Senior Vision Systems Engineer

Opis

hands-on technical leader responsible for designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer devices. This role ensures real-time performance, power efficiency, and production robustness across embedded platforms.

Oferujemy

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: B2 Upper Intermediate

• Seniority: Lead

Wymagania

• 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.

• 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.

Zakres obowiązków

• 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.