8,038 Mobility jobs
Open tech roles at companies in mobility, automotive and transportation.
Senior System Test Engineer - Simulation
Owns system-level simulation testing of Torc's autonomous driving software, planning and executing virtual V&V campaigns for perception and autonomy, maintaining the scenario library, and analyzing/triaging simulation results. Core stack includes OpenScenario-based scenarios, Python, YAML, and Linux.
Senior, ML Engineer - Tracking
Senior ML engineer on Torc's Tracking team, designing and deploying production multi-object tracking and sensor-fusion models (camera, LiDAR, radar) for autonomous trucks. Day-to-day spans building PyTorch training/evaluation pipelines, developing tracking and state-estimation algorithms, and shipping robust C++/Python production software.
Senior, Machine Learning Engineer - Camera Model
Develop and deploy deep learning models for camera-based perception in autonomous trucks, focusing on object detection, segmentation, and depth estimation using Python and PyTorch.
Staff, Machine Learning Engineer - BEV/Multi-Modal Perception
Staff-level machine learning engineer leading development of bird's-eye-view (BEV) and multi-modal perception models that fuse camera, LiDAR, and radar data for Torc's autonomous truck stack. Day-to-day is BEV transformer architecture design, large-scale distributed training in Python/PyTorch, evaluation, and mentoring — remote in the US or hybrid in Ann Arbor, MI.
Senior, Software Engineer - Autonomy Core Frameworks
Senior software engineer who architects and evolves the core frameworks underpinning Torc's autonomous truck driving stack — state management, inter-component communication, and real-time C++ components — while leading architecture reviews and mentoring engineers across the Behavior and Perception teams. Core tech: modern C++, Python, robotics middleware, distributed systems, Bazel.
Senior Machine Learning Engineer - Localization
Senior ML engineer building production ego-motion estimation and localization for autonomous trucks: learned pose estimation, sensor extrinsic calibration, map matching, and multi-sensor fusion (camera, LiDAR, radar), plus state-estimation algorithms. Core stack is PyTorch, Python, and modern C++ with large-scale real-world vehicle datasets.
Machine Learning Engineer, II - 3D Perception
Build and improve 3D perception models (LiDAR, cameras) for autonomous trucks using PyTorch and Python, integrating ML into Torc’s autonomy stack.
Walk-in || Full Stack Developer (Angular,JAVA,AWS)
Full-stack developer (3-6 yrs) at BMW Techworks India in Chennai, supporting and building business-critical applications: backend services in Java with Spring Boot/Quarkus, Angular 15+ frontend, PostgreSQL/MongoDB, Kafka streaming, and AWS (Docker, Kubernetes), plus incident management and monitoring duties.
Software Engineer II, Mission Interface
Builds and optimizes real-time C++ software that forms the interface between Torc's self-driving truck autonomy stack and its Mission Control, Remote Assistance, and telemetry systems, enabling mission planning, vehicle guidance, and performance monitoring. Core tech: modern C++ (14/17), Python, vehicle dynamics, and robotics frameworks like ROS/ROS2.
Software Engineer, II - Autonomy Data
Build and maintain data pipelines that ingest high-bandwidth sensor logs from autonomous trucks, curate datasets for ML training, and provide visualization tooling for autonomy engineers.
Senior, Product Cybersecurity Architect
Design and implement cybersecurity controls for autonomous truck software, embedding security into embedded Linux/QNX systems and automotive networks while collaborating with safety and autonomy teams.
ML Engineer, II - Perception
Build and scale Torc Sim, a simulation platform that replays and evaluates autonomy models against real and synthetic driving data, enabling teams to debug and improve ML models for self-driving trucks.
Software Engineer, II - Data Engineering
Data engineer at Torc Robotics building AWS-native data ingestion, ETL, and storage pipelines that feed ML training, simulation, and analytics for self-driving trucks. Day-to-day work spans Python, Linux, Docker, Terraform, and AWS serverless services, with a business-hours on-call rotation.
Software Engineer, I - Data Engineering
Entry-level data engineer at Torc Robotics (autonomous trucking) building and supporting Linux- and AWS-based data pipelines for ingestion, ETL, and data lake storage that feed analytics, simulation, and ML training. Daily work centers on Python, Docker, Terraform, AWS managed services, and a business-hours on-call rotation.
Senior, Software Engineer - AutoTagging
Build and scale data pipelines that tag petabytes of autonomous-truck logs, turning raw sensor data into curated driving scenarios for ML and simulation teams using Python, Databricks, AWS, and CI/CD.
Senior, ML Engineer - VLM
Senior ML Engineer builds and curates large-scale vision-language datasets to train Torc’s autonomous truck-driving models, using cloud pipelines, open-vocabulary labeling, and distributed compute.
Senior, ML Engineer - Auto Tagging
Build ML pipelines to extract and tag rare driving scenarios from petabytes of truck sensor data, enabling safer autonomous trucking through structured scenario libraries.
Senior, ML Engineer - 3D Reconstruction
Build and deploy ML systems that reconstruct 3D lane lines and maps from noisy sensor data (cameras, LiDAR, radar, GPS/IMU) to power autonomous truck perception and HD mapping.
Hardware Electronics Design Engineer
Hardware design engineer in Stellantis's Hardware Electronics group, steering development, launch and production of zone control unit (ZCU) and battery management system (BMS) boards for vehicles. Day to day: specs and board design, validation support with DV/PV and EMS suppliers, and hands-on work with schematics, automotive ICs and CAN-FD/LIN/Ethernet networks.
BGSW_2026_SAP_MDG_TechnoFunctional_Architect
Techno-functional SAP architect at Bosch in Bangalore leading the design and delivery of SAP MDG master-data governance solutions. Day-to-day involves OO ABAP development, complex workflow/change-request design, MDG BAdIs, DRF, and full MDG configuration (data models, UI, process modeling, governance rules).