Perception Engineer
NOX METALS, Detroit, MI, United States
Perception Engineer | Nox Metals | Detroit, MI
American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it.
Nox Metals is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to supply metal to American factories faster than the industry thought possible.
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.
Responsibilities
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
Qualifications
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.
#J-18808-Ljbffr
American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it.
Nox Metals is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to supply metal to American factories faster than the industry thought possible.
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.
Responsibilities
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
Qualifications
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.
#J-18808-Ljbffr