Software Team Lead - Data Infrastructure & Algorithm
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The AV Sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors. Our team develops scalable infrastructure and software solutions for processing, validating, and working with complex 3D sensor data.
What will your job look like:
- Lead and mentor a team of ~5 Software and Algorithm Developers, while staying closely involved in technical decisions, system design, and architecture.
- Design and build scalable data infrastructure and software solutions that support large-scale data workflows for Algorithm and Deep Learning teams.
- Develop Python-based libraries, data workflows, validation and monitoring systems for large-scale sensor data.
- Work closely with Algorithm and Deep Learning teams to understand their needs and translate them into scalable software and data solutions.
- Build and maintain development infrastructure, including databases, dashboards, CI/CD pipelines, and automated documentation.
- Contribute to technical solutions involving 3D data, calibration, coordinate transformations, and geometric concepts.
All you need is:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field.
- 2+ years of experience leading, mentoring, and developing engineering teams.
- Strong foundation in algorithms, data structures, and algorithmic complexity.
- 5+ years of hands-on Software / Backend engineering experience, with strong Python skills and experience building large-scale production systems.
- Strong experience designing and building scalable data-intensive systems, including distributed architectures, databases, cloud-based services, and microservices.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Skills
As published by lever · 2 questions
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL
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