The role is focused on owning ClickHouse as a core platform within Tesla's Factory Software team, which builds systems for factory operations. The engineer will be responsible for designing and maintaining data ingestion pipelines, ensuring high-throughput analytics, and enabling AI agents to make autonomous decisions. This position emphasizes platform engineering rather than IT support, with a direct impact on production output across Tesla's manufacturing operations. The ideal candidate will have extensive experience with ClickHouse and a strong understanding of data modeling and distributed systems.

• Degree in Computer Science, Software Engineering, or a related field, or equivalent experience
• 5+ years of backend or data engineering experience, with 2+ years of hands-on ClickHouse in production
• Deep understanding of ClickHouse internals including MergeTree family engines and query optimization
• Strong proficiency in SQL for analytical workloads and at least one systems/backend language such as Go, Python, Rust, or C#
• Experience with streaming data ingestion technologies like Kafka or Kinesis
• Solid grasp of distributed systems fundamentals including consistency trade-offs and fault tolerance
• Hands-on experience enabling AI/ML workloads with data infrastructure
• Experience deploying and operating data services on Kubernetes with strong observability practices
• Ability to work across engineering teams as a platform owner
• Thrive in a high-autonomy, fast-moving environment

• Own the design, deployment, and operation of ClickHouse clusters across factory software applications
• Build and maintain high-throughput data ingestion pipelines from factory systems and IoT devices into ClickHouse
• Define data modeling standards and query patterns for consistent access across engineering teams
• Design and expose data access layers that AI agents can reliably query and act on
• Collaborate with application engineers to migrate existing workloads to ClickHouse
• Instrument and own observability for the data platform including query performance and cluster health
• Deploy and operate data platform services on Kubernetes with full CI/CD ownership
• Drive adoption across the engineering organization through documentation and hands-on enablement
• Stay current with the ClickHouse ecosystem and evaluate new capabilities

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.