Software Engineer AR/VR
vor 2 Wochen
Responsibilities
Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features and systems in detail Understand industry and company-wide trends to help assess & develop new technologies Partner and collaborate with organization leaders to help improve the level of performance of the team and organization Identify new opportunities for the larger organization and influence the appropriate people for staffing/prioritizing these new ideas Lead long term technical strategy and roadmap for large cross-company efforts Suggest, collect and synthesize requirements and create an effective feature and technology roadmap Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Qualifications
Programming experience in C++ and Python Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission Proven track record of leading exploratory projects from ideation to proof-of-concepts Experience driving large cross-functional, company or industry-wide engineering efforts Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions Experience communicating and working across functions to drive solutions Experience mentoring/influencing experienced engineers across organizations Experience in manipulating and analyzing complex, high-volume data from varying sources Experience in machine learning PhD or equivalent experience in a relevant field (e.g., Computer Vision, Machine Learning, Signal Processing, Robotics Human-Computer Interaction, Biomedical Engineering or related) Proven track record of leading design and deployment end-to-end systems for consumer-facing hardware (such as edge devices, wearables) demonstrated through leading complex projects involving hardware sensors, signal processing, machine learning for real-world data, and the development of edge/cloud computation Experience in building scalable data pipelines, model training, and deployment frameworks for wearables or mobile devices Experience with large-scale model training, transfer learning, and data-efficient ML Experience building and maintaining SDKs or developer platforms for ML/data-driven products
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