Skip to content
Director of Software Engineering – Data Platforms
| Company | Aurora Innovation |
|---|
| Location | Pittsburgh, PA, USA |
|---|
| Salary | $223000 – $320000 |
|---|
| Type | Full-Time |
|---|
| Degrees | |
|---|
| Experience Level | Senior, Expert or higher |
|---|
Requirements
- Demonstrated success in building and leading teams responsible for large-scale data platforms and/or infrastructure.
- Proven experience managing high-performing engineering teams and growing engineers and managers to senior levels.
- Experience in distributed systems, data infrastructure, modern data technologies (e.g. Kafka, Spark, BigQuery), and cloud platforms (e.g., AWS, GCP, Azure).
- Exceptional strategic thinking with the ability to align technical solutions with organizational goals.
- Excellent communication skills, with the ability to influence and collaborate across all levels of the company and leading multiple software engineering teams.
- Previous experience as a lead technical engineer, with a demonstrated ability to dig in to complex technical challenges.
- Ability to build and grow teams.
Responsibilities
- Set the strategic vision and technical roadmap for the Data Platform by working with your leads, and the broader Autonomy Org to enable data-driven decision-making across the company.
- Drive technical excellence and innovation, championing best practices in software development, data architecture, and system reliability.
- Combine technical leadership with organizational strategy to ensure our data platform empowers every part of Aurora – from product innovation to operational excellence.
- Build a ‘Data for AI’, including data discovery, dataset generation, lineage tracking, ML experimentation and optimizing iteration speed for ML Engineers leading to improvement of autonomy performance.
- Lead a diverse team of sub-teams including Tools and Visualization, Autonomy Data, Data Analytics and build reliable and efficient systems that scale to support all autonomy developers, operate on data from a fleet of autonomous vehicles.
- Lead a highly cross-functional environment, collaborating closely with Engineering, Product Management, and Data Science.
- Attract and hire industry-leading engineers and operations staff.
- Foster a team culture of collaboration, excellence, and delivery.
Preferred Qualifications
- Experience with Machine Learning infrastructure and tools.
- Experience working on large scale infrastructure, data visualisation and lineage tools.
- Experience hiring for rapidly growing startups.
