Staff AI Engineer
Teradata · Posted Nov 6
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata is building next-generation Database Marketplace products, with this team focused on core components of Teradata’s AI platform and database engine. The work spans storage layers, write path and recovery, concurrency and isolation, and the executor-storage interface across disaggregated compute storage topologies. The Staff AI Engineer will design and deliver scalable systems in C/C++/Rust, influence product strategy and architecture, and apply agentic AI coding tooling on a large codebase.
What you will do
- Design, develop, and maintain high-quality systems, services, and applications with an emphasis on scalability, reliability, and performance.
- Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end-to-end features.
- Storage layer evolution — Work on page management, durability guarantees, and consistency semantics across disaggregated compute storage topologies.
- Write path and recovery — Extend the logging and recovery subsystem for multi-node and branching workload patterns.
- Concurrency and isolation — Build visibility and isolation semantics for non-linear, multi-context execution patterns.
- Executor-storage interface — Own buffer management, prefetch behavior, and cost model correctness when storage is remote.
- Agentic tooling — Use AI coding agents critically on a large C/C++ codebase. Know where they fail.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science or equivalent from a premier institution.
- 3+ years of experience on backend services, distributed systems, or data platform development.
- Strong proficiency in C, C++, Rust for development.
- Preferably Internals experience with PostgreSQL or postgres based relational engine — source-level, not API-level
- Deep understanding of the WAL write path, checkpointing, and crash recovery mechanics
- Ability to trace and resolve concurrency anomalies through the engine's MVCC implementation
- Clear mental model of where traditional storage assumptions live in the executor and buffer manager
- Practical experience with AI coding assistants on production systems engineering work
- Expertise in systems or database engineering, with meaningful time spent inside a relational engine at the source level
- Demonstrated contributions to PostgreSQL or an equivalent open-source engine — patches, extensions, or fork-level work
- Production experience with storage or replication subsystems under real failure conditions
- Comfort operating across distributed teams with high autonomy and low process overhead
- A track record of technical decisions that held up — and the judgment to know when to revisit them
Benefits and support
- Flexible work model
About Teradata
Teradata is a global enterprise software company specializing in multi-cloud data warehousing, analytics, and artificial intelligence solutions. Its flagship offerings, including Teradata VantageCloud and ClearScape Analytics, help organizations turn enterprise data into trusted, autonomous actions. The company serves leading global enterprises across industries such as financial services, retail, healthcare, and telecommunications.
- Industry
- Software
- Company size
- 5000-10000 employees
- Founded
- 1979
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
John Ederer
Chief Financial Officer
Louis Landry
Chief Technology Officer
Sumeet Arora
Chief Product Officer
Michael Hutchinson
Chief Operating Officer
Recent coverage
PR Newswire
Teradata Expands Sovereign AI Across On-Premises and Air-Gapped Cloud Environments2026-10-20
PR Newswire
Teradata Introduces New Privacy, Security, and Resiliency Capabilities as AI Forces Change in Enterprise Data Protection2026-10-20
Futurum Group
Teradata Bridges the Enterprise AI Agent Execution Gap2026-09-23