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Software Developer role at ViaPlus, a global Intelligent Transportation Systems company, though the posting is truncated and does not describe day-to-day responsibilities or core technologies.
Engineer solutions for autonomous vehicle routing behavior, develop mission planner algorithms with graph search and behavioral planning integration, and build automation tools to accelerate analysis workflows.
This role involves designing and developing safety-critical embedded software for autonomous systems within a specialist engineering team. The position requires proficiency in C or C++ and experience with real-time or embedded systems in regulated environments.
The Assistant Project Manager supports the delivery of electric vehicle service center construction projects by managing documentation, onboarding, project dashboards, and purchase orders. The role requires 3-5 years of construction management experience and proficiency in project management software.
The Senior Project Manager will oversee the end-to-end construction and installation of EV charging sites for a high-profile technology client in New Orleans. The role involves managing project planning, financial reporting, stakeholder communication, and contractor bidding from the design phase through to final handover.
Develops high-performance 5G wireless software (C++/Python) for Globalstar’s XCOM RAN platform, focusing on PHY layer and 3GPP control plane for mission-critical connectivity solutions.
Oversee a team of design leads and staff to ensure aviation and transportation infrastructure projects meet technical standards, quality benchmarks, and client requirements.
The Product Owner drives internal business application development, aligning cross-functional teams to deliver scalable solutions for automotive disruption. Daily work includes backlog management, stakeholder collaboration, and roadmap execution to optimize business processes.
Develop and run hardware-in-the-loop tests for automotive ECUs using Python or CAPL, analyze CAN/LIN/Ethernet traces, and maintain automated test scripts.
The Data Engineer will develop and maintain data lake functionality, build ETL pipelines, and create data models to support electric vehicle charging infrastructure operations. The role requires strong Python and SQL skills and involves collaborating with cross-functional teams to provide actionable business insights.
Design data architecture and pipelines using Snowflake and dbt for an automotive company, with Python and data modeling skills, working autonomously within a growing data team.
Lead Full Stack Senior Developer at Egis, designing and evolving web applications for road infrastructure operators using Spring Boot, Angular, PostgreSQL, Docker, and GitLab CI/CD, while mentoring developers and driving architectural decisions.
Build and maintain ML pipelines that convert and deploy autonomous-truck models to edge hardware, ensuring latency and accuracy meet safety-critical requirements.
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.
Builds a web-based 2D/3D annotation platform that labels multi-sensor AV data for training and validating autonomous truck software using TypeScript/React, three.js/WebGL, and Python.
Build Python tools and data pipelines that plan fleet data collection, validate AV map updates via simulation, and surface real-time metrics for Torc’s autonomous trucking platform.
Build and deploy ML models for 3D scene reconstruction, lane detection, and HD map creation using LiDAR/camera data to auto-generate high-quality annotations for autonomous trucks.
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.
The Machine Learning Engineer will provide MLOps support for autonomous trucking model development, including debugging pipelines, maintaining infrastructure, and collaborating with engineering teams. The role focuses on ensuring reliable model deployment using Python, PyTorch, and various MLOps orchestration tools.
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.
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