Engineering Manager - Data Search na Woven-by-toyota

TeamOur data platform team is working on accelerating autonomous driving by providing access to petabytes of data collected by our fleet of autonomous and non-autonomous vehicles. Efficient, fast and cost-effective access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem developed by the London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers. Our ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and Elasticsearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems.  We are a distributed team, working in the UK and US.Who are we looking for?The AD/ADAS Data Search team is looking for an Engineering Manager who is passionate about enabling the next generation of automotive software development. The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software development across areas such as Data Warehouses, Compute Frameworks, Vector Search and Data Observability.

Responsibilities:

Lead, hire and retain a team of high performing engineers

Develop, mentor and grow exceptional talent 

Interface with business stakeholders in engineering and product to incorporate business requirements and prioritization in a global team, using strong communication strategies. This includes travelling to the UK and Japan

Set and communicate team vision and strategy that support the broader organization and business goals

Create an inclusive, healthy collaborative environment for the team and with partner teams

Continuously improve and establish the processes that improve the team’s execution and engineering excellence

Guide the design and implementation of new solutions that increase the usage and the impact of data for AD/ADAS development

Minimum Qualifications:

Experience managing a distributed team in a fast-changing environment

Experience in influencing and driving change across multiple teams

Experience in growing and developing talent

Experience building scalable and reliable distributed systems for Data Processing or similar areas

Experience with programming languages such as Python, Java, and Go

Hands-on experience developing cloud applications (e.g. AWS (preferred), GCP, Azure)

Preferred Qualifications:

Experience in influencing and driving change in complex organizations

Experience with matrix organizations

Experience with working with remote engineers

Technical knowledge is required; we expect the candidate to be able to have meaningful conversations with our stakeholders about our solutions, what we can, and mostly what we can’t do

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