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HomeCompaniesAurora InnovationStaff Software Engineer, Logging (C++)

Staff Software Engineer, Logging (C++)

Aurora Innovation · Pittsburgh, Pennsylvania · Hybrid · Active · $171,000–$273,000 / year · Greenhouse

Job facts

FieldValue
CompanyAurora Innovation
TitleStaff Software Engineer, Logging (C++)
Normalized title-
Department / teamSoftware Autonomy Sensing
LocationPittsburgh, PA, United States
Work modelHybrid / Hybrid
Employment type-
Salary$171,000–$273,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-01 / 2026-06-02
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Aurora Innovation.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Pittsburgh.Open
Department jobsActive postings in Software Autonomy Sensing.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAurora Innovation
Source14b66baf-5e9a-46d6-b19a-27db992cf918
ATS providerGreenhouse

Description

Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn . 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 $171,000-$273,000 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. #LI-td-1 #Mid-Senior Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom . Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion 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 [email protected] . For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

Full job record

Job ID7cad480e9a4926135315efff0a5dd4df5506f6fe
Org ID31ed847a-3ae7-4d3b-a223-90678286fdc6
Source ID14b66baf-5e9a-46d6-b19a-27db992cf918
Board ID14b66baf-5e9a-46d6-b19a-27db992cf918
Providergreenhouse
Provider Job Key8573775002
TitleStaff Software Engineer, Logging (C++)
Normalized Title
Statusactive
Activeyes
Location TextPittsburgh, Pennsylvania
DepartmentSoftware Autonomy Sensing
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionPA
CityPittsburgh
Salary Rawsalary range for this position is $171,000-$273,000 per year
Salary Min171,000
Salary Max273,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://aurora.tech/jobs/8573775002?gh_jid=8573775002
Apply URLhttps://aurora.tech/jobs/8573775002?gh_jid=8573775002
First Seen At2026-06-02 12:03:54Z
Last Seen At2026-06-06 19:22:13Z
Last Checked At2026-06-06 19:22:13Z
Last Changed At2026-06-06 07:31:58Z
Inactive At
Source Posted At2026-06-01 19:21:34Z
Source Updated At2026-06-05 23:06:34Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=aurorainnovation/date=2026-06-06/2026-06-06T19-22-12-490Z-42c66b3955cb148c0db1ccd1dd8801b2db9264fad5f9a98ecf112b59eb4217de.json
Event Fields
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  "last_changed_at": "2026-06-06T07:31:58.118Z",
  "active_status": "active"
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Parsed Structured
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    "countries": [
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  "remote_policy": "hybrid",
  "salary_period": "year",
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  "salary_currency": "USD"
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Extensions
{}
Native Structured
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  "requisition_id": 6418030002,
  "first_published": "2026-06-01T15:21:34-04:00",
  "application_deadline": null
}
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