Staff Software Engineer, Logging

Aurora

Mountain View (CA)

Presencial

USD 189 000 - 303 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Annual bonus
Equity compensation
Comprehensive benefits

Resumo da oferta

Aurora is seeking a Staff Software Engineer to enhance our self-driving vehicle software stack. This role focuses on designing high-throughput logging frameworks and optimizing data collection strategies.

The ideal candidate will possess extensive experience in C++ programming, storage technologies, and possess strong communication skills. The position offers significant salary potential and opportunities for mentorship within the team.

Qualificações

  • Expert-level C++ programming skills with high-performance system design in Linux.
  • Proven experience with storage technologies and optimizing file systems.
  • Strong ability to work autonomously and collaborate across time zones.

Responsabilidades

  • Design high-throughput, low-latency logging frameworks for data streams.
  • Collaborate with systems teams to optimize I/O performance.
  • Mentor senior engineers and drive the roadmap for data lifecycle management.

Conhecimentos

C++ programming skills
Strong verbal and written communication skills
Ability to work across multiple programming languages

Formação académica

BS/MS/PhD in Computer Science or related field

Ferramentas

Storage technologies
Linux environment

Descrição da oferta de emprego

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.

In this role, you will
  • 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.
Required Qualifications
  • 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.
Desirable Qualifications
  • Experience with performance evaluation and optimization.
  • Strong programming skills in GoLang
  • Experience with safety critical systems

The base salary range for this position is $189,000-$303,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job‑related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.

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