Vancouver, Bc Embedded system Jobs – 105 Openings This Week

Computer Vision Engineer, FPGA
Lucid Vision Labs, Inc. —Burnaby, BC
- From $120,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
11d
Firmware Engineer
Lucid Vision Labs, Inc. —Burnaby, BC
- From $70,000 a year
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Analysis skills
- Disability insurance
- Dental care
Quick apply
11d
FPGA Engineer
AIRADAR, INC —Burnaby, BC
- $100,000–$125,000 a year
- Full-time
- Hybrid work
- Engineering
- Bachelor's
- Scripting
- Disability insurance
- Dental care
Quick apply
8d
Embedded Firmware Developer (Hybrid)
Shearwater Research Inc. —Richmond, BC
- $90,000–$130,000 a year
- Full-time
- Hybrid work
- Computer science
- Engineering
- System design
- Dental care
- Tuition reimbursement
Quick apply
4d
4th Class Power Engineer
MODERN NIAGARA —Vancouver, BC
- Up to $38 an hour
- Full-time
- Maintenance
- Microsoft Office
- In-person
Quick apply
Senior Hardware (FPGA) Engineer
LMI Technologies —Burnaby, BC
- $108,000–$153,000 a year
- Full-time
- Hybrid work
- Engineering
- C++
- Bachelor's
- Profit sharing
- Paid time off
Quick apply
Senior Software Engineer
Foreseeson Technology Inc. —Richmond, BC
- $80,000–$100,000 a year
- Computer Science
- Engineering
- English
- Paid time off
5d
Embedded Firmware Engineer - Robotics
Avestec Technologies Inc. —Burnaby, BC
- $65,000–$85,000 a year
- Full-time
- DevOps
- Engineering
- Master's degree
- Paid time off
Quick apply
6d
Electronics Hardware Designer (Mid-Level)
Algo Communication Products —Burnaby, BC
- $100,000–$125,000 a year
- Full-time
- Engineering
- Laboratory experience
- No university degree
Quick apply
EMBEDDED FIRMWARE DEVELOPER
Shearwater Research —Richmond, BC
- $90,000–$130,000 a year
- Monday to Friday
- Hybrid work
- Computer science
- Engineering
- System design
- Dental care
- Flextime
3d
Senior Embedded Software Engineer
Humanoid —Burnaby, BC
- Full-time
- Computer Science
- Engineering
- Master's degree
- Designated paid holidays
- Dental care
Quick apply
Staff/Sr. Staff Engineer, Embedded Firmware
InnoPhase IoT —Vancouver, BC
- Engineering
- Master's degree
- C++
Quick apply
Camera Firmware Engineer
Qualcomm —Vancouver, BC
- $90,100–$135,100 a year
- Engineering
- C++
- Bachelor's
8d
Embedded Software Co-Op
Analog Devices —Vancouver, BC
- Full-time
- Computer Science
- Laboratory experience
- C++
Senior Embedded Software Developer
T2 Systems —Burnaby, BC
- Master's degree
- Databases
- SQL
Quick apply
Hardware Electronics Engineer Intern
Daanaa Resolution —Vancouver, BC
- $19–$22 an hour
- Full-time
- Schematics
- Engineering
- Laboratory experience
Quick apply
Embedded Software Developer
Fortinet —Burnaby, BC
- $92,300–$112,800 a year
- Full-time
- Computer Science
- Software troubleshooting
- Engineering
- Disability insurance
- Dental care
Staff Embedded Software Engineer
Analog Devices —Vancouver, BC
- Full-time
- Engineering
- Master's degree
- C++
Embedded Software Developer
Dometic Marine Canada, Inc. —Richmond, BC
- $88,000–$105,000 a year
- Computer science
- Engineering
- AWS
- Designated paid holidays
- Disability insurance
Quick apply
Senior Embedded Software Developer
Fortinet —Burnaby, BC
- $100,000–$120,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Disability insurance
- Dental care

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embedded system jobs near vancouver, bc

Computer Vision Engineer, FPGA

Lucid Vision Labs, Inc.
Burnaby, BC

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Job details

Permanent | Full-time
From $120,000 a year
11 days ago

Qualifications

MATLAB
Doctoral degree
Computer Science
Signal processing
FPGA
Engineering
Firmware
Master's degree
Verilog
Algorithm design
Computer Engineering
Electrical Engineering
Communication skills
Sensors
Python
Debugging

Full job description

LUCID Vision Labs, Inc. designs and manufactures innovative machine vision cameras and components that utilize the latest technologies to deliver exceptional value to customers. Our compact, high-performance GigE Vision cameras are suited for a wide range of industries and applications such as factory automation, medical, life sciences and logistics. Our expertise combines deep industry experience with a passion for product quality, technology innovation and customer service excellence.

