Engineering Manager - Autonomy Storage Infra

What you'll do

• Lead, mentor, and recruit data infrastructure engineers.
• Define the storage infrastructure roadmap and own system architecture and reliability across deployment environments and regions.
• Drive scalable data ingestion, indexing, storage, and retrieval, along with engineering and operational standards.

What they ask for

• Bachelor's degree in Computer Science, Software Engineering, or equivalent.
• 6+ years of professional software engineering experience, including 2+ years in an engineering management or tech lead role.
• Hands-on experience with large-scale open-source data technologies and a track record leading high-scale distributed data systems.
• Experience managing production engineers across the full data lifecycle; understanding of containerization, cloud-native architectures, and modern software development workflows.

Nice to have

• Multi-cloud or multi-region data platforms, streaming or change data capture technologies, or data quality, profiling, governance, and observability.
• Experience in high-growth environments or exposure to automotive, defense, robotics, or other physical AI domains.

Pay

$204K – $343K USD base salary

Tools

Spark, Hudi, Iceberg, LanceDB, dbt, GCP, AWS, Azure

AI focus

Supports autonomy and physical AI workloads through large-scale data infrastructure; the role focuses on storage infrastructure rather than developing AI models.