Supports HR Business Partners with day-to-day people operations, employee relations, performance management, talent initiatives, reporting, and process improvements while advising managers and employees on HR matters.
Lead end-to-end map data releases for vehicle development, from vendor data conversion and quality verification to delivery, while expanding geospatial pipelines and building team expertise.
่ป่ผใปใชใใใผใ้็บๅใใฎๅฐๅณใใผใฟใซใคใใฆใใใณใใผใใผใฟใฎ่ชฟ้ใใๅคๆใๅ่ณชๆค่จผใใชใชใผในใพใงใใชใผใใใๅฐๅณไปๆงใใใคใใฉใคใณใฎๆดๅใใใผใ ใฎๅฐ้ๆงๅไธใๆ ใใพใใ.
Develop data strategies and scalable pipelines that improve machine-learning performance for camera-based AD/ADAS perception, while analyzing large datasets and leading data science activities across teams.
ใใผใฟใตใคใจใณใใฃในใใจใใฆใAD/ADASๅใ่ช่ญใขใใซใฎๆง่ฝๅไธใ็ฎๆใใๅคง่ฆๆจกใใผใฟๆฆ็ฅใฎ็ญๅฎใในใฑใผใฉใใซใชใใผใฟใใคใใฉใคใณใฎๆง็ฏใใใผใฟๅๆใจใใผใ ใฎๆ่กๅๅไธใๆ ใใพใใ.
MLOps/LLMOpsๅบ็คใๅ ฑ้ใฏใผใฏใใญใผใ่จญ่จใป้็จใใAIใใญใใฏใใฎ้็บใ่ฉไพกใใชใชใผในใ็ฃ่ฆใ่ชๅๅใใฆใๅ่ณชใปๅฎๅ จๆงใปไฟก้ ผๆงใจ้็บ็็ฃๆงใ้ซใใพใใ.
Build and operate reusable MLOps/LLMOps platforms that help product teams develop, evaluate, release, and monitor AI systems safely, reliably, and efficiently across multiple products.
Consult with Woven City inventors throughout the Plan, Build, and Test lifecycle, clarifying their needs and coordinating resources and product-team collaboration to help advance their innovations.
Build and maintain cloud-based data infrastructure and ingestion pipelines that give autonomous-driving teams efficient access to large-scale vehicle data for machine learning, validation, and simulation.
Develop and strengthen software quality assurance for automotive software by defining development processes, auditing projects, improving quality tools, and partnering with engineering teams to ensure safe, high-quality products.
Evaluates vehicle testing and deployment safety by reviewing safety cases, assessing operational risks and mission constraints, and coordinating mitigations and readiness decisions across engineering and operations teams.
Architect and integrate core simulation engines, frameworks, and APIs for AD/ADAS development, improving virtual validation through real-world performance analysis and collaboration across autonomy and release teams.
EVๅ ้ปใV2Xใๅคช้ฝๅ ็บ้ปใEMSใ็ตใฟๅใใใB2Bใฝใชใฅใผใทใงใณใฎๆ่กๆๆกใจๅฐๅ ฅใๆฏๆดใใใใผใใใผๆฅญๅใๅน็ๅใใใใธใฟใซใใผใซใฎ่ฆไปถๅฎ็พฉใป้็บใๆจ้ฒใใพใใ.
Leads technical sales and solution design for B2B EV charging, V2X, PV, and energy-management systems, translating customer and partner needs into feasible proposals and scalable digital tools.
Build and support cloud-native data acquisition systems that ingest, process, store, and serve large-scale vehicle data, enabling data validation and development of autonomous driving products.
Leads the design and scaling of cloud-native data acquisition systems for autonomous driving, building reliable pipelines that ingest, process, and serve large-scale vehicle data while shaping system strategy and engineering practices.
MaaSใใญใใฏใใฎใใญใณใใจใณใ่จญ่จใปๅฎ่ฃ ใปใในใใปๆนๅใๆ ใใReactใTypeScriptใงไฝฟใใใใๆกๅผตๆงใฎใใไฝ้จใๅฎ็พใใพใใใฆใผใถใผใ้ๅถ่ ใฎๅฃฐใใใผใ ใจ้ฃๆบใใฆใใญใใฏใใซๅๆ ใใพใใ.
Build and improve the frontend of a MaaS product, creating accessible, reusable interfaces for mobility users and operators while translating real-world feedback into better services.
Supports safe, compliant vehicle testing and deployment by assessing operational risks, reviewing safety cases, translating regulations into project requirements, and guiding data-informed readiness decisions.
Leads the AD/ADAS technical program management team, driving data, software validation, and release programs from concept through production while aligning global teams and ensuring quality delivery.
ใฆใผใใณใปใใคใปใใจใฟใซใคใใฆ ใฆใผใใณใปใใคใปใใจใฟ ใฏใใใจใฟใฎ100ๅนดใซไธๅบฆใฎใขใใชใใฃใปใซใณใใใผใธใฎๅค้ฉใซๅฏไธใใฆใใใพใใใ่ชๅไปฅๅคใฎ่ชฐใใฎใใใซใ็บๆใ็ถใใใจใใๆญดๅฒใใใคใณในใใฌใผใทใงใณใๅใใ็งใใกใฎใใใทใงใณใผใใใฏใใขใใชใใฃใฎๅฎ็พฉใๆกใใใใใฆใขใใชใใฃใ็คพไผใซ่ฒข็ฎใใๆนๆณใๆกๅผตใใไบบใๆณใใคใใใผใทใงใณใงใใขใใชใใฃใฎๅธธ่ญใซๆใฟ็ถใใใใจใงใใ.
Build and operate a resident-centered community at Woven City, supporting onboarding and participation in co-creation activities while improving resident experiences and coordinating with inventors and other stakeholders.
Design and deploy machine learning models for autonomous vehicle perception, advancing multimodal foundation models, 3D scene understanding, and end-to-end training and inference systems for production vehicles.
Leads safety management and enterprise risk initiatives by improving the Safety Management System, facilitating cross-functional governance, and advancing risk controls and safety culture across vehicle operations.
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