Senior Vision Systems Engineer

Luxoft; Bengaluru Urban; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Luxoft in Bengaluru is seeking a senior embedded vision engineer to design, optimize, and productize real-time computer vision pipelines for consumer devices running on embedded Linux/Android.

You will collaborate with ISP, sensors, and tuning teams, deploy ML models at the edge, optimize for power, latency, and memory, and mentor engineers while contributing to automated validation and mass production readiness.

Qualifications

• 7-10+ years of experience in computer vision/image processing.
• Proven experience shipping at least one consumer product with embedded vision/AI.
• 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.

Responsibilities

• Designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer devices.
• Collaborate with ISP, sensor, and tuning teams to optimize image quality 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.
• Profile and optimize performance across CPU/GPU/NPU/DSP.
• Define and track KPIs: FPS, power usage, memory, startup time, and accuracy.
• Work with Android/Linux platform teams to integrate camera and AI pipelines.
• Drive debugging of complex system-level issues in production builds.
• Mentor engineers and review architecture/design proposals.
• Support product bring-up and mass production readiness.

Skills

Computer vision

Embedded systems understanding

Performance profiling

Mentoring

Debugging

Education

Bachelor's or Master's degree in CS/EE

Tools

OpenCV

PyTorch

TensorFlow

ONNX

C++

Android/Linux

Job 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.
• 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.

Mandatory Skills Description

• 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 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 Skills Description

• 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.