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Mid LevelFull-timePythonDjangoAWSKubernetesDocker
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
You will be part of Mobileye's Infrastructure group, responsible for building and maintaining data pipelines to support neural network training and algorithm validation. This is an 8-month contract position focused on scalable data processing systems.
Key Responsibilities
- →Design, develop, and maintain cloud-based data pipelines for large datasets
- →Collaborate with algorithm teams to integrate and run models within pipelines
- →Manage pipeline dependencies and address performance, scalability, and reliability challenges
- →Continuously improve system architecture and adopt new technologies
Requirements
- ✓Bachelor's degree in Computer Science or related field
- ✓5+ years of backend development experience with focus on Python
- ✓Expertise in designing infrastructure for high-performance data processing
- ✓Experience with backend frameworks (FastAPI, Django, Flask) and containerized services (Docker, Kubernetes)
- ✓Familiarity with cloud services (AWS ECS, EMR, Athena, S3, SQS) – an advantage
- ✓Experience with workflow orchestration tools like Argo and big data processing tools like Spark – an advantage
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About mobileye
Mobileye is a leading innovator in the field of advanced driver-assistance systems (ADAS) and autonomous driving technologies. Headquartered in Israel, the company was founded in 1999 and has since become a global pioneer in vision-based solutions for road safety and mobility. Mobileye's technologies are designed to enhance vehicle safety, improve traffic efficiency, and pave the way for fully autonomous transportation systems. The company operates at the intersection of automotive, technology, and artificial intelligence, leveraging its expertise to address the evolving challenges of modern mobility. Mobileye offers a comprehensive suite of products and services, including high-resolution cameras, processors, and software algorithms that enable vehicles to perceive their environment and make intelligent decisions. Key features of their solutions include real-time object detection, predictive analytics, and high-definition mapping, which collectively contribute to safer driving experiences. The company's target audience spans automotive manufacturers, fleet operators, and technology partners seeking to integrate cutting-edge ADAS and autonomous driving capabilities into their vehicles. Mobileye's solutions are particularly valued for their reliability, scalability, and ability to adapt to diverse driving conditions. Notable achievements include Mobileye's acquisition by Intel in 2017, which has further accelerated its technological advancements and market reach. The company holds a strong market position as a trusted provider of vision-based solutions, with a significant presence in both established automotive markets and emerging mobility sectors. Mobileye's unique value proposition lies in its data-driven approach, which leverages vast amounts of real-world driving data to continuously improve its algorithms and deliver superior performance. This commitment to innovation and safety has solidified Mobileye as a key player in shaping the future of transportation.
