Principal Systems Engineer, Validation at Wayve

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Driving, AI, AutomotiveIndustries

Requirements

Proven experience in validation or verification of complex systems, ideally in robotics, autonomy, or automotive domains
Strong systems engineering mindset: Able to decompose and assess full-system behaviour
Skilled at designing and analysing simulation-based and real-world validation scenarios
Excellent communicator with the ability to align diverse technical teams around a shared validation strategy
Evidence-based decision maker with strong analytical and documentation skills
(Desirable) Experience with machine learning validation, adaptive systems, or AI model performance evaluation
(Desirable) Familiarity with functional safety and SOTIF frameworks
(Desirable) Background in autonomous vehicles

Responsibilities

Define and deliver validation frameworks that assess driving safety, system performance, and robustness
Develop and manage test scenarios using real-world and simulated data to evaluate end-to-end system behaviour
Partner with Autonomy, Product, and Architecture teams to ensure validation aligns with functional requirements and deployment readiness
Lead technical deep-dives into system failures, identifying root causes and driving corrective actions
Contribute to and uphold industry standards in AI trust, safety, and validation (including SOTIF, ISO 21448, and emerging ML validation practices)
Mentor and guide engineers within the validation function, fostering cross-functional systems thinking

Skills

Key technologies and capabilities for this role

Systems EngineeringValidationAutonomy SystemsAI ModelsTest ScenariosSimulationHardware Integration

Questions & Answers

Common questions about this position

What is the salary range for this Principal Systems Engineer role?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this position?

The role requires systems engineering expertise in validation, experience designing system-level validation strategies, knowledge of industry standards like SOTIF and ISO 21448, ability to lead technical deep-dives into failures, and mentoring skills.

What is the company culture like at Wayve?

Wayve fosters a diverse, fair, respectful, and inclusive culture that values unique skills and perspectives, embraces uncertainty and complex challenges, aims high while staying humble, and backs team members to deliver impact in a fast-paced environment.

What makes a strong candidate for this role?

A strong candidate is a systems engineer with experience leading validation for autonomy systems, skilled in developing test scenarios, collaborating cross-functionally, analyzing failures, upholding safety standards like ISO 21448, and mentoring engineers.

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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