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Senior Embedded Machine Learning Jobs in Illinois

Mantu

Embedded AI Architect

Peoria, IL · On-site

$169K/yr

We are looking for a senior embedded AI architect with hands-on experience on NVIDIA edge computing platforms to support the design and deployment of machine safety and operator detection systems on ...

Resideo

Sr Embedded Engineer

Aurora, IL · On-site

$99K - $135K/yr

We are seeking a highly skilled and experienced Senior Embedded Firmware Engineer to lead the ... learning. YOU MUST HAVE: * 5+ years of experience in embedded firmware development, with a focus on ...

Resideo

Sr Embedded Engineer

Aurora, IL · Hybrid

$99K - $135K/yr

We are seeking a highly skilled and experienced Senior Embedded Firmware Engineer to development of ... learning. YOU MUST HAVE: * 5+ years of experience in embedded firmware development, with a focus on ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

As a Senior Machine Learning Engineer in Product & Technology, you will help Paylocity build and deploy Machine Learning solutions, to help our teams build better products faster, more reliably, and ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

Actalent

Embedded Software Engineer

Chillicothe, IL · On-site

$60 - $75/hr

Senior Embedded Integration Developer This role focuses on designing, building, and integrating ... Support machine connectivity and interface development using approved communication protocols and ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

PayPal, Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

Develop and optimize machine learning models for various applications. * Preprocess and analyze ... g., SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 The base pay ...

PayPal

Sr Machine Learning Engineer

Chicago, IL

$57.50 - $76/hr

Develop and optimize machine learning models for various applications. * Preprocess and analyze ... , SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 - The base pay ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Caterpillar

Senior Machine Learning Engineer

Mossville, IL · On-site

$112K - $183K/yr

As a Machine Learning Infrastructure Engineer, you will be responsible for developing and deploying a robust full-stack pipeline that can support various perception/planning/prediction projects. In ...

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All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Illinois

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 Embedded Machine Learning jobs near you

Embedded AI Architect

Mantu

Peoria, IL • On-site

$169K/yr

Other

Posted 11 days ago

Job description

We are looking for a senior embedded AI architect with hands-on experience on NVIDIA edge computing platforms to support the design and deployment of machine safety and operator detection systems on heavy industrial equipment.


Responsibilities:

  • Define and document the embedded AI architecture for NVIDIA Orin NX and Thor IGX platforms across multiple product lines
  • Translate high-level commercial requirements into hardware/software architecture blueprints
  • Evaluate performance vs. cost trade-offs across platform tiers (ECM, Orin NX, Thor IGX)
  • Collaborate with product, safety, and integration teams to align architecture with production timelines
  • Support feature set definition and roadmap planning for aftermarket-to-autonomy upgrade paths
  • Present architecture proposals to senior stakeholders and VP-level leadership


Profile Requirement

  • 5+ years in embedded systems architecture, preferably in industrial, automotive, or heavy equipment environments
  • Hands-on experience with NVIDIA Jetson / Orin NX / Thor IGX platforms
  • Strong understanding of object detection, segmentation, and perception pipelines on edge hardware
  • Familiarity with hardware/software integration constraints in safety-critical environments
  • Experience working within cost-driven, requirements-based engineering organizations
  • Ability to operate in ambiguous, fast-moving programs with accelerated delivery timelines
  • 4 days on site in peoria

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