Vision Systems Architect

Luxoft Germany; Polska; Hybrid; PLN 420,000 - 660,000; Full time

Job summary

Luxoft is seeking a senior Imaging/Vision Architect to own end-to-end vision system architecture across sensors, ISP, CV, ML, and application layers. You will translate product requirements into scalable technical solutions and define the image quality strategy in alignment with AI goals.

The role requires expert C++ and embedded systems experience, with a proven track record shipping consumer products using vision/AI. You will lead cross-functional teams and guide long-term AI roadmaps.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (PhD preferred).
• 10-15+ years of experience in imaging/vision/perception systems.
• Proven experience architecting and shipping multiple consumer products with vision/AI.
• Deep understanding of imaging pipeline (sensor behavior, ISP, tuning impact).
• Strong embedded system architecture experience.
• Expert-level C++ and system-level optimization knowledge.
• Strong expertise in CV and ML system integration.
• Experience deploying optimized ML models on consumer SoCs.
• Experience with heterogeneous compute architectures.
• Experience defining system KPIs and validation strategies.
• Strong cross-functional leadership and communication skills.

Responsibilities

• Define and own end-to-end vision system architecture (sensor → ISP → CV/ML → application layer).
• Translate product and UX requirements into scalable technical solutions.
• Define image quality strategy aligned with AI and user experience goals.
• Architect reusable, modular CV/ML frameworks across multiple product SKUs.
• Drive system-level trade-offs across performance, power, cost, and thermal limits.
• Define AI model lifecycle strategy from training to OTA deployment.
• Architect heterogeneous compute utilization (CPU/GPU/NPU/DSP).
• Define system KPIs: latency, FPS, power, memory, boot time, and robustness.
• Lead technology selection for inference engines, frameworks, and hardware platforms.
• Guide SoC bring-up and performance validation for vision pipelines.
• Establish coding standards, modularization strategy, and long-term maintainability.
• Identify technical risks early and define mitigation strategies.
• Collaborate with hardware, ISP, Android/Linux platform, and product teams.
• Mentor senior engineers and provide architectural governance.
• Contribute to long-term vision/AI roadmap across product generations.

Skills

C++ expertise

Embedded systems

Imaging/vision

CV/ML integration

System optimization

Leadership

KPIs & validation

Education

Bachelor's/Master's in CS/EE

Job description

Project description

Owns the end-to-end vision and AI architecture for consumer devices. Defines scalable, power-efficient, and production-ready imaging and perception systems across product lines. Drives technical direction across sensor, ISP, CV, ML, and platform integration.

Responsibilities

• Define and own end-to-end vision system architecture (sensor → ISP → CV/ML → application layer).
• Translate product and UX requirements into scalable technical solutions.
• Define image quality strategy aligned with AI and user experience goals.
• Architect reusable, modular CV/ML frameworks across multiple product SKUs.
• Drive system-level trade-offs across performance, power, cost, and thermal limits.
• Define AI model lifecycle strategy from training to OTA deployment.
• Architect heterogeneous compute utilization (CPU/GPU/NPU/DSP).
• Define system KPIs: latency, FPS, power, memory, boot time, and robustness.
• Lead technology selection for inference engines, frameworks, and hardware platforms.
• Guide SoC bring-up and performance validation for vision pipelines.
• Establish coding standards, modularization strategy, and long-term maintainability.
• Identify technical risks early and define mitigation strategies.
• Collaborate with hardware, ISP, Android/Linux platform, and product teams.
• Mentor senior engineers and provide architectural governance.
• Contribute to long-term vision/AI roadmap across product generations.

SKILLS

Must have

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field (PhD preferred).
• 10-15+ years of experience in imaging/vision/perception systems.
• Proven experience architecting and shipping multiple consumer products with vision/AI.
• Deep understanding of imaging pipeline (sensor behavior, ISP, tuning impact).
• Strong embedded system architecture experience.
• Expert-level C++ and system-level optimization knowledge.
• Strong expertise in CV and ML system integration.
• Experience deploying optimized ML models on consumer SoCs.
• Experience with heterogeneous compute architectures.
• Experience defining system-level KPIs and validation strategies.
• Strong cross-functional leadership and communication skills.

Nice to have

• Experience with computational photography pipelines.
• Experience in AR/VR or advanced camera features.
• Experience with silicon bring-up and HW/SW co-design.
• Experience with large-scale model deployment and OTA updates.
• Experience in multi-camera or depth-sensing systems.
• Contributions to patents or technical publications.
• Experience leading architecture across multiple product generations.