Software Engineer - Robotics, App SW at Wayve

Japan

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Robotics, AIIndustries

Requirements

Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation and numerical methods
Practical experience in developing and tuning control systems for physical systems, both in simulation and in the real world
Experience productionising and scaling systems including real-time controllers and monitoring their performance at scale
Strong C++ and Python
Desirable
Experience with control, dynamics and modelling of road vehicles

Responsibilities

Integrate and validate Wayve’s AI software stack and MPC-based trajectory controller on customer hardware and vehicle platforms
Maintain and enhance the controller (coupled with ML-driven trajectory generation) to improve performance, stability, and reliability across different vehicles and environments
Establish and advance control and integration methods for ML-coupled systems, ensuring robustness and scalability across operational domains
Test and optimise system behaviour in challenging driving scenarios — from highways to urban settings and adverse weather conditions
Develop and refine simulation and evaluation pipelines to guarantee real-world optimality and control quality
Collaborate with cross-functional teams (Verification, Release, OEM partners) to diagnose and resolve integration and performance issues

Skills

Key technologies and capabilities for this role

Software EngineeringRoboticsMPCTrajectory ControllerAutonomous DrivingAIVehicle IntegrationValidationOptimisation

Questions & Answers

Common questions about this position

Is this role remote or does it require being based in Japan?

The role is based in Japan with the Application Software team focused on localising technology for the Japanese market.

What are the key responsibilities for this Software Engineer role?

Key responsibilities include integrating and validating Wayve’s AI software stack and MPC-based trajectory controller on customer hardware, maintaining and enhancing the controller, establishing control methods for ML-coupled systems, testing in challenging scenarios, and developing simulation pipelines.

What skills and experience are needed for this position?

The role requires expertise at the intersection of controls, systems integration, and applied machine learning, with experience integrating AI software stacks, MPC-based trajectory controllers, and working with robotics, ML, and vehicle engineering.

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 Software Engineer role?

Exceptional candidates will have strong skills in controls, systems integration, and applied machine learning, with the ability to integrate and optimize AI software and MPC controllers on vehicle platforms while thriving in a fast-paced, collaborative environment with robotics and vehicle experts.

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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