Top Tech Jobs & Startup Jobs

3 Days AgoSaved
In-Office
Mountain View, CA, USA
136K-197K Annually
Senior level
136K-197K Annually
Senior level
Automotive • Software
Integrates and maintains automotive test benches, prototype vehicles, ECUs, software, hardware, wiring, and diagnostic systems for ADAS development. Performs flashing, functional verification, trace collection, debugging, simulation, root cause analysis, and validation. Manages test fleet logistics, garage operations, inventory, compliance, safety inspections, vehicle scheduling, and maintenance. Maintains detailed technical documentation, trains team members, collaborates internationally, and operates prototype vehicles for data collection and testing.
Top Skills: AndroidClamp Status SimulatorsConfluenceCp-ToollEcusGoogle WorkspaceHcpsIdexIn-Vehicle Measurement SystemsInstrumentation ToolsIso 9001JIRAKrypto42KvsMS OfficeMultimetersOdis-EOscilloscopesOta UpdatesRest Bus EmulationSensor TechnologiesSyst42Wiring Harnesses
6 Days AgoSaved
In-Office
Chattanooga, TN, USA
Senior level
Senior level
Automotive • Software
Leads North American automotive software launches and test operations across Volkswagen Group platforms. Coordinates regional test scope, funding, facilities, test benches, automation, release readiness, risks, blockers, suppliers, and cross-functional stakeholders. Manages and coaches a technical team, aligns regional and global responsibilities, tracks validation results, supports launch milestone steering, and escalates issues to drive timely resolution. The role requires extensive automotive product development, technical program management, vehicle software, and release validation experience.
Top Skills: Automotive Software ArchitectureMebMqbRemote Test Automation
One Month AgoSaved
In-Office
Mountain View, CA, USA
162K-234K Annually
Senior level
162K-234K Annually
Senior level
Automotive • Software
Own the architecture and operation of large-scale autonomous-driving datasets, from multimodal vehicle-data ingestion through curation, quality monitoring, labeling, versioning, and ML training delivery. Design schemas, storage, query, distributed pipelines, observability, and reproducible dataset splits. Lead data-quality, drift, anomaly, auto-labeling, human-review, and closed-loop workflows, including trajectory preparation for imitation learning and offline reinforcement learning. Provide staff-level technical leadership across autonomy, annotation, storage, governance, and model teams.
Top Skills: Amazon S3Apache AirflowApache ArrowApache BeamSparkDagsterDaskGoogle Cloud StorageLanceParquetPythonRaySQLVlms
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