Principal Vision Systems Engineer
About The Position
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. This role will serve as the technical owner of the vision system, overseeing the co-development of a custom smart camera and FPGA-based image processing platform and delivering real-time 6DOF pose estimation with deterministic latency performance (<100 µs) and high update rates (>2 kHz). The successful candidate will work across computer vision, embedded systems, FPGA architecture, and control system integration to enable closed-loop control performance beyond current commercial solutions.
Requirements
- 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.
- 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.
- Understanding of FPGA-based image processing pipelines.
- Fixed-point arithmetic and hardware constraints.
- Experience collaborating with FPGA teams.
Nice To Haves
- 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).
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).
- 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.
- Collaborate with external partner on: Smart camera development, FPGA processing pipelines.
- Guide FPGA implementation strategy and architecture.
- Participate in design reviews and risk mitigation.
- Define low-latency interfaces between vision system and controller.
- Ensure deterministic timing and synchronization.
- Validate performance in closed-loop control applications.
- Define validation plans for: Latency and jitter, Spatial accuracy, Multi-target tracking robustness.
- Benchmark against existing systems.
- Lead evaluation of: High-speed CMOS sensors, Precision optical systems.
- Support system-level trade studies.
- Serve as technical interface to external development partner.
- Drive architecture definition and technical milestones.
- Lead cross-functional collaboration (controls, hardware, software).
Benefits
- Medical, Dental, Vision and Disability Insurance
- 401(k) Plan
- Company paid holidays
- Flexible Vacation
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What This Job Offers
Job Type
Full-time
Career Level
Principal
