Principal Vision Systems Engineer

Position Summary

We are seeking a Principal Vision Systems Engineer to lead the development of a next-generation ultra-high-speed, ultra-low-latency vision-based position feedback system for precision control of magnetically levitated rigid bodies.

Key Responsibilities

• Own the end-to-end vision system architecture:

  • Image acquisition
  • FPGA-based processing
  • Target extraction
  • 6DOF pose estimation
  • Controller interface and synchronization

• Define HW/SW/FPGA partitioning aligned with performance goals

  • Lead design trade-offs (resolution vs speed vs latency vs field of view)

• Algorithm Development (Real-Time / FPGA-Oriented)

  • Develop algorithms for:
  • Sub-pixel target extraction
  • Multi-body tracking
  • Real-time 6DOF pose estimation
  • Translate prototype algorithms (MATLAB/Python) into FPGA-compatible implementations
  • Optimize for deterministic latency and minimal jitter

• FPGA Co-Development Oversight

  • Collaborate with external partner on:
  • Smart camera development
  • FPGA processing pipelines
  • Guide FPGA implementation strategy and architecture
  • Participate in design reviews and risk mitigation

• Controller Integration & Closed-Loop Performance

  • Define low-latency interfaces between vision system and controller
  • Ensure deterministic timing and synchronization
  • Validate performance in closed-loop control applications

• Performance Validation & Testing

  • Define validation plans for:
  • Latency and jitter
  • Spatial accuracy
  • Multi-target tracking robustness
  • Benchmark against existing systems

• Sensor & Optical System Specification

  • Lead evaluation of:
  • High-speed CMOS sensors
  • Precision optical systems
  • Support system-level trade studies

• Program Leadership

  • Serve as technical interface to external development partner
  • Drive architecture definition and technical milestones
  • Lead cross-functional collaboration (controls, hardware, software)

Basic Qualifications

• MS or PhD in Computer Vision, Electrical Engineering, Robotics, or related field
• 10+ years of experience in:
• Vision systems
• Real-time or embedded systems
• Proven experience delivering low-latency vision or sensor-based systems

Technical Skills

• 3D pose estimation (PnP, multi-camera systems)
• Sub-pixel feature extraction and tracking
• Camera calibration (intrinsic/extrinsic)
• Real-time system design and latency optimization
• Programming: C/C++, Python, MATLAB
• Embedded / FPGA Knowledge
• Understanding of FPGA-based image processing pipelines
• Fixed-point arithmetic and hardware constraints
• Experience collaborating with FPGA teams

Preferred Qualifications

• Experience in:
• Semiconductor or precision automation systems
• Metrology-grade measurement systems
• Closed-loop motion control
• Familiarity with:
• Industrial vision standards (GigE Vision, GenICam)
• Deterministic communication interfaces (SPI, BiSS, FPGA-based links)

Key Performance Objectives

• Deliver system architecture supporting:
• >2 kHz update rate
• Complete FPGA-based proof-of-concept with external partner
• Demonstrate stable low-jitter performance in closed-loop control
• Enable integration into levitated rigid body system

Compensation

Base Salary Range: $132,456.81 USD to $179,206.28 USD

Benefits

• Medical, Dental, Vision and Disability Insurance
• 401(k) Plan
• Exempt employees are provided company paid holidays and Flexible Vacation to enjoy personal time off and incidental sickness.

Contact Information

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