Senior Autonomy Data Infrastructure and Analytics Software Engineer

• Design and implement scalable data ingestion pipelines for a heterogeneous fleet of autonomous aircraft, owning data schemas, APIs, and tooling.
• Build analysis platforms that transform raw flight and simulation data into trustworthy metrics, curated datasets, and actionable engineering insights.
• Develop a large-scale evaluation platform for scheduling and executing massive batch jobs, enabling teams to self-serve evaluation workloads.

This role directly contributes to the safe and rapid development of autonomous flight technology, enabling cleaner, more efficient air transportation and reducing aviation's environmental footprint.

• 5+ years of experience architecting and operating large-scale distributed systems and data infrastructure.
• Expertise in developing databases, query engines, and storage backends for high-frequency, high-cardinality time series data.
• Strong proficiency in Python, C++, and Git within a Linux-based environment.
• Experience processing high-bandwidth sensor data from robotics or autonomous platforms (e.g., GPS, IMU, Lidar, Radar).

Target base pay: $167,900 - $245,000/yr, plus Restricted Stock Units (RSUs). Comprehensive benefits include paid time off, healthcare, 401(k) with company match, ESPP, short-term and long-term disability, life insurance, and more.

Joby Aviation is an aerospace company developing electric vertical takeoff and landing (eVTOL) aircraft for air taxi services, aiming to make air travel affordable, sustainable, and accessible.