Full-Time
Engineering Manager
Robot Software, Inference and Accelerators
Posted on 5/30/2025
Wayve
501-1,000 employees
Embodied AI autonomous driving software.
No salary listed
Sunnyvale, CA, USA
Hybrid
 Engineering Management (1) |
|---|
- Linux C++/Rust application development
- Experience with data serialization and IPC/RPC frameworks on Linux
- Proven leadership and management experience in a software development team, preferably working with complex and/or embedded systems
- Strong hands-on development experience in a high performance programming language such as C++ or Rust
- Demonstrated ability to build, manage and grow high-performing teams, owning the recruitment process and supporting career development
- Excellent communication