Senior Machine Learning Platform Software Engineer – Perception

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September 9

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Glydways

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Transport • Artificial Intelligence • B2C

Glydways is a company focused on transforming public transit through innovative and efficient mobility solutions. Their unique approach includes a seamless self-driving fleet operating on dedicated guideways, allowing for direct and congestion-free rides. Glydways aims to make transit accessible and financially sustainable, promoting the idea that access to mobility is essential for opportunity and community engagement.

51 - 200 employees

Founded 2016

🚗 Transport

🤖 Artificial Intelligence

👥 B2C

📋 Description

• Documenting a detailed design for enacting a safe system that can be certified by public transportation authorities. • Implementing said design on mature prototype vehicles in demonstrations to customers, potential customers, and investors. • Expanding the design to include fail-operational capabilities that extend the overall system to safely give our customers a more comfortable experience. • Managing data collection, autonomy testing, and milestone demonstration events that showcase the system’s maturing capabilities, leading to a production system. • Introducing and customizing automation into data extraction and labeling pipelines. • Design and improve metrics pipelines and create monitoring dashboards to track performance of perception systems in production. • Build and maintain infrastructure and ETL pipelines for training, validating, and deploying ML models. • Build and maintain infrastructure for interfacing with third party labeling companies. • Ensure reproducibility, traceability, and observability of Perception workflows. • Team members may work remotely and must be self-motivated.

🎯 Requirements

• 5+ years  experience in  Modern C++ software design and development. • Experience with large multimodal datasets and their curation. • Self starter - experience developing a solution end-to-end starting from vague requirements in a cross team collaborative environment.. • Good communication skills and a collaborative mindset. • Robotics and/or autonomous driving platform experience • Implementation of end- to- end test and metrics workflows and dashboards • Implementation of analytics and insight tools for AD datasets • ML model deployment in production grade C++ software stacks • Python skills • Familiarity with containerization (Docker) and orchestration (Kubernetes). • Familiarity with cloud platforms like AWS, GCP, or Azure. • Hands-on experience with ML platforms (e.g., MLflow, SageMaker, Valohai, or equivalent). • Experience in building 3D Visualization tools for LiDAR point cloud data