Staff Network Software Engineer: HPC/MPP + Flexible Work

Teradata Corporation (SE)

Pierre (SD)

On-site

USD 156,000 - 235,000

Full time

14 days+

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Job summary

Teradata is seeking a Staff Software Engineer to lead the design, development, and evolution of networking software for its massively parallel processing (MPP) platform. You will influence technical direction, mentor engineers, and leverage AI-assisted development tools to accelerate innovation at scale.

Role requires deep expertise in HPC, Linux kernel and driver development, high-performance networking, and experience with InfiniBand and RDMA.

Qualifications

Strong background in HPC or large-scale distributed systems development.
Proven experience with Linux kernel and driver development in C, including production support.
Deep familiarity with bare-metal and virtualized environments, including performance tradeoffs.
Expertise in InfiniBand and Ethernet networking, leveraging RDMA and RoCE for low-latency, high-throughput communication.
Solid understanding of TCP/IP and UDP networking, along with Linux networking, tuning, and diagnostic tools
Packet-level analysis and Linux kernel debugging using tools such as tcpdump, kgdb, and crash.
Experience designing and optimizing high-throughput, low-latency data transport protocols.
Strong knowledge of the Linux kernel, including DKMS, driver lifecycle management, and compatibility across kernel versions.
Proficiency in C, Bash, and Python for systems programming, automation, and diagnostics.
Experience with massively parallel processing (MPP) using message-passing interfaces.
Effective use of modern AI-assisted development tools to accelerate design, coding, and debugging.

Responsibilities

Architect, design, and evolve scalable, reliable, and fault-tolerant networking software for high-speed, low-latency interconnects, delivering predictable performance across large-scale MPP systems.
Evaluate and drive adoption of emerging technologies across operating systems, high-performance networking, adapters, DPUs, accelerators, and interconnect fabrics.
Lead complex debugging and root-cause analysis of system-level customer and field issues, including SLES OS crash dump analysis, spanning hardware, firmware, OS, and networking layers.
Define and execute targeted research initiatives and proof-of-concepts to validate new technologies, quantify performance, and guide platform decisions.
Partner with product, hardware, and systems engineering teams to scope, prototype, benchmark, and productionize platform enhancements.
Establish performance benchmarks, validation methodologies, and success metrics for networking and interconnect innovations.
Influence platform roadmaps through deep understanding of industry trends, academic research, and partner technologies.
Mentor and technically guide other engineers through design reviews, code reviews, and architectural discussions.
Leverage AI-assisted coding, analysis, and testing tools to accelerate development cycles and improve code quality and reliability.