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Deep Learning Accelerator Jobs in Illinois (NOW HIRING)

Mars

Senior Manager R&D - Nature's Bakery

Chicago, IL · On-site

Accelerator is Mars Snacking's growth engine, focused on unlocking growth across high-potential ... Deep expertise in product innovation, formulation, ingredient functionality, prototyping, product ...

Honeywell

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 ...

Honeywell

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 ...

AArete

AI Solutions Leader

Chicago, IL · On-site

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

AArete

AI Solutions Leader

Chicago, IL · On-site

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

AArete

AI Solutions Leader

Chicago, IL · On-site

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

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Deep Learning Accelerator information

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.

What cities in Illinois are hiring for Deep Learning Accelerator jobs?

Cities in Illinois with the most Deep Learning Accelerator job openings:

Deep Learning Accelerator jobs near you

Senior Manager R&D - Nature's Bakery

Chicago, IL • On-site

Mars
See more jobs at Marsexternal

Full-time

Medical, Dental, Retirement, PTO

Posted 4 days ago

Mars Inc. rating

7.7

Company rating: 7.7 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

Job description

Job Description:

Who Are We?

Accelerator is Mars Snacking's growth engine, focused on unlocking growth across high-potential categories and brands. Within Accelerator sits Nature's bakery alongside the Better For You portfolio includes KIND, RXBAR, Nutri-Grain, Special K Bars, and Pure Organic. Combining the scale of Mars with the agility of a growth business, we are driving innovation, accelerating performance, and transforming how we work through data, automation, and AI-enabled solutions.

We're looking for passionate collaborators to help us become the foremost leader in Mars Snacking and positively impact society along the way. If you're looking to be a part of an inspiring, energetic and entrepreneurial environment, you've found the right place.

What You'll Do

As the Senior Manager R&D for Nature's Bakery, you will lead product development activities while providing advanced technical leadership for product innovation, solving complex problems, and building functional capability across the portfolio. You will serve as the technical leader for a team of three direct reports, guiding their professional development and managing resource allocation, while remaining actively engaged on the benchtop leading and developing high-impact innovation and renovation projects. This role operates with high autonomy and is accountable for technical delivery, prioritization, risk management, and associate development.

What will be your key responsibilities?
  • Set team priorities, direct product development activities, allocate work, manage delivery trade-offs, and coach up to three direct reports.
  • Plan and execute technical work to deliver product innovation, formulation, prototyping, product quality, scale-up, and commercialization readiness against project objectives, timelines, quality, safety, and compliance expectations.
  • Use data, experimentation, risk assessment, and technical judgment to make recommendations and resolve complex issues.
  • Partner with cross-functional teams including R&D, manufacturing, quality, supply chain, commercial, regulatory, and external partners.
  • Document assumptions, specifications, methods, decisions, learnings, and handoffs in accordance with governance requirements.
  • Lead complex investigations, establish best practices, influence technical strategy, develop talent, and ensure effective team performance.
What are we looking for?
  • Bachelor's degree in Food Science, Chemistry, Biology, Engineering, Nutrition, or a related technical discipline.
  • 10-12+ years of experience with recognized product-development expertise, complex project leadership, and demonstrated people leadership.
  • Deep expertise in product innovation, formulation, ingredient functionality, prototyping, product testing, scale-up, quality systems, and commercialization readiness.
  • Strong capability in technical strategy, experiment planning, data analysis, risk assessment, and technical documentation.
  • Proven ability to lead complex programs, direct team execution, develop standards or best practices, and make risk-based technical recommendations.
  • Flexibility to travel to laboratories, pilot plants, manufacturing sites, suppliers, or consumer/market learning locations as needed.
What You Can Expect from Mars
  • Work with diverse and talented Associates, all guided by the Five Principles.
  • Join a purpose-driven company where we're striving to build the world we want tomorrow, today.
  • A strong focus on learning and development from day one, including access to our in-house Mars University.
  • An industry-competitive salary and benefits package, including a company bonus.

The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience.The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits.Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.

The pay range shown is applicable to all US locations listed within the job posting:USD 119,040.00 - USD 163,680.00Employment Type: FULL_TIME

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