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Commission Sensor Fusion Engineer Jobs in Illinois

Embedded Software Engineer

Mossville, IL · On-site

$95K - $126K/yr

Embedded Software Engineer 4 location: Mossville, IL (Onsite) Duration: 6-month contract Core ... Hands-on experience with perception systems, sensor fusion, or motion planning algorithms.

Develop sensor fusion algorithms for precise robot localization and workpiece tracking * Implement ... Strong programming in Python and C++ for real‑time robotics applications * Experience with ...

Autonomy Engineer (UAV)

Chicago, IL · On-site

$100K - $160K/yr

Strong robotics/autonomy fundamentals: coordinate frame transformations, state estimation (Kalman filtering / sensor fusion), and PID control analysis * Strong C++ or C programming skills

Senior Automation Engineer

Malta, IL · On-site

$97K - $128K/yr

Experienced in sensor fusion involving LiDAR, IMUs, and force/torque sensors. * Prototyping ... Programming & Control: Expertise in Python, MATLAB, National Instruments LabVIEW, ROS (Robot ...

Senior Automation Engineer

Malta, IL · On-site

$97K - $128K/yr

Experienced in sensor fusion involving LiDAR, IMUs, and force/torque sensors. * Prototyping ... Programming & Control: Expertise in Python, MATLAB, National Instruments LabVIEW, ROS (Robot ...

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Commission Sensor Fusion Engineer information

What is the difference between Commission Sensor Fusion Engineer vs Calibration Engineer?

AspectCommission Sensor Fusion EngineerCalibration Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor integrationBachelor's or Master's in Electrical Engineering, Mechanical Engineering, or related fields; expertise in calibration techniques
Work EnvironmentAutomotive, robotics, or aerospace industries focusing on sensor data integrationManufacturing, automotive, or aerospace sectors focusing on sensor accuracy and calibration
Industry UsageUsed in autonomous vehicles, drones, and robotics for sensor data fusionUsed in vehicle manufacturing, aerospace, and industrial equipment for sensor calibration

The Commission Sensor Fusion Engineer focuses on integrating and optimizing multiple sensor data streams for accurate perception systems, while the Calibration Engineer specializes in ensuring sensors are accurately calibrated for precise measurements. Both roles require technical expertise but differ in their primary focus within sensor systems.

How to become a commission sensor fusion engineer?

To become a sensor fusion engineer, typically a bachelor's degree in electrical engineering, computer science, or a related field is required, with many roles preferring a master's or higher. Gaining experience in signal processing, robotics, or autonomous systems, along with proficiency in programming languages like C++ or Python and familiarity with sensor technologies and data fusion algorithms, is essential. Certifications in related areas or hands-on experience with sensor integration and fusion tools can enhance job prospects.

What are the most commonly searched types of Sensor Fusion Engineer jobs in Illinois?

The most popular types of Sensor Fusion Engineer jobs in Illinois are:

What are popular job titles related to Commission Sensor Fusion Engineer jobs in Illinois?

For Commission Sensor Fusion Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Commission Sensor Fusion Engineer jobs in Illinois look for?

The top searched job categories for Commission Sensor Fusion Engineer jobs in Illinois are:

What cities in Illinois are hiring for Commission Sensor Fusion Engineer jobs?

Cities in Illinois with the most Commission Sensor Fusion Engineer job openings:

Infographic showing various Commission Sensor Fusion Engineer job openings in Illinois as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 57% Physical, 1% Hybrid, and 42% Remote job distribution.

Machine Learning Engineer

Mundelein, IL • On-site

Brahma Consulting Group
Recruiting and Staffing Services • 11 - 50 employees

Other

This job post has expired today. Applications are no longer accepted.


Job description

About the Role

The core technology relies on fusing spectral signatures with visual and multi-sensor data to classify materials and drive precision recycling. As a Spectral ML Engineer, you will own the core classification models and build the online learning system that selects the most informative shot locations on physical materials.


What You Will Do

  • Spectral Preprocessing: Own baseline correction, normalization, denoising, and derivative extraction.
  • Core Classification: Develop and optimize models spanning chemometrics baselines, 1D CNNs, and transformer architectures.
  • Online Learning & Decision Layer: Build, deploy, and monitor sleeping and contextual multi-armed bandit policies (e.g., UCB, Thompson Sampling) to choose optimal measurement locations under dynamic arm availability, delayed/noisy rewards, and drift.
  • Multimodal Sensor Fusion: Integrate 1D spectral data with visual and real-time streaming sensor inputs into cohesive, production-grade multimodal architectures.
  • Evaluation & Production: Establish rigorous offline/online evaluation frameworks and regret monitoring pipelines to push algorithms directly to physical machinery in production.


Requirements

  • Education: PhD or Postdoc in Physics, Astrophysics, Materials Science, or a related quantitative field.
  • Experience: 0–4 years post-PhD experience (new grads accepted) focused on spectroscopy, signal processing, or applied ML with spectral data.
  • Technical Mastery: Strong Python and PyTorch proficiency.
  • Bandits & Online Learning: Practical experience implementing bandit algorithms (UCB, Thompson sampling, sleeping/contextual bandits) and handling classification under severe class imbalance.
  • Physics Depth: Strong foundational understanding of spectral physics and 1D sensor signal processing, rather than purely high-level applied ML.


Nice to Have

  • Spectroscopy or chemometrics experience with LIBS, Raman, NIR, or hyperspectral datasets.
  • Hands-on experience deploying contextual bandits or reinforcement learning in live production environments.
  • Familiarity with streaming systems, sensor fusion, and industrial measurement hardware.