Set technical direction for geometric vision and build 3D foundation models, data pipelines, and evaluation systems, taking research from prototype through deployment in autonomous-driving vehicles.
Maintain and repair an autonomous vehicle fleet by performing scheduled servicing, diagnosing mechanical and electrical faults, preparing vehicles for testing and demonstrations, and documenting maintenance.
Own full-cycle recruitment for Fleet Operations, building candidate pipelines and advising hiring leaders on hiring strategy, assessment, and closing while using data to improve hiring outcomes and processes.
Manage end-to-end, high-volume and specialist recruitment for Fleet Operations roles, building candidate pipelines, advising senior stakeholders, and improving hiring processes through data and market insights.
Lead a globally distributed training function, building scalable curricula, onboarding and certification frameworks that prepare vehicle operators and support teams for safe, compliant on-road operations.
Lead and line-manage Vehicle Safety Operators across rotating shifts, overseeing safe, high-quality fleet operations, incident response, performance, reporting, and team training.
Leads remote operations and feature-testing delivery, translating priorities into safe operational plans while managing team performance, resources, cross-functional coordination, and continuous improvement.
Leads training strategy and delivery for Fleet Operations in the US and Japan, building scalable learning programs, competency standards, and assessments that help teams operate safely and adapt to change.
Develop production-ready online calibration software for autonomous vehicles, integrating estimation algorithms and asynchronous sensor data while improving runtime efficiency, validation, diagnostics, and fleet-level observability.
Develop scalable methods and data pipelines to curate fleet-scale driving data, uncover safety-critical scenarios, and build benchmarks that improve autonomous driving and foundation models.
Lead the Applied Methods Data Science team, setting priorities and technical standards while delivering rigorous evaluations and insights that help autonomy engineers advance autonomous driving systems.
Lead analysis of autonomous-driving model performance across simulation, offline evaluation, and on-road tests, improving metrics and test coverage and delivering evidence-based recommendations for release decisions.
Diagnose and repair software and hardware faults across an autonomous vehicle fleet, maintaining uptime through rapid triage, safe repairs, clear handovers, and continuous operational improvements.
Maintain and repair an autonomous vehicle fleet by performing scheduled servicing, diagnosing mechanical and electrical faults, preparing vehicles for testing and demonstrations, and documenting work to support safe, reliable operations.
Own the roadmap for development and experimentation vehicle platforms, translating engineering and operational needs into scalable capabilities that accelerate experiments, data collection, and deployment.
Develop shared onboard runtime software for autonomous vehicles, improving application frameworks, middleware, observability, and end-to-end performance across operating systems and compute platforms.
Integrate onboard software with vehicle hardware, bring up new robotic platforms, and develop reusable components, diagnostics, and frameworks that support reliable deployment across vehicle programs.
Develop embedded Linux and QNX platform software for autonomous vehicles, from kernels and device drivers to diagnostics and IPC, enabling reliable fleet operation and rapid development.
Build and maintain embedded Linux and QNX software for autonomous vehicles, owning platform reliability, kernel and driver support, diagnostics, and performance so teams can develop and test driving systems.
Shape the technical roadmap and lead high-impact platform initiatives for robot software, improving reliability, observability, and developer velocity across vehicle programs and engineering teams.
Design and maintain automated tests for onboard embedded software, validating system behavior across hardware-in-the-loop platforms and helping teams detect, diagnose, and resolve issues before full-vehicle testing.
Design and deliver security controls for embedded firmware and Linux systems across an autonomous vehicle fleet, guiding architecture, vulnerability remediation, and penetration testing while partnering with engineering teams.
Lead and grow the Embedded Automotive Platforms team, combining hands-on software design and coding with coaching, roadmap ownership, and delivery of reliable embedded platforms for automotive autonomy systems.
Design, build, and operate a large-scale search and indexing platform for multimodal driving data, enabling retrieval for data curation, training-set construction, and ML research.
Page 4 · 171 results
