2 months ago
San Jose, CA, USAMid Level
Responsibilities
- Design, build, and maintain backend data pipelines that convert engineering data into structured, queryable representations.
- Design data schemas and queries for new engineering data types and production-scale retrieval workloads.
- Build AI/LLM components supporting natural-language interaction with engineering data, including retrieval and agentic workflows.
- Diagnose and resolve reliability and performance issues in distributed batch-processing pipelines handling large data volumes.
- Develop pipelines that bring additional engineering data domains onto the platform.
- Tune LLM components for accuracy, cost, and latency.
- Use the team’s testing, version-control, and code-review practices.
- Collaborate with architecture, verification, and design teams to translate workflow needs into platform capabilities.
Requirements
- Bachelor's or master's degree in computer science, computer engineering, electrical engineering, or a related field.
- Strong Python engineering experience in a large shared codebase with unit, integration, and end-to-end testing.
- Experience with graph databases and/or vector search systems, including schema design and retrieval-query performance.
- Experience with LLM-based or agentic systems, including retrieval-augmented generation, agent orchestration frameworks, tool use/function calling, and LLM cost, latency, and token tradeoffs.
- Familiarity with RTL/HDL/physical design semantics, including SystemVerilog, Verilog, software/hardware modeling, module hierarchy, instantiation, and parameters.
- Experience with time-series and relational data stores and consistency across multiple database backends.
- Strong written and verbal communication skills.
Tech Stack
Categories
About AMD
AMD designs and sells CPUs, GPUs, and adaptive/embedded computing products for PCs, data centers, gaming, and edge devices. Its portfolio includes Ryzen and EPYC processors, Radeon and Instinct graphics, and adaptive SoCs from its Xilinx acquisition, sold to OEMs, cloud providers, and device makers. Founded in 1969 and headquartered in Santa Clara, it is a public company on NASDAQ and supplies semi-custom chips for major game consoles.