Manager, Data Ingest & Analysis (Model Dev Platform) at Wayve

London, England, United Kingdom

Wayve Logo
$150,000 – $225,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Autonomous Vehicles, SoftwareIndustries

Requirements

Candidates should have 8+ years of software engineering experience, including at least 3 years managing teams focused on data or platform engineering. Experience with large-scale data processing pipelines, Spark, and workflow orchestration tools like Flyte is essential. Proven leadership skills, including team building, mentorship, and talent development, are required.

Responsibilities

The Manager, Data Ingest & Analysis will lead a team of data and platform engineers responsible for collecting, transforming, and analyzing petabytes of driving data. Responsibilities include defining and executing the team's roadmap, managing and optimizing large-scale Spark-based data processing pipelines, overseeing transcoding and processing workflows, enabling data collection from various sources, normalizing data, and ensuring the reliable operation of data processing workflows using tools like Flyte and operational observability.

Skills

Data Ingestion
Data Analysis
Multimodal Data
Driving Data
Model Development
Leadership
Team Management

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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