Search the 25 jobs at Wayve

As a Software Engineer Tech Lead at Wayve, you will lead the technical direction for the simulation platform, ensuring high-fidelity and scalable simulations. You’ll collaborate with various teams to integrate subsystems and own key performance metrics related to simulator realism and reproducibility, leveraging your expertise in simulation and machine learning.

The Site Reliability Engineer at Wayve will enhance operational excellence for autonomous vehicles, innovate automation tools, and develop metrics and monitoring systems. This role focuses on ensuring robust performance and reliability in urban mobility solutions through advanced software and hardware integration.

The Solution Architect at Wayve will define and manage the technical architecture of autonomous driving products, ensuring integration with vehicle systems. Responsibilities include collaborating on product specifications, negotiating with automotive OEMs, working with software architects and validation engineers, maintaining documentation, and keeping abreast of industry trends.

As the Software Tech Lead in the Scenario Technology team, you will build scalable infrastructure, develop backend tools, and optimize data pipelines for validating self-driving models. You will design cloud-based solutions, implement CI/CD pipelines, and collaborate with cross-functional teams to enhance scenario coverage operations while managing databases and streamlining workflows.

As a System Test Engineer at Wayve, you will design, execute, and lead verification tests for AI systems at various levels. Responsibilities include uncovering software and hardware bugs, defining Hardware in the Loop (HiL) test stations, and conducting root cause analysis of issues found during tests.

The Global Supply Chain Manager will work with engineers to scale early-stage product development and build supplier relationships across various industries. Key responsibilities include managing costs of products, establishing agile supply chains, and driving decision-making to improve manufacturing processes.

As an OEM Pre-Sales Engineer at Wayve, you will engage with automotive OEMs and key stakeholders, promote advanced ADAS technology solutions, collaborate on business development strategies, conduct market analyses, and coordinate with engineering teams to influence product roadmaps.

As a People Operations Associate at Wayve, you will be responsible for managing employee experiences from onboarding to offboarding, handling inquiries, benefits administration, and continuous improvement of HR processes. This role requires strong communication, organizational skills, and a commitment to fostering a positive work environment.

This role involves conducting research in AI applied to autonomous driving, focusing on reinforcement learning and model-based algorithms. Responsibilities include developing advanced models and learning algorithms, leveraging real-world driving data, and contributing to academic publications. You'll be part of a team that works on complex challenges in perception, prediction, planning, and control for vehicle navigation.

Lead the development and engagement with technical partners, ensure partnership support for Embodied AI development, track technical trends, educate internal teams on tech partners, maintain seamless partner communications, evolve partnership learnings to match strategic needs.

As a Tech Lead, you will develop and maintain the testing infrastructure for embedded applications in autonomous vehicles, lead automation efforts for hardware-in-the-loop testing, create sensor emulation frameworks, advocate for testing best practices, and mentor a team of engineers.

As a Product Feature Owner, you will manage ADAS functionalities from conception to delivery, ensuring they meet customer requirements and internal standards. Your responsibilities include collaborating with teams, advocating for customers, and overseeing feature lifecycle while mitigating risks and aligning with strategic goals.

As a Product Feature Owner at Wayve, you will oversee the end-to-end development of specific ADAS functionalities, ensuring they meet OEM requirements and are delivered on time. You will collaborate with product and engineering teams, advocate for customer needs, and align strategic goals while addressing risks during the development process.

The Lead Solution Architect will shape the integration of autonomous driving technology with automotive OEMs by defining technical architecture, collaborating with product management, negotiating integration boundaries, leading a new department, and staying updated with industry trends.

As a Staff Applied Scientist, you will lead AI-driven projects in autonomous driving, focusing on areas like reinforcement learning, large language models, and model-based planning. You will tackle complex problems in perception, prediction, and control while collaborating with global teams and contributing to research publications.

Wayve is seeking a Research Manager to lead and scale a Science team in Vancouver, collaborating with other global teams. Responsibilities include developing career plans, ensuring project success, resourcing projects effectively, offering coaching and mentorship, driving technical progress, and fostering a culture of collaboration and innovation.

As an Applied Scientist, you will conduct research in AI for autonomous driving, specifically in areas like reinforcement learning, planning, and model predictive control. Your responsibilities include leveraging real-world driving data, architecting models using state-of-the-art techniques, and collaborating with teams to integrate findings into scalable solutions. You may also contribute to academic publications.

The Product Marketing Manager at Wayve will lead the strategic positioning and marketing of their Embodied AI software products for automotive OEMs. The role involves developing and executing global marketing strategies, creating compelling narratives for product differentiation, and analyzing market trends to inform strategies and campaigns.

The Senior Applied Scientist will design and optimize ultra-efficient foundation models for autonomous systems, focusing on TinyML. Responsibilities include developing reinforcement learning techniques, collaborating with researchers and engineers, and enhancing the adaptability and reliability of autonomous vehicles.

The Tech Lead Manager will manage a small team, contributing to the development of machine learning solutions for autonomous vehicles. Responsibilities include building, integrating, and testing algorithms and tools, with a focus on 3D computer vision and ensuring team-driven project lifecycles are completed successfully.