Engineering Manager, Data Engineering
TRM LabsFull Time
Expert & Leadership (9+ years)
Candidates should have 8+ years of software engineering experience, including at least 3 years managing teams focused on data or platform engineering. Experience with large-scale data processing pipelines, Spark, and workflow orchestration tools like Flyte is essential. Proven leadership skills, including team building, mentorship, and talent development, are required.
The Manager, Data Ingest & Analysis will lead a team of data and platform engineers responsible for collecting, transforming, and analyzing petabytes of driving data. Responsibilities include defining and executing the team's roadmap, managing and optimizing large-scale Spark-based data processing pipelines, overseeing transcoding and processing workflows, enabling data collection from various sources, normalizing data, and ensuring the reliable operation of data processing workflows using tools like Flyte and operational observability.
Develops autonomous vehicle technology using AI
Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.