Senior Automation Engineer, Vision

Mach
United States
Workplace: OnsiteFull timeUSD 150,000 - 195,000 annuallyFunction: QA, Test & Release EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Experimental and troubleshooting skills","Ability to develop and debug systems","Partnering with engineers"]

Develop and standardize machine vision systems for automated manufacturing equipment. Build proof-of-concept 2D/3D vision solutions using industrial cameras, optics, lighting, profilometers, and edge compute, then translate them into reusable hardware/software architectures and technical standards. Characterize imaging performance, optimize vision pipelines for deterministic cycle times (including GPU acceleration), and integrate vision with PLC/robotics controls such as Beckhoff TwinCAT to support commissioning and production ramp.

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FursaFursa
Mach
Mach
2 weeks ago

Senior Automation Engineer, Vision

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Develop and standardize machine vision systems for automated manufacturing equipment. Build proof-of-concept 2D/3D vision solutions using industrial cameras, optics, lighting, profilometers, and edge compute, then translate them into reusable hardware/software architectures and technical standards. Characterize imaging performance, optimize vision pipelines for deterministic cycle times (including GPU acceleration), and integrate vision with PLC/robotics controls such as Beckhoff TwinCAT to support commissioning and production ramp.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop a standardized machine vision platform for automated manufacturing equipment.
  • •Design and build proof-of-concept vision systems and define acquisition methods (exposure, triggering, synchronization, lighting control).
  • •Develop 2D/3D vision applications for inspection, measurement, localization, guidance, identification, and process monitoring.
  • •Optimize vision pipelines for production cycle times using hardware-accelerated approaches (e.g., GPU/parallel computing) and define edge compute requirements.
  • •Translate proof-of-concept systems into specifications, standards, and validated production systems, including review of OEM/integrator deliveries and FAT/SAT support.

Pay and Benefits

Salary: USD 150,000 - 195,000 annually
Perks:Health InsuranceDentalVisionRetirement SavingsPaid LeaveLearning Budget

Key Requirements

  • •Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics, Computer Engineering, Optical Engineering, Computer Science, or related.
  • •5+ years developing machine vision, optical inspection, metrology, or automated manufacturing systems.
  • •Hands-on experience selecting and integrating industrial cameras, lenses, lighting, and vision hardware.
  • •Strong understanding of imaging fundamentals (resolution, field of view, depth of field, exposure, lighting geometry, optical distortion).
  • •Experience taking vision applications from proof of concept through commissioning and production, including troubleshooting on manufacturing equipment.
Experience:5+ yearsAutomated manufacturingMachine visionOptical inspectionMetrologyRobotics
Education:Bachelor's
Skills:Experimental and troubleshooting skillsAbility to develop and debug systemsPartnering with engineers
Languages:English
Tech Stack:Machine visionIndustrial camerasLensesLightingProfilometersDepth camerasEdge computeGPU accelerationCUDAParallel computingBeckhoff TwinCATEtherCATPLCROS 2OpenCVHALCONCognex VisionProNVIDIA GPUsJetsonGigE Vision

Company Brief

Mach
Designs and manufactures unmanned systems, tactical engines, and decentralized defense manufacturing infrastructure (Forge) to scale production of autonomous aerial systems and related propulsion for U.S. defense customers and partners.
Industry: Defense Manufacturing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Valuation: USD 250M to 500M
Funding: Series B
Headquarters: Huntington Beach, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
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