Network Software Engineer
Company: Teradata
Location: San Diego
Posted on: March 22, 2026
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Job Description:
At Teradata, we believe that people thrive when empowered with
better information. That’s why we built the most complete cloud
analytics and data platform for AI. By delivering harmonized data,
trusted AI, and faster innovation, we uplift and empower our
customers—and our customers’ customers—to make better, more
confident decisions. The world’s top companies across every major
industry trust Teradata to improve business performance, enrich
customer experiences, and fully integrate data across the
enterprise. What You’ll Do We are seeking a Staff Software Engineer
to lead the design, development, and evolution of networking
software for our massively parallel processing (MPP) platform, the
foundation of our database and AI solutions. You will influence
technical direction, mentor engineers, and leverage AI-assisted
development tools to accelerate innovation and execution at scale.
Key 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. Who You’ll Work With In this role, you will operate
across the full lifecycle from research and architecture through
production deployment, working closely with platform, hardware, and
product engineering teams. What Makes You a Qualified Candidate
Required Technical Skills: • 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. Nice to Have: •
Experience with DPUs, SmartNICs, or hardware offload technologies.
• Hands-on work with kernel-bypass networking (e.g., RDMA verbs,
DPDK, XDP, eBPF). • Experience with high-speed Ethernet
(100G/200G/400G/800G) and modern interconnect fabrics. • Experience
tuning systems for NUMA, CPU affinity, cache locality, and memory
bandwidth. • Exposure to distributed storage or database platforms
in production environments. • Experience working with hardware
vendors (NICs, switches, accelerators) on performance or
integration issues. • Contributions to open-source networking,
kernel, or systems software projects. Education & Experience •
Bachelor’s degree in Computer Science (distributed systems focus
preferred), Computer Engineering, or Electrical Engineering, or
equivalent practical experience. • 7 years of experience in
high-performance Linux systems or networking software development,
with demonstrated technical leadership. What You’ll Bring •
Confidence and resilience, with the ability to navigate technical
disagreement, challenge assumptions, and incorporate feedback
constructively. • Proven ability to lead and coordinate real-time
troubleshooting of critical (P1) customer issues, rapidly
diagnosing system-level failures and driving resolution under
pressure. • Strong influencing skills, capable of aligning
cross-functional teams and driving outcomes without direct
authority or ownership of resources. • Excellent communication
skills, with the ability to clearly articulate complex technical
findings, remediation plans, and customer impact to both technical
and business stakeholders. • A collaborative, self-directed mindset
paired with strong intellectual curiosity and continuous learning.
• The ability to thrive in ambiguous, fast-paced environments while
bringing clarity, structure, and forward momentum.
Keywords: Teradata, Fullerton , Network Software Engineer, IT / Software / Systems , San Diego, California
