Lead Product Manager, Hardware Platform

present of AI; San Francisco (CA); Presencial; USD 160.000 - 210.000; Jornada completa

Descripción de la vacante

Waabi is seeking a role focused on defining the physical vehicle platform requirements for trucks and robotaxis. The candidate will convert complex real-world scenarios into clear, testable requirements and bring hands-on hardware experience to drive production-ready decisions.

The ideal candidate has taken physical products from concept to production, works well with car makers and suppliers, and collaborates with both hardware and software teams to validate safety, performance, and reliability

Formación

• Experience turning physical products from concept to production.
• Hands-on hardware background with familiarity in vehicle systems.
• Ability to draft clear, testable requirements with acceptance criteria.

Responsabilidades

• Own requirements for the physical vehicle platform across trucks and robotaxis.
• Collaborate with OEMs, suppliers and hardware teams to align with software needs.
• Translate messy real-world situations into verifiable requirements and tests.

Conocimientos

Hardware design

Requirements engineering

System engineering

Test planning & acceptance criteria

Educación

Engineering degree or hands-on hardware background

Herramientas

Prototyping tools

Descripción del empleo

This role owns the requirements for the physical vehicle platform that carries Waabi's self-driving software, across both trucks and robotaxis. It asks for someone who can turn messy real-world situations into clear, testable requirements, and who knows enough hardware to separate a bold idea from an impossible one. A strong candidate has taken physical products from concept to production, has an engineering or hands-on hardware background, and can work well with car makers and suppliers.

How it fits the AI era

As self-driving software gets better, the vehicle itself becomes the place where trust is won or lost: how it signals to other road users, how it treats riders, and how it holds up to tampering. AI can speed up drafting requirements and exploring design options, but it cannot stand in for hands‑on checks in mock‑ups and real vehicles. Judgment about safety, honest trade‑offs, and relationships with partners stay human.

How it builds AI experience

Working here would mean seeing how a company built around AI‑trained driving turns software needs into real sensors, displays, lighting, and cabin features. Someone could build related experience by studying how autonomous vehicles communicate with pedestrians and first responders, and by learning the safety standards used for driverless systems. Time spent with the teams that integrate hardware with the driving software would show how the two shape each other.

Worth showing

• Hardware concept to production record
• Testable requirements with acceptance criteria
• HMI and human factors instincts
• OEM and supplier partnerships
• Hands‑on mock‑up and vehicle testing

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Waabi

A Toronto company training self-driving trucks and robotaxis mostly inside its own AI-generated simulator, rather than by racking up millions of real road miles.