Senior Vision Systems Engineer

About the role

In this role, you will design and optimize high-performance computer vision and image processing pipelines targeted at real-time applications in consumer devices. Collaboration with various teams will be essential to ensure optimal image quality and performance for downstream AI functionalities.

You will be responsible for deploying machine learning models, optimizing them for edge deployment, and integrating inference engines on target systems. Success in this position involves not only technical expertise but also mentoring other engineers and driving the debugging of complex issues.

The salary range for this role is between $115,000 and $195,500, depending on experience and qualifications.

Skills that matter here

• computer vision: This role requires designing and implementing advanced computer vision pipelines.
• AI: You will develop and deploy machine learning models for visual recognition and scene understanding.
• C++: Strong C++ skills are necessary for implementing performance-critical algorithms.
• OpenCV: Experience with OpenCV is crucial for image processing tasks.
• PyTorch: You will utilize PyTorch for developing machine learning models.
• TensorFlow: TensorFlow will be used for model deployment and optimization.

Who this role suits

• A strong background in computer vision and image processing is essential.
• Experience in shipping consumer products with embedded vision/AI will be beneficial.
• You should have a collaborative mindset, comfortable working with cross-functional teams.
• A detail-oriented approach to debugging and performance profiling will help you thrive.

From the employer

• Design and implement advanced computer vision and image processing pipelines optimized for real-time consumer devices.
• Collaborate with ISP, sensor, and tuning teams to optimize image quality for downstream AI and UX performance.
• Develop and deploy ML models for visual recognition, enhancement, tracking, or scene understanding.
• Optimize ML models for edge deployment (quantization, pruning, distillation, hardware-aware tuning).
• Implement performance-critical algorithms in modern C++ for embedded platforms.
• Optimize for latency, power consumption, memory footprint, and thermal constraints.
• Integrate inference engines (TFLite, TensorRT, ONNX Runtime, etc.) on target SoCs.
• Work closely with Android/Linux platform teams to integrate camera and AI pipelines.
• Define and track KPIs: FPS, power usage, memory, startup time, and accuracy.
• Profile and optimize performance across CPU/GPU/NPU/DSP.
• Drive debugging of complex system-level issues in production builds.
• Ensure robust unit testing and contribute to automated validation pipelines.
• Mentor engineers and review architecture/design proposals.
• Support product bring-up and mass production readiness.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
• 7-10+ years of experience in computer vision/image processing.
• Proven experience shipping at least one consumer product with embedded vision/AI.
• Strong C++ expertise (C++14/17/20), including performance optimization.
• Strong experience with OpenCV and ML frameworks (PyTorch, TensorFlow, ONNX).
• Experience deploying ML models on embedded/edge devices.
• Experience with model optimization (quantization, pruning).
• Strong understanding of 2D/3D geometry and linear algebra.
• Experience working on embedded Linux or Android systems.
• Strong debugging and performance profiling skills.
• Experience optimizing for power and thermal constraints.

• Remote work.
• Full-time employment.
• Salary range: $115,000 – $195,500 USD.