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HomeCompaniesDiDi LabsStaff System Safety Engineer, Autonomy

Staff System Safety Engineer, Autonomy

DiDi Labs · San Jose, CA · Deleted · $178,286 / year · Greenhouse

Job facts

FieldValue
CompanyDiDi Labs
TitleStaff System Safety Engineer, Autonomy
Normalized title-
Department / teamSystem Engineering
LocationSan Jose, CA, United States
Work model-
Employment type-
Salary$178,286 / year
Statusdeleted
ATS providerGreenhouse
Posted / first seen2026-05-08 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-01

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Company jobsActive postings from DiDi Labs.Open
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ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Jose.Open
Department jobsActive postings in System Engineering.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

CompanyDiDi Labs
Source517a7ec8-8888-466c-9e61-8a975b9cd719
ATS providerGreenhouse

Description

About The Company DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet. About The Role We are seeking an experienced and mission-driven Staff System Safety Engineer, Autonomy to lead the safety strategy and deployment readiness of our fully autonomous driving systems. In this role, you will define and implement the safety frameworks, release policies, and system-level engineering processes that enable safe and scalable unmanned operations. You will act as a technical leader in system safety, ensuring that our vehicles meet rigorous safety standards while advancing toward large-scale commercial deployment. Responsibilities Own the safety evaluation and release strategy for unmanned autonomous driving operations, defining clear criteria for system release, degradation, and fallback under varying operating conditions. Design, implement, and champion the safety-related systems engineering framework, including safety requirements, system architecture, and Verification & Validation (V&V) plans. Conduct systematic assessments of unmanned operational workflows, emergency protocols, and supporting tools/platforms to ensure safety and operational completeness. Develop and institutionalize safety evaluation methodologies and metrics frameworks, translating safety goals into quantifiable, verifiable, and continuously tracked indicators. Serve as the technical lead for safety-related incident review and analysis during unmanned operations, driving continuous improvements in system design, test coverage, and operational procedures. Collaborate cross-functionally with Software, Product, Operations, and Safety teams to support leadership decisions regarding unmanned deployment, city expansion, and operational scaling. Qualifications Bachelor’s or higher degree in Computer Science, Software Engineering, Systems Engineering, or a closely related technical field. 5+ years of industry experience in systems engineering, safety engineering, autonomous systems, or a directly related field. Strong systems thinking with the ability to decompose complex safety challenges and drive practical, scalable solutions. Demonstrated ability to collaborate across teams, influence stakeholders, and take ownership of safety outcomes. Experience working in a fast-paced environment with multiple parallel projects and ambiguous requirements. Preferred Qualifications Professional experience in safety-critical autonomous vehicle deployment or large-scale robotic systems operations. Background in functional safety (ISO 26262, SOTIF) or safety assurance of unmanned systems. Hands-on experience with safety validation tools, simulation-based V&V, or operational safety monitoring platforms. Proven track record of defining release policies or safety readiness criteria for real-world autonomous systems. The base salary range for this full-time position is $178,286-296,400 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

Full job record

Job ID6a1014fd51fa27fccc3565ab05a2eff5cc4f1be4
Org ID6ecc93c6-aec0-47bf-982a-451958fa30e1
Source ID517a7ec8-8888-466c-9e61-8a975b9cd719
Board ID517a7ec8-8888-466c-9e61-8a975b9cd719
Providergreenhouse
Provider Job Key7906173
TitleStaff System Safety Engineer, Autonomy
Normalized Title
Statusdeleted
Activeno
Location TextSan Jose, CA
DepartmentSystem Engineering
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CitySan Jose
Salary Rawsalary range for this full-time position is $178,286-296,400 annually in addition to bonus, equity and benefits
Salary Min178,286
Salary Max
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/didi/jobs/7906173
Apply URLhttps://job-boards.greenhouse.io/didi/jobs/7906173
First Seen At2026-05-29 22:40:35Z
Last Seen At2026-06-01 10:19:32Z
Last Checked At2026-06-03 10:44:07Z
Last Changed At2026-06-03 10:44:07Z
Inactive At2026-06-03 10:44:07Z
Source Posted At2026-05-08 03:38:59Z
Source Updated At2026-05-08 03:38:59Z
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=didi/date=2026-06-01/2026-06-01T10-19-31-913Z-e7a3821d45099f7592b64c02d777cd8b8eac72f49d56a1dc079366743ff51dba.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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