Director - Care Management - Mountain View, CA, United States - Wayve

Description

Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly.

Supported by prominent investors, Wayve is advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible.

Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale
As Director of Engineering you will manage the Evaluation and Validation group within our Software Engineering organisation. You will report to the VP of Software who reports to the CEO.

There are four R&D groups in the Software department:

Cloud Infrastructure (data and ML training infra)
Onboard Software (the car computer system software)
Embodied AI Products (the AI+Robotics autonomy software and data)

Your mission is (1) to enable Wayve to iterate quickly towards solving Autonomy problems and (2) to make our AI products trusted by our commercial partners and end users.

You will be responsible for defining and building a development and validation toolkit and process for our Embodied AI technology.

Today that includes Simulation (digitise the self-driving problem in order to enable the creation of new training and validation datasets), Experiments (essentially the Embodied AI development toolkit), Data Science (measurement reliability and accuracy in noisy self-driving environments).

You will need to develop additional capabilities to evaluate model performance and validate its safety across a large corpus of recorded and synthesised scenarios.

Greatly improve our ability to predict and compare on-road performance through off-road simulation
Partner with the senior leadership team to maintain a culture of impact, performance, and health
You are expected to establish solid software and ML practices from the start and to attract technical leadership
You will provide leadership and guidance to the Engineering Managers within your area


Management:
2+ years of leading teams of 50+ engineers at large companies or 25+ at startups

Execution skills:
resource allocation, program planning and execution

Domain skills:
neural net understanding/introspection and/or validation

Engineering skills:
code development practices, testing, serviceability

Education:
BS or MS in Computer Science, Engineering, or similar experience
Industry experience in Robotics, particularly related to simulating robots
Industry experience with Computer Vision with real-world product impact
Experience with cloud platforms, databases, large scale data pipelines
Fully employer-covered medical, dental and vision insurance

Further benefits such as catered lunch, yummy snacks, and variety of drinks, life insurance, employer contributed retirement account, therapy, yoga, office-wide socials and much more.

This is a full-time role based in our office in California.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age, religious belief, marital status, protected veteran status , or any other legally protected status.

We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews.

However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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