Staff Software Engineer role leading the design, development, and evolution of networking software for Teradata's massively parallel processing (MPP) platform. Responsibilities include architecting scalable and fault-tolerant networking software for high-speed, low-latency interconnects, evaluating emerging technologies (DPUs, accelerators, interconnect fabrics), leading complex debugging and root-cause analysis across hardware/firmware/OS/networking layers, and mentoring engineers. Required expertise: HPC and distributed systems development, Linux kernel and driver development in C, InfiniBand and Ethernet networking with RDMA/RoCE, TCP/IP and UDP networking, packet-level analysis tools, high-throughput low-latency protocol design, and proficiency in C, Bash, and Python.
Jobs at Teradata
As a Staff AI Engineer at Teradata, you will lead the design and evolution of large-scale, distributed AI systems and platforms, owning architecture decisions for agentic AI, LLM platforms, RAG pipelines, vector stores, and developer-facing AI systems. You will drive technical strategy across multiple engineering teams, design production-grade AI systems using LLMs and embeddings, and establish engineering standards for reliability, safety, and operational excellence. This role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep understanding of distributed system design, cloud-native architectures, and production data stores. You will mentor senior engineers, influence product roadmap decisions, and serve as a technical escalation point for complex system design and performance challenges.
As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on scalable, marketplace-ready platforms across the Software Development Lifecycle. You'll develop high-quality backend services and APIs, integrate AI/ML technologies including LLMs and agentic AI, and collaborate with cross-functional teams on Teradata's AI platform. The role requires 5+ years of experience in backend services, distributed systems, or data platforms, with strong proficiency in Java, Go, or Python, and hands-on expertise in RESTful APIs, SQL/NoSQL databases, Kubernetes, and cloud platforms. You will also mentor engineers and stay current with emerging AI/ML and cloud-native technologies.
As Senior Manager of AI Governance Technology at Teradata, you will own the end-to-end technical architecture of the company's AI Governance Operating System, including intake pipelines, compliance monitoring, and agentic workflows. You'll lead the engineering of sophisticated automation using tools like n8n and Claude APIs, architect the AI tool registry, and design real-time monitoring systems that anticipate governance challenges. You'll serve as the internal expert on Claude Enterprise, Microsoft Copilot, and Teradata AI Studio integrations, setting technical standards and specifications that guide the broader engineering team. This is a technical leadership role requiring deep expertise in enterprise AI governance, system architecture, and the ability to make complex engineering decisions with significant autonomy.
Lead end-to-end development of AI agents and autonomous engineering tools for Teradata's enterprise platform, managing multiple global engineering teams. Shape engineering strategy for agent platforms, LLM gateways, vector stores, observability frameworks, and low-code/no-code/pro-code agent frameworks. Drive architecture standardization, governance practices, operationalization pipelines, and ROI metrics while partnering with product, architecture, and AI platform teams. Requires 12+ years software engineering experience with 5+ years in technical leadership, hands-on expertise with LLMs, agent frameworks, distributed systems, cloud platforms (AWS, Azure, GCP), and modern CI/CD tools.