Vision Systems Architect
Gdańsk, PolskaKey offer highlights
Min. 10 years of experience
DevOps / Cloud: AWS, Azure, Docker, Kubernetes
English B2/C1
Employment: contract of employment
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.
What we offer
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: Senior
Requirements
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.
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.
Zakres obowiązków
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.
Keywords / Skills