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Deep Learning Accelerator Jobs in Chicago, IL (NOW HIRING)

R&D Tech I

Mccook, IL · On-site

$44K - $56K/yr

... Accelerator operating system and Honeywell Technologies Forge intelligence layer ... By combining the deep domain expertise of our more than 50,000 employees with decades of data from ...

R&D Tech I

Mccook, IL · On-site

$44K - $56K/yr

... Accelerator operating system and Honeywell Technologies Forge intelligence layer ... By combining the deep domain expertise of our more than 50,000 employees with decades of data from ...

This individual will combine deep technical expertise with a consulting mindset, partnering with ... Develop reusable AI accelerators, reference architectures, demonstrations, frameworks, and delivery ...

This individual will combine deep technical expertise with a consulting mindset, partnering with ... Develop reusable AI accelerators, reference architectures, demonstrations, frameworks, and delivery ...

This individual will combine deep technical expertise with a consulting mindset, partnering with ... Develop reusable AI accelerators, reference architectures, demonstrations, frameworks, and delivery ...

AI Architect for SAP

Mundelein, IL · On-site

$84 - $113/hr

The ideal candidate will bring deep expertise in Generative AI, Agentic AI, Enterprise AI ... accelerators, and implementation patterns. SAP AI Solution Architecture • Design AI-enabled ...

Showing results 21-40

Deep Learning Accelerator information

See Chicago, IL salary details

$11.3K

$86.4K

$144.2K

How much do deep learning accelerator jobs pay per year?

As of Sep 11, 2026, the average yearly pay for deep learning accelerator in Chicago, IL is $86,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $143,200.00 per year, depending on experience, location, and employer.

What is a deep learning accelerator?

Deep Learning Accelerators are specialized hardware or systems designed to speed up the processing and training of deep learning algorithms, such as neural networks. They are optimized for the heavy computational demands of tasks like image recognition, natural language processing, and other AI applications. Examples include Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and custom-designed chips like Application-Specific Integrated Circuits (ASICs) and Field-Programmable Gate Arrays (FPGAs). These accelerators enable faster data processing, lower power consumption, and improved efficiency compared to general-purpose CPUs. As AI applications grow, the use of deep learning accelerators is becoming increasingly important in both research and industry.

What skills and qualifications are needed to thrive as a deep learning accelerator engineer?

To thrive as a Deep Learning Accelerator Engineer, you need a strong background in computer engineering, digital design, and machine learning, typically supported by a degree in computer science or electrical engineering. Experience with hardware description languages (such as Verilog or VHDL), FPGA/ASIC toolchains, and familiarity with deep learning frameworks like TensorFlow or PyTorch is essential. Problem-solving, teamwork, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating algorithmic requirements into efficient hardware solutions. These skills are vital to designing high-performance, energy-efficient hardware accelerators that advance AI capabilities and meet industry demands.

What are the main challenges faced when optimizing deep learning models for hardware accelerators?

One of the primary challenges in this role is bridging the gap between deep learning model requirements and the constraints of specialized hardware, such as GPUs, TPUs, or custom ASICs. This often involves model quantization, memory optimization, and adapting algorithms to exploit hardware parallelism while maintaining accuracy and efficiency. Collaboration with both hardware engineers and software developers is essential to ensure models run efficiently on target platforms, and staying current with evolving accelerator architectures is key to long-term success.

What is the difference between Deep Learning Accelerator vs Machine Learning Engineer?

AspectDeep Learning AcceleratorMachine Learning Engineer
Required CredentialsKnowledge of hardware design, FPGA/ASIC programming, deep learning frameworksDegree in Computer Science, Data Science, or related fields; experience with ML frameworks
Work EnvironmentHardware development labs, embedded systems, AI hardware companiesSoftware development environments, tech companies, research labs
Industry UsageAI hardware manufacturing, embedded AI solutionsAI/ML software development, data analysis, model deployment
Search & Comparison IntentFocus on hardware acceleration, AI hardware designFocus on software development, model building

Deep Learning Accelerators specialize in hardware design and optimization for AI workloads, working closely with hardware and embedded systems. Machine Learning Engineers develop and deploy ML models primarily through software, focusing on algorithms and data. While both roles involve AI, their core skills, work environments, and industry applications differ significantly.

Senior Manager - Energy Solutions (Midwest)

Chicago, IL • On-site

Honeywell
Furniture Manufacturing • 10K+ employees

$170K - $213K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Key responsibilities

  • Lead and oversee the execution of complex energy customer programs within scope, schedule, and budget.

  • Ensure alignment of energy programs with strategic business objectives and customer requirements.

  • Monitor and report program performance metrics to senior management.


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz


Job description

As a Senior Manager - Energy Solutions (Midwest) here at Honeywell, you will lead and oversee the successful execution of energy-related customer programs. You will be responsible for managing and delivering complex energy programs, ensuring alignment with strategic objectives, and driving program performance to meet business goals and customer requirements.


You will report directly to our leadership team and you'll work out of our Chicago, IL or Minneapolis, MN location on a hybrid work schedule.


In this role, you will impact the successful execution and enhancement of energy programs, contributing to Honeywell Building Automation's mission to provide safe, energy-efficient, sustainable, and productive building solutions. Your leadership will ensure program quality, timely delivery, and customer satisfaction, supporting the company's growth in the energy sector.


KEY RESPONSIBILITIES


Lead and oversee the execution of complex energy customer programs within scope, schedule, and budget
Ensure alignment of energy programs with strategic business objectives and customer requirements
Identify and mitigate program risks and issues to maintain program health and delivery
Collaborate with cross-functional teams and customers to ensure program success and stakeholder satisfaction
Provide leadership and guidance to program teams, fostering a culture of continuous improvement and innovation
Monitor and report program performance metrics to senior management

Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.

BENEFITS OF WORKING FOR HONEYWELL


In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)

The annual base salary range for this position is $170,000 - $213,000 USD. Actual compensation will be determined based on factors such as relevant experience, education, skills, certifications, geographic location, and business needs. In addition to base salary, this position may be eligible for annual incentive compensation and a comprehensive benefits package, subject to applicable plan terms and company policies.


The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: August 27, 2026


YOU MUST HAVE


Minimum of 8 years of experience in program management or related roles within the energy or building automation sector with ESPC or EPC delivery models
Strong leadership and team management skills with a proven ability to manage complex customer programs
Excellent strategic thinking and problem-solving skills to align programs with business goals
Strong understanding of program management principles and methodologies, including risk management and issue resolution
Experience managing programs with multiple stakeholders in a matrix organization

WE VALUE


Bachelor's degree in Electrical or Mechanical Engineering, Business, or related field
Experience managing energy or building automation programs with solar energy components
Strong negotiation and influencing skills to drive program success
Ability to adapt to a fast-paced and changing environment
Passion for innovation and continuous learning

ABOUT HONEYWELL TECHNOLOGIES


Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy. Learn more (https://www.honeywell.com/us/en)


THE BUSINESS UNIT


Honeywell Building Automation (BA) is a leading global provider of products, software, solutions, and technologies that enable building owners and occupants to ensure their facilities are safe, energy efficient, sustainable, and productive. BA products and services include advanced software applications for building control and optimization; sensors, switches, control systems, and instruments for energy management; access control; video surveillance; fire products; and installation, maintenance, and upgrades of systems. Revenues in 2022 for BA were $6B and there are approximately 18,000 employees globally. To learn more, please visit https://buildings.honeywell.com/ (https://buildings.honeywell.com/)


Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more (https://www.honeywell.com/us/en/company/inclusion-and-engagement)


Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.


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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906