Perception Engineer

Nox Metals

$90K — $120K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong background in computer vision and signal processing.
  • Experience with industrial cameras and machine vision platforms.
  • Knowledge of non-vision sensors and their communication interfaces.
  • Proficiency with ML and DL frameworks like PyTorch or OpenCV.
  • Skilled in building and deploying data pipelines.
  • Experience integrating perception into PLCs and robotics systems.
  • Comfortable navigating software integration and API usage.

Responsibilities

  • Own the perception stack across the factory and capture relevant signals.
  • Develop vision systems for robotics and defect detection.
  • Integrate sensor systems on machinery for enhanced monitoring.
  • Utilize perception data for job costing and cycle time optimization.
  • Manage the complete pipeline from sensor selection to monitoring and retraining.
  • Decide between building edge or cloud inference solutions.
  • Construct comprehensive data pipelines for operational intelligence.

Benefits

  • Long-term career growth opportunities.
  • Collaborative working environment with cross-functional teams.
  • Commitment to safety protocols and worker protection.
  • Hands-on experience with state-of-the-art technology.
  • Opportunity to innovate and improve existing systems.
Full Job Description
Perception Engineer | Nox Metals | Detroit, MI

We need a Perception Engineer to give the factory eyes, ears, and a sense of touch. Vision systems on every machine. Vibration sensors on every saw. Thermal sensors on every cut. Every signal turned into data, every dataset turned into a better cost model, a smarter nest, a tighter cycle, and a more reliable cell. Nox Metals is an employer with real opportunity for long term career growth, this is a place to build a career, not just hold a job.

You will:
  • Own the perception stack across the entire factory, vision, vibration, thermal, force, and any other sensor that gives us a signal worth capturing
  • Build vision systems for robotics, inspection, dimensional verification, defect detection, and material identification
  • Build sensor systems on saws, CNC equipment, and automated cells, vibration for blade wear, thermal for cut conditions, current draw for load, and whatever else makes the cell smarter
  • Feed perception data into job costing, cycle time prediction, and nesting optimization, the perception layer is what makes WAYNE and our cost models actually accurate
  • Own the full pipeline end to end, sensor selection, mounting, calibration, data collection, labeling, training, deployment, edge inference, monitoring, retraining
  • Build edge inference where it makes sense and cloud inference where it makes sense, you make the call
  • Build the data pipelines that capture every frame, every waveform, every reading, the data that powers our ML and operational intelligence
  • Partner tightly with the ML, automation, controls, and software teams, you sit at the seam where hardware, signals, models, and software all meet
  • Run experiments, ablations, and real-world tests to prove what works on the floor, not just on a benchmark
  • Always ask questions, never guess when something is unclear
  • Look at every sensor, every model, every signal, and figure out how to make it better
  • Work safely every shift and hold your teammates to the same standard

You should be:
  • Strong technical foundation in computer vision, signal processing, and sensor systems, judged on capability not years
  • Hands-on with industrial cameras, machine vision platforms, and 2D and 3D imaging
  • Experienced with non-vision sensors, accelerometers, vibration, thermal, current, force, and the analog and digital interfaces that connect them
  • Fluent in modern ML and DL frameworks (PyTorch, JAX, OpenCV, or comparable) and the surrounding tooling
  • Comfortable shipping the full pipeline, you collect the data, you train the model, you deploy it on edge or cloud, you monitor it, and you retrain it
  • Experienced integrating perception into PLCs, robotics, and production software systems
  • Comfortable on the software side, you write the integration, hit the API, structure the payload, reason about the model in production
  • Tightly partnered with ML, automation, and controls teams in past roles, comfortable writing specs, filing tickets, and shaping the tools you use
  • Cracked with AI tools, modern software, and data, you build perception systems that talk to the rest of the company
  • A builder at heart, you would rather ship a working v1 today than ship a perfect v3 next month
  • High attention to quality, every model, every dataset, every sensor calibration
  • Always thinking about how to make systems better, you do not accept "this is how we have always done it"
  • Absolutely customer obsessed, every signal you capture eventually shows up as a part on a customer's dock
  • User obsessed, you sit with the operator, you watch them run the machine, and you build perception they actually trust
  • A team player with a good attitude, you make the floor better for everyone around you
  • Someone who takes ownership, if it senses, sees, or hears, it is your responsibility
  • Precise under pressure and reliable
  • Organized and detail oriented
  • Committed to safety, you follow every protocol, wear your PPE, lock out tag out, and never cut corners that put people at risk
  • High agency, you handle big items alone and ask for help when needed
  • Low ego, you walk the floor, you crawl into cells, you do the unglamorous work because it needs to get done
  • Able to lift up to 50 lbs and operate heavy equipment on your feet when the floor needs you
  • Not afraid to work outside normal hours when America demands it
  • Never says "that's not my job"

Nice to have:
  • Experience deploying perception systems in metals, machining, or industrial environments
  • Background with vibration analysis, predictive maintenance, or condition monitoring
  • Experience with thermal imaging or thermography in process control
  • Hands-on with edge inference platforms, NVIDIA Jetson, OpenVINO, Coral, or comparable
  • Background in 3D vision, structured light, stereo, or LiDAR
  • Open source work, published research, or a portfolio of perception systems you have built

This role is full time, in person in Detroit.

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