Lead Software Engineer, Exadata

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Redwood City, CA
Salary
$114,600–$234,600 / yr
Posted
158 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $175k
$100k most similar roles pay here $249k

This role pays less than 54% of similar roles. Most pay $142,437–$214,600 — the shaded band above. At the midpoint, this role pays about $175k versus about $179k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 535 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 420 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Exadata

Lead Software Engineer - Exadata joins the Exadata team within the Server Technologies Division to develop components for the Exadata Storage Server and Database Machine. This role sits at the intersection of distributed systems, storage, and networking, where the engineer will design and implement high-performance networking features, optimize data paths, and develop parallel algorithms for large-scale clusters. The candidate will work on low-latency communication using RDMA/RoCE technologies to improve performance across database and storage nodes. Key requirements include expertise in Rust, proficiency in C/C++, and a strong background in network architecture, Linux development, and distributed systems. The role addresses the technical challenge of providing high-performance, scalable infrastructure for enterprise database workloads, focusing on solving complex bottlenecks across the software and hardware stack to ensure reliable communication in performance-sensitive environments.

What you'll do

  • Design and implement high-performance networking features for Exadata systems focusing on low-latency data paths.
  • Develop and optimize software for distributed communication across database and storage nodes using RDMA/RoCE technologies.
  • Improve end-to-end system performance by working across networking, storage, and compute boundaries.
  • Create parallel algorithms and distributed systems software for large-scale database and storage clusters.
  • Analyze, debug, and resolve complex performance bottlenecks across the hardware and software stack.
  • Proactively identify technical risks and drive complex system problems through to resolution.

What we're looking for

  • Must have 6 to 10+ years of experience.
  • BS/MS/PhD in Computer Science, Electrical Engineering, or a related field (preferred).
  • Strong expertise in Rust and proficiency in C/C++.
  • Strong background in network architecture and systems software development.
  • Experience with Linux development and distributed systems.
  • Knowledge of cloud networking architectures, Ethernet, and switching technologies.
  • Proficiency in algorithm design, parallel programming, and database systems.
  • Ability to debug complex performance bottlenecks in high-performance distributed environments.

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