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Co Op Graduate Hardware Engineer Jobs in Addison, IL

Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design ...

Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design ...

As a Hardware Developer-New Graduate, you will work in our Chicago office, both independently and collaboratively, to fuel the continuous advancement of our production trading environment. Your scope ...

Actively enrolled in an academic program, not a recent graduate * Full-time, on-site commitment for ... Experience with ROV / AUV hardware / software / control (e.g. ROS2) * Experience with CAD / 3D ...

Actively enrolled in an academic program, not a recent graduate * Full-time, on-site commitment for ... Experience with ROV / AUV hardware / software / control (e.g. ROS2) * Experience with CAD / 3D ...

Actively enrolled in an academic program, not a recent graduate * Full-time, on-site commitment for ... Experience with ROV / AUV hardware / software / control (e.g. ROS2) * Experience with CAD / 3D ...

As a Hardware Developer-New Graduate, you will work in our Chicago office, both independently and collaboratively, to fuel the continuous advancement of our production trading environment. Your scope ...

About This Role Old Mission, a global trading firm, is looking for a Co-Op student to join our ... Some familiarity with large data sets and programming languages * Strong written and verbal ...

About This Role Old Mission, a global trading firm, is looking for a Co-Op student to join our ... Some familiarity with large data sets and programming languages * Strong written and verbal ...

Showing results 41-60

Co Op Graduate Hardware Engineer information

See Addison, IL salary details

$51.1K

$146.5K

$196.9K

How much do co op graduate hardware engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for co op graduate hardware engineer in Addison, IL is $146,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,700.00 and $163,300.00 per year, depending on experience, location, and employer.

What is the difference between Co Op Graduate Hardware Engineer vs Co Op Graduate Electrical Engineer?

AspectCo Op Graduate Hardware EngineerCo Op Graduate Electrical Engineer
CredentialsRelevant degree in hardware engineering, electronics, or related fieldRelevant degree in electrical engineering, electronics, or related field
Work EnvironmentDesigning and testing hardware components, working with circuit boards and embedded systemsWorking on electrical systems, power distribution, and circuit design
Industry UsageUsed in semiconductor, consumer electronics, and hardware development companiesCommon in power, automation, and electrical systems industries

Both roles typically require similar educational backgrounds and involve working with electronic systems. The main difference lies in focus: hardware engineers concentrate on physical components and circuit design, while electrical engineers work more broadly on electrical systems and power solutions. Your choice depends on your specific interests in hardware design versus electrical systems.

What are popular job titles related to Co Op Graduate Hardware Engineer jobs in Addison, IL?

For Co Op Graduate Hardware Engineer jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching Co Op Graduate Hardware Engineer jobs in Addison, IL look for?

The top searched job categories for Co Op Graduate Hardware Engineer jobs in Addison, IL are:

What cities near Addison, IL are hiring for Co Op Graduate Hardware Engineer jobs?

Cities near Addison, IL with the most Co Op Graduate Hardware Engineer job openings:

Infographic showing various Co Op Graduate Hardware Engineer job openings in Addison, IL as of August 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $146,503 per year, or $70.4 per hour.

Hardware Machine Learning Engineer

IMC

Chicago, IL • On-site

$200K - $225K/yr

Full-time

PTO

Re-posted 7 days ago


Job description

We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.
We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite.
Your Core Responsibilities
  • Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
  • Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
  • Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
  • Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems

Your Skills and Experience
  • Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
  • Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
  • Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
  • Proficiency in Python, C++, or similar languages for tooling, testing, and simulation
  • Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

Nice to Have
  • Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
  • Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
  • Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
  • Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$200,000-$225,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.