Principal Software Engineer – Dataset and Annotation Quality - Physical AI, Autonomy & Data Platform

Job description

Job responsibilities

• Decision Making and Critical Thinking: Extensive knowledge of the decision-making process and associated tools and techniques;
• Effective Communications: Superior understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the…
• Software Development: Expert knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
• Software Development Life Cycle: Expert knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.
• Software Integration Engineering : Extensive knowledge of software integration processes and functions; ability to design, develop and maintain interfaces and linkage to alternative platforms and software packages.
• Software Product Design/Architecture: Extensive knowledge of software product design; ability to convert business requirements into the software product design.
• Software Product Technical Knowledge : Extensive knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.
• Software Product Testing : Extensive knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.

Job requirements

• Experience supporting AI/ML, autonomous systems, computer vision, robotics, or advanced analytics platforms.
• Experience with multimodal data (LiDAR + image + telemetry) annotation strategies.
• Familiarity with annotation tools or platforms (CVAT, Labelbox, SuperAnnotate, or similar).
• Experience with auto-labeling, active learning, or hybrid annotation systems.
• Experience leading or influencing annotation operations at scale (internal or vendor-based).