. citizenwith ability to obtain necessary security clearance as required by government contract. Some contracts may have higher-level clearance requirements.


Travel RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanYes

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928