1

Senior Computer Programming Training Jobs in Chicago, IL

Senior CAD Designer

Carol Stream, IL · Hybrid

$105K - $112K/yr

Develop technical drawings, models, and specifications using engineering software and tools and ... training programs, and bring learnings to our team by hosting workshops or mentoring team members ...

Senior CAD Designer

Carol Stream, IL · On-site

$105K - $112K/yr

Develop technical drawings, models, and specifications using engineering software and tools and ... training programs, and bring learnings to our team by hosting workshops or mentoring team members ...

Senior Engineer

Chicago, IL · Hybrid

$107K - $147K/yr

Senior Engineers at DMC have 5+ years of relevant experience and provide expert level competency in ... Bachelor's degree in Mechanical, Electrical, or Computer Engineering, Computer Science, or related ...

Senior Systems Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior Systems Engineer, Chicago IL This Senior Systems Engineer position is fully onsite ... Computer Science, Computer Engineering or an equivalent field. - Strong Linux experience working ...

Senior Trading Systems Engineer

Chicago, IL · On-site

$107K - $147K/yr

Senior Trading Systems Engineer, Chicago, IL This Senior Trading Systems Engineer position is 100 ... Computer Science, Computer Engineering or an equivalent field. - Strong Linux experience working ...

next page

Showing results 1-20

Senior Computer Programming Training information

See Chicago, IL salary details

$36.6K

$110.8K

$121K

How much do senior computer programming training jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior computer programming training in Chicago, IL is $110,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $120,000.00 per year, depending on experience, location, and employer.

Senior Computer Vision Engineer

Brahma Consulting Group

Mundelein, IL • On-site

$106K - $146K/yr

Other

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


Job description

About the Role:

We’re partnering with a fast-scaling startup in SF that is fundamentally changing how physical materials are tracked and measured using real-time 3D computer vision.

If you're passionate about bringing SOTA 3D vision algorithms out of the research lab and into high-impact, real-world industrial environments, this role gives you full ownership over the core perception engine.


They are looking for an experienced Senior Computer Vision / Perception ML Engineer to own the perception engine that converts raw stereo camera captures into accurate, production-grade 3D measurements for industrial applications.


This role sits directly at the core of our tech stack. You will be responsible for taking complex research pipelines—covering stereo reconstruction, point-cloud cleanup, depth estimation, and 3D volumetric metrics—and turning them into robust, production-ready algorithms.


What You Will Own

  • The core end-to-end CV/ML pipeline: stereo reconstruction, point-cloud processing, segmentation, ground-plane estimation, stitching, and volume calculation.
  • Model integration using SOTA architectures (FoundationStereo, YOLO-style models, s2m2).
  • System calibration, confidence metrics, failure-mode analysis, and 3D reconstruction quality.
  • Bridging the gap between prototype research and deployable, real-world sensor performance.


What We’re Looking For

  • Experience: 4+ years of hands-on experience in computer vision, robotics perception, or ML engineering.
  • 3D Vision Focus: Deep expertise in 3D geometry, camera calibration, stereo/depth estimation, point clouds, and segmentation.
  • Core Tech Stack: Proficient in Python, PyTorch, OpenCV, and Open3D.
  • Real-World Engineering: Proven track record of debugging noisy sensor data and shipping CV systems in real-world environments.
  • Education: MS or PhD in Computer Vision, Robotics, or a related field preferred.


Nice-to-Haves

  • Hands-on experience with CUDA, SLAM, photogrammetry, or geospatial/volumetric measurement.
  • Experience with cloud GPU infrastructure (e.g., Modal).
  • Prior perception experience in robotics, autonomous vehicles, or industrial inspection.