Operational Safety Manager, Japan at Wayve

Japan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, AI, Autonomous VehiclesIndustries

Requirements

Essential
5+ years experience of investigating incidents in a fast-paced environment
Fluency in Japanese and English
Relevant commercial experience in identifying, monitoring, evaluating, and delivering operational safety
Demonstrable ability to innovate and problem-solve independently
Good understanding of industry-relevant standards and guidelines
Experience in human factors with regards to task overload, attention deficit tiredness, and risks inherent to vehicle’s driver interfaces
Ability to create and implement new policies and procedures to maintain the safety of our operations
Desirable
Proven experience in developing safety frameworks for ADAS or autonomous systems
Good understanding of vehicle electronics, functions, and their safety implications
Knowledge of Japanese road laws and safety regulations for fleet and test operations

Responsibilities

Safety Risk Management – Monitor daily safety data, assess emerging risks, and implement proactive mitigation strategies
Incident Investigation & Resolution – Lead investigations into safety events, determine root causes, and drive corrective actions
Audits & Compliance – Conduct safety audits, ensure adherence to Japan safety regulations, and continuously refine policies
Cross-Team Collaboration – Work closely with engineers, operators, and global safety teams to align on best practices
Safety Culture & Training – Develop training programs, update risk assessments, and drive a strong safety-first mindset across operations

Skills

Safety Management

Risk Mitigation

Incident Management

Regulatory Compliance

Safety Culture

Operational Safety

Autonomous Driving Safety

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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