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Role Description

This role provides a unique opportunity to lead the development and optimization of machine learning platforms that power autonomous mobility systems. The Lead ML Platform Software Engineer will drive the creation, scaling, and monitoring of ML pipelines, ensuring high-quality, reproducible results for perception systems. Working closely with cross-functional teams, you will design infrastructure for data collection, labeling, training, and deployment, while introducing automation to accelerate workflows. The position emphasizes technical leadership, hands-on engineering, and collaboration across software, robotics, and data teams. Ideal candidates are innovative, self-motivated, and thrive in a fast-paced, mission-driven environment. This role allows you to make a tangible impact on cutting-edge mobility technology with real-world applications.

• Lead internal and external efforts to build, maintain, and enhance ML platforms and workflows.
• Introduce and customize automation in data extraction, labeling, and metrics pipelines.
• Develop infrastructure for training, validating, and deploying ML models in production environments.
• Design monitoring dashboards and analytics tools to track perception system performance.
• Ensure reproducibility, traceability, and observability across all ML workflows.
• Collaborate with cross-functional teams to define requirements, implement solutions, and support milestones for prototype and production systems.

Qualifications

• Strong proficiency in Python or C++, with experience in building ML platforms and pipelines.
• Hands-on experience with cloud-based ML workflow frameworks (e.g., Ray, Argo, Kubeflow).
• Leadership experience managing cross-functional teams and collaborative projects.
• Experience handling large multimodal datasets, data curation, and quality assurance.
• Self-starter capable of developing end-to-end solutions from high-level requirements.
• Strong problem-solving skills with customer-focused outcomes and excellent communication abilities.
• Desirable: 5+ years in modern C++ development, robotics or autonomous vehicle platforms, ML model deployment in production-grade systems, familiarity with Docker, Kubernetes, AWS, and 3D visualization tools for LiDAR data.

Benefits

• 💻 Remote Work – Flexible work environment supporting productivity and autonomy.
• 💰 Competitive Salary – Commensurate with experience and market benchmarks.
• 🏥 Comprehensive Health Coverage – Medical, dental, and vision insurance.
• 🌴 Paid Time Off – Generous vacation, personal, and parental leave.
• 📈 Professional Growth – Opportunities to work on cutting-edge autonomous mobility systems.
• 🛠 Access to Advanced Technology – Work with state-of-the-art ML, robotics, and perception tools.
• 👨‍👩‍👧‍👦 Inclusive Culture – Supportive, collaborative, and diverse work environment.