AI-generated summary
- Design and optimize real-time, power-efficient vision/ML for embedded SoCs.
- Productize consumer-device vision focused on latency, power and robustness.
- Own models-to-SoC integration through mass production and mentor engineers!
Undisclosed
Remote Malaysia Malaysia, Kuala Lumpur
Job Description
Project description
Designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer device - with focus on real-time performance, power efficiency, and production robustness across embedded platforms.
Responsibilities
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.
Skills
Must have
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.
Nice to have
Experience with mobile SoCs (Qualcomm, MediaTek, Exynos, etc.).
Experience with CUDA / OpenCL / Vulkan / OpenGL ES / SIMD.
Experience with camera calibration and ISP interaction.
Experience building for Android Camera HAL or Yocto-based systems.
Experience with AR, computational photography, or video processing.
Experience with multi-camera systems.
Exposure to production validation and manufacturing constraints.
Other
Languages
English: C1 Advanced
Seniority
Senior
Job Requirements
Company Benefits
Friendly environment
Enjoy coming to a workplace where you’re treated with respect within a multicultural team.
Corporate celebrations
Take part in fun, international social activities organized for your location.
Mobility Hub
Open the door to new career opportunities by transferring to new projects or teams.
Self-learning library
Dive into a wealth of learning that’s at your fingertips with our vast online library of eBooks and resources.
Work-life balance
Support your (me-time) by setting up a flexible working arrangement.
Employee health and well-being
Take advantage of health programs, diversity and inclusion events and sporting activities to keep you fit and well.
Additional Info
Company Activity
Last active - few days ago
Experience Level
0 - 10 Years of Experience
Job Specialisation
Company Profile
