Manager, Cloud Infra at Wayve

London, England, United Kingdom

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Autonomous Driving, AutomotiveIndustries

Requirements

Essential
Prior experience as a manager of Software, SRE or DevOps teams
Professional experience in a leadership role with teams that have a heavy support load
Passionate about fostering personal and professional growth in individual team members
Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables
Prior hands-on development experience in software systems, build systems or IT systems
BS, MS or PhD in Computer Science, Engineering, or similar experience
Desirable
Expert knowledge of build systems (Bazel, make), modern CI/CD solutions (buildkite, gitlab, CI), Linux and Python

Responsibilities

Manage a team of Software, Platform and DevOps engineers. Ensure team members are having a strong impact and are set up for success
Collaborate with the team tech lead to define and then drive the technical roadmap
Ensure projects are resourced in a way that balances the needs of the business with the needs of the individuals
Prioritise effectively and keep processes lean and effective
Partner with the leadership team to maintain a culture of collaboration, impact, innovation, and health
Grow the team as a hiring manager, to bring in complementary, diverse skill sets and backgrounds. Anticipate the needs of the business 18 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment
Contribute to the day-to-day running of the Software team’s operations and larger collaborative efforts

Skills

CI/CD

DevOps

Cloud Infrastructure

Build Systems

Platform Engineering

Developer Experience

Team Management

Technical Roadmap

Wayve

Develops autonomous vehicle technology using AI

About Wayve

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

London, United KingdomHeadquarters

2017Year Founded

$1,272.3MTotal Funding

SERIES_CCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Increased competition in San Francisco could dilute Wayve's market presence.

Regulatory challenges may delay the deployment of Wayve's technology with Uber.

Wayve's reliance on AI systems may face skepticism from traditional automakers.

Differentiation

Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.

Its AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.

Wayve's end-to-end deep learning approach offers a cost-effective solution for automakers.

Upsides

Wayve's partnership with Uber expands its market reach and data collection opportunities.

The expansion into the U.S. market taps into a larger talent pool and partnerships.

Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

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