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Tech Lead (Ingestion Systems)

Wayve · Sunnyvale, United States

External listingfull-time28 days ago

About The Role

Join Wayve, a pioneering company in the field of autonomous driving. As the Tech Lead for Data Ingestion Systems, you will play a crucial role in transforming vast amounts of raw data into actionable insights that power advanced machine learning models. You will define and execute a strategic technical roadmap, drive innovation in pipeline architecture, and collaborate closely with various teams to enhance pipeline performance. Additionally, you will mentor and develop engineering talent, contribute to the hiring and onboarding processes, and enjoy a range of benefits including private healthcare, paid time off, mental health resources, and competitive compensation.

  • Definir y ejecutar una hoja de ruta técnica estratégica para mejorar y escalar las capacidades de la tubería de datos.
  • Impulsar la innovación en la arquitectura de la tubería para apoyar casos de uso dinámicos y en evolución.
  • Colaborar estrechamente con equipos de robótica, ingeniería de ML e investigación para mejorar continuamente el rendimiento y la funcionalidad de la tubería.
  • Solid understanding of data engineering practices, distributed processing frameworks, and pipeline optimisation techniques
  • Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams
  • Bachelor's degree or higher in Computer Science, Engineering, or related technical discipline
  • Track record of mentorship and talent development
  • Strong experience (8+ years) in software engineering, specifically focused on developing and operating scalable, complex data pipelines, including at least 3+ years leading or architecting data engineering projects
  • Expertise in modern data pipeline architectures, including DAG-based orchestration (e.g., Airflow, Flyte, Ray)
  • Proven technical leadership experience in a pipeline engineering or related domain
  • Experience with robotics or autonomous vehicle sensor data processing pipelines
  • Familiarity with third-party dataset ingestion and transformation
  • Hands-on experience integrating observability and monitoring solutions
  • Understanding of compliance and data governance frameworks (e.g., GDPR, TISAX, ASPICE)

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