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Senior Machine Learning Platform Software Engineer - Perception at Jobgether. This position is posted by Jobgether on behalf of Glydways. We are currently looking for a Senior Machine Learning Platform Software Engineer - Perception in the United States.. This role provides an exciting opportunity to shape the future of autonomous transportation by developing advanced perception systems. You will work on cutting-edge ML pipelines and infrastructure that enable safe, reliable, and efficient operation of autonomous vehicles. Collaborating with a team of engineers and data scientists, you will design, implement, and optimize data processing, model training, and deployment workflows. This position requires a balance of software engineering expertise, machine learning knowledge, and practical problem-solving skills in a fast-paced, innovative environment. Your contributions will directly impact the development of scalable, production-grade perception systems that power next-generation mobility solutions. This role is ideal for a self-motivated engineer passionate about AI, robotics, and real-world autonomous systems.. Accountabilities. . Develop and enhance ML data extraction and labeling automation pipelines for perception systems.. . Build and maintain robust infrastructure and ETL pipelines to support training, validation, and deployment of ML models.. . Design, implement, and monitor metrics pipelines and dashboards to track perception system performance in production.. . Manage interfaces with third-party labeling services to ensure consistent, high-quality data for model development.. . Ensure reproducibility, traceability, and observability of perception workflows across the platform.. . Collaborate with cross-functional teams to support perception system development, testing, and demonstrations.. . . 5+ years of experience in modern C++ software design and development.. . Proficiency in managing and curating large, multimodal datasets.. . Strong self-starter with experience delivering end-to-end solutions from ambiguous requirements in collaborative environments.. . Excellent communication skills and a collaborative mindset.. . Experience or familiarity with robotics or autonomous driving platforms is a plus.. . Practical experience deploying ML models in production-grade C++ software stacks, including Python proficiency.. . Knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure) is desirable.. . Hands-on experience with ML platforms such as MLflow, SageMaker, or equivalent, and visualization of LiDAR point cloud data is a plus.. . Company Location: United States.