Algorithm Analyst & Tools Developer
About this role
Join Mobileye and help evaluate the performance of cutting-edge technologies powering the future of autonomous driving.
As an Algo Analyst & Tools Developer, you will validate the quality of complex algorithmic systems and build the infrastructure to analyze them.
You will examine large-scale data collected from drives all around the world, investigate system behaviors, and generate actionable insights.
Beyond traditional analysis, this role includes designing and developing AI-powered analysis tools that will help streamline and boost the productivity of our analysis and validation efforts.
\nWhat will your job look like:- Develop diagnostic tools for performance and quality metrics analysis.
- Work to boost analysis efficiency by deploying AI-powered tools.
- Develop and maintain automated analysis and monitoring workflows.
- Present clear findings and recommendations through reports and summaries.
- Collaborate with algorithm developers and product managers to validate new developments and drive future improvements by proactive problem finding.
- B.Sc. in Industrial Engineering, Data Science, Computer Science, or a similar field.
- 2+ years of experience in data analysis, research, or similar analytical roles.
- 2+ years of practical experience using Python for tools development, data analysis, or automation.
- Strong analytical and problem-solving skills with the ability to investigate complex system behaviors.
- Ownership mentality and a can-do attitude, with strong collaboration and communication abilities.
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!
Company at a glance
Mobileye pioneers physical AI for intelligent systems including advanced ADAS, autonomous driving solutions, and humanoid robotics.
Mobileye’s physical AI foundation reflects decades of experience in real-world driving intelligence, applying the same engineering principles that shaped its automotive AI leadership to AI for humanoid robotics in complex physical environments.
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