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# Staff Software Engineer, Logging

- **Company:** Aurora Corporation
- **Location:** Mountain View, CA, United States
- **Salary:** $189,000.0 - $303,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Computer Programming, Data Integrity, Linux, File Systems, Information Lifecycle Management, Data Streaming, Wireless Networks, Data Logging, Safety Critical Systems, Storage Technologies, Information Technology, Production Code, Codebase, Dynamic Data, Nvme, Golang, Programming Languages
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_e072bc821dae8771950112fd7073e784

## About the Role

* BS/MS/PhD in Computer Science or related field, or equivalent industry experience
 * Expert-level C++ programming skills and the ability to design high-performance, thread-safe, and memory-efficient systems in a Linux environment
 * Proven experience working with storage technologies, block devices, and making informed file system choices based on write endurance, throughput, and crash-consistency constraints
 * Ability to work across multiple programming languages and paradigms
 * A passion for writing robust, intuitive, and pragmatic production code.
 * Ability to navigate and work effectively in large codebases
 * Strong verbal and written communication skills
 * Ability to work autonomously and collaborate effectively with colleagues across time zones., * Experience with performance evaluation and optimization.
 * Strong programming skills in GoLang
 * Experience with safety critical systems

## Description

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for a Staff Software Engineer to join Aurora's Logging & Offload team. This team is responsible for Aurora's self-driving vehicle software stack, focusing on resource-optimized data collection and streamlined wireless data offloading at scale across diverse environments., * Design and implement high-throughput, low-latency logging frameworks capable of handling massively parallel data streams

 * Define smart, dynamic data collection policies (e.g., triggering high-fidelity snapshots during performance events while intelligently downsampling routine driving data)
 * Evaluate, select, and tune file systems to maximize write speeds and guarantee data integrity
 * Collaborate with systems and hardware teams to select storage media (NVMe, SSDs) and optimize kernel-level I/O performance.
 * Work with autonomy engineers to meet performance and efficiency requirements for data collection and offload
 * Provide engineering support for field testing and fleet operations
 * Mentor senior engineers, set coding standards, and drive the long-term roadmap for on-vehicle data lifecycle management.