CARIAD, Inc.

HQ
Wolfsburg
Total Offices: 6
171 Total Employees
Year Founded: 2018

Jobs at CARIAD, Inc.

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Recently posted jobs

16 Hours AgoSaved
In-Office
Mountain View, CA, USA
Automotive • Software
Develops and maintains ADAS vehicle test benches, including hardware and software configuration, commissioning, fault analysis, tracing, logging, and diagnostics. Supports automated driving system verification on public roads and proving grounds. The role involves vehicle retrofits, electrical schematics, custom cable assemblies, data collection, fleet management, system integration, documentation, safety compliance, shipping processes, and cross-functional collaboration.
18 Hours AgoSaved
In-Office
Mountain View, CA, USA
Automotive • Software
Supports ADAS embedded software integration through C/C++ changes, build and deployment troubleshooting, packaging, vehicle and bench flashing, diagnostics, and validation. The role investigates compile, runtime, configuration, and interface issues across local, CI, bench, and vehicle environments. It also develops simple automation scripts, documents technical findings, and coordinates with distributed software, test, integration, and release teams.
6 Days AgoSaved
In-Office
Mountain View, CA, USA
Automotive • Software
Develop and evaluate VLA, perception, and world-model components for autonomous-driving planning and control. Prepare datasets, run reproducible experiments, analyze model and trajectory performance, and integrate learned outputs with deployment systems. Apply optimization and classical control methods including QP, MPC, LQR, or PID to improve trajectory feasibility, smoothness, tracking, robustness, and runtime. Document findings, review code, collaborate with engineering teams, and deliver a reproducible prototype and technical report.
7 Days AgoSaved
Remote
DEU
Automotive • Software
Integrate production C++, embedded middleware, and AI inference components into autonomous-driving software stacks. Develop adapters and glue code, debug software across embedded hardware and middleware, validate inference performance, and execute embedded, recompute, regression, and HIL testing. Own complex integration issues through root-cause analysis and resolution while collaborating with ML, hardware, simulation, and vehicle engineering teams.
20 Days AgoSaved
In-Office
Mountain View, CA, USA
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.
23 Days AgoSaved
In-Office
Chattanooga, TN, USA
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.
One Month AgoSaved
In-Office
Mountain View, CA, USA
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.