• AI and Robotics Understanding: Comprehensive knowledge of ML/AI, especially in the realm of mobile robotic systems and embodied AI products
• Technical Systems Expertise: Strong systems knowledge, including experience with building, deploying, and maintaining robotic systems (calibration, diagnostics, testing, component interfaces, HW/SW boundary, etc.)
• Embedded Compute Familiarity: Knowledge of embedded compute systems-on-chips (SoCs) from vendors like Nvidia and Qualcomm
• Analytical Prowess: Strong analytical skills to establish clear, measurable objectives and prioritise effectively
• Collaborative Spirit: Proven ability to proactively engage and collaborate across various technical and cross-functional teams
• Customer-Centric Product Mindset: Ability to anticipate market and customer needs, focusing on reusable artefacts and innovative solutions
• Autonomy Acumen: Your background in robotics, systems engineering, or automotive industry prepares you to navigate the complexities of autonomous driving functions, required interfaces, and integration considerations. From diagnostics to calibration to SoC’s to HMI considerations, you know what good looks like
• Customer-Centric Mindset: With a keen understanding of market dynamics and customer requirements, you anticipate needs, find commonalities and prioritise solutions that resonate with customers and scale
• Strategic Prioritizer: Your customer understanding and technical expertise enables you to select and focus on those features and requirements that really matter
• Collaborative Innovator: Your broad technical background and cooperative approach will bridge diverse teams and stakeholders, catalysing the product development journey

Desirable

• In the Product Manager role for Embodiment and Data, you will own the requirements and strategy for the integration and optimization of our end-to-end AI driving model within the broader self-driving stack (OS, middleware, sensors, compute, vehicle, etc.)
• You will effectively own the “embodiment” in the term “embodied AI”
• Your unique combination of technical knowledge, product insight, and cooperative initiative will be crucial to setting clear direction for the hardware, software, and robotics teams
• Your impact will be evident in the enhanced performance and readiness of our end-2-end autonomous driving tech for the market
• You will maintain clear and consistent communication with stakeholders such as the program, on board software, & automotive teams to ensure everyone has a comprehensive understanding of product interface/integration requirements and priorities
• Vehicle Platform and Software Interfaces Definition: You will articulate precise integration requirements for our AI model, influencing vehicle systems and software interfaces.Embedded compute platform strategy and performance: You will identify the optimal compute platforms for our AI model and set top level KPIs
• Middleware strategy: You will shape the requirements on compatibility with existing middleware solutions and APIs and forge partnerships where needed
• Calibration and Commissioning Processes: Your strategies will define how calibration (and other integration tasks) are managed before and after production, ensuring high-quality seamless customer workflowsData Filtering and Event Logging: You will set requirements for robust data filtering systems, capturing critical events for analytics and model enhancement
• We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed below. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply