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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.
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.
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.
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, Machine Learning Engineer - 3D Perception
Senior Machine Learning Engineer designing and deploying 3D perception models for autonomous trucks, using PyTorch and multi-modal sensor data to improve environmental understanding.
Senior, HR Business Partner
About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade…
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.
ML Engineer, II - App Engine
Develops a C++ SDK/framework for composing and running autonomous-truck software on embedded Nvidia devices, focusing on performance, safety, and resource constraints.
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.
Analista de Sistema - Suporte de TI da Qualidade
IT systems analyst supporting GxP-regulated quality systems at Dr. Reddy's Brazil site in São Paulo: administering LabWare LIMS, Empower, Veeam backups and servers, running ITIL, change management and computer system validation (CSV), maintaining SOPs, and managing end-to-end digital projects for Quality operations. Requires 6+ years of pharma GxP application experience and fluent English.
Full-Stack Developer (.Net & Angular) – Hybrid + Health & Certs
Zemsania is hiring a full-stack developer for an insurance-sector client hub in Barcelona (hybrid, 2 weekly office days): designing, developing, testing and deploying web apps and AWS cloud services with Java, Python, TypeScript, Angular/Node.js, plus REST APIs, CI/CD, monitoring and generative AI (Claude) in the workflow.
Full Stack Engineer
Full-stack engineer at an early-stage SaaS startup building operational ERP software for Malaysian solar contractors. Ships end-to-end features across a Python/Django backend, TypeScript/React frontend, and AWS infrastructure, owning modules like billing or IoT integrations.