2 days ago
Sunnyvale, CA, USAMid Level
H1B sponsor
Responsibilities
- Develop machine learning and hybrid physics-data approaches to improve vehicle and component model accuracy.
- Create model calibration, parameter estimation, adaptive modeling, and data-driven model improvement methods.
- Build workflows that compare model predictions with test, simulation, and real-world vehicle data.
- Build pipelines to ingest, clean, synchronize, transform, store, and access large-scale vehicle telemetry and time-series data.
- Develop cloud-based infrastructure for data processing, model training, simulation, evaluation, and validation.
- Create tools for dataset management, model evaluation, experiment tracking, and reproducible model development.
- Support data processing, model evaluation, and analysis workflows for vehicle intelligence.
Benefits
- The interview process includes application review, coding test, two interviews, offer negotiation, and hiring.
- Screening procedures may vary by position, schedule, or other circumstances.
- Applications must be submitted as PDF files under 30MB.
- 42dot is an equal opportunity employer and encourages applications from U.S. veterans and qualified individuals with disabilities.
Categories
Data EngineeringML Engineering
About 42dot
42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services securely. The privately held company is headquartered in Seongnam-si, Gyeonggi-do, and focuses on transportation and automotive markets.