Engineering Manager – Indexing and Search Systems at Wayve

Sunnyvale, California, United States

Wayve Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Autonomous Driving, AutomotiveIndustries

Requirements

  • 2+ years experience leading high-performing engineering teams
  • Proven track record designing and scaling distributed systems, particularly search or indexing infrastructure
  • Experience with vector similarity search, ANN algorithms, or semantic retrieval systems
  • Strong technical fluency with Python and/or systems-level languages (e.g., C++, Go)
  • Familiarity with data stack components

Responsibilities

  • Lead and grow a team focused on the design, scaling, and reliability of Wayve’s corpus indexing systems
  • Define the technical architecture for embedding-based retrieval (e.g., CLIP, internal latent spaces)
  • Define the technical architecture for metadata-based querying across large-scale video + sensor datasets
  • Define the technical architecture for multi-modal index structures for fast, expressive search
  • Establish engineering rituals (planning, standups, retros) and team delivery rhythm
  • Work closely with ML, data curation, and simulation teams to align indexing priorities with downstream workflows
  • Ensure the indexing system meets evolving performance, recall/precision, and observability needs at scale
  • Drive hiring, onboarding, and team structure planning to support 2026+ growth
  • Collaborate with platform and infra teams to ensure efficient data access, durability, and integration with pipeline backends

Skills

Indexing
Search Systems
Vector Search
Semantic Search
Metadata Search
Data Mining
Model Training
Infrastructure Scaling
Video Processing
Embodied AI

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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