In keeping with the Company’s mission and values, the Computer Vision Engineer, FPGA Implementation will develop and implement advanced image processing algorithms for LUCID’s industrial machine vision cameras. This role focuses on designing, modeling, validating, and optimizing computer vision and image signal processing algorithms, then translating selected algorithms into efficient FPGA-based implementations for real-time, low-latency camera operation.

The ideal candidate has strong computer vision and image processing knowledge, practical software prototyping experience in Python, MATLAB, or similar tools, and some familiarity with hardware design constraints. Direct FPGA experience is highly valuable, but candidates with strong algorithm development skills and a willingness to learn FPGA implementation may also be considered.

This role will support development across standard area-scan image signal processing, line-scan image processing, and 3D/time-of-flight imaging pipelines.

Duties and Responsibilities:

Research, design, and prototype image processing and computer vision algorithms for industrial camera products.
Develop algorithm models, simulations, and test environments using Python, MATLAB, or similar tools.
Evaluate algorithm performance using image quality metrics, simulation data, test images, and real camera data.
Refine algorithms based on image quality, performance, latency, robustness, and implementation feasibility.
Develop and support image signal processing algorithms for area-scan, line-scan, and time-off fight camera pipelines.
Model data flows and makes architectural decisions based on product requirements, schedule, device limitations, bandwidth, latency, and system-level constraints.
Convert selected software-based algorithms into efficient FPGA implementations using VHDL.
Optimize FPGA implementations for latency, resource utilization, timing performance, memory bandwidth, and target camera constraints.
Simulate and validate FPGA-based image processing blocks.
Contribute to integration of processing blocks into larger FPGA and camera system architectures.
Document algorithm behavior, architecture decisions, design requirements, interfaces, implementation details, and verification results.
Stay informed on relevant developments in image processing, computer vision, FPGA implementation methods, camera ISP design, and time-of-flight imaging.

Qualification and Skills:

Master’s or PhD (preferred) degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
Experience developing camera ISP pipelines for area-scan or line-scan image sensors.
Experience with time-of-flight imaging, depth processing, 3D imaging, or related calibration and correction algorithms.
Experience with stereo vision, image warping, compression, HDR processing, or camera calibration.
Experience with real-time, low-latency image processing systems.
Experience converting floating-point software models into fixed-point or hardware-efficient implementations.
Experience with high-level modeling, hardware/software co-design, or top-down algorithm-to-hardware workflows.
Experience implementing production FPGA designs using VHDL or Verilog.
Experience with Xilinx/AMD or Intel/Altera FPGA development tools.
Experience with FPGA simulation, timing closure, resource optimization, and in-system debugging.
Knowledge of sensor interfaces, camera architectures, or embedded systems.
Understanding of CPU, GPU, and FPGA architecture trade-offs.
Experience contributing to products shipped in volume.
Experience with image signal processing algorithms such as demosaicing, color correction, auto exposure, auto white balance, tone mapping, sharpening, denoising, geometric correction, or image enhancement.
Experience developing, modeling, and evaluating algorithms in Python, MATLAB, or similar environments.
Ability to evaluate algorithm performance using test data, image quality analysis, simulation results, and real-world imaging conditions.
Ability to translate algorithmic concepts into practical implementations with real-world performance, memory, latency, and compute constraints.
Familiarity with digital hardware concepts such as fixed-point arithmetic, pipelining, streaming data paths, memory interfaces, and resource-limited design.
Strong debugging, analysis, documentation, and communication skills.
Ability to work collaboratively across hardware, firmware, software, and product development teams.

LUCID Vision Labs Inc. is proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity, equity, and inclusion. We offer a competitive salary based on factors such as job-related skills, experience, relevant education, and training. The salary for this position is determined in alignment with the level of expertise and qualifications of the successful candidate. We thank all applicants who apply; however, only those selected for consideration will be contacted.

Pay: From $120,000.00 per year

Work Location: Hybrid remote in Burnaby, BC V5J 5K7

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embedded system jobs in vancouver, bc

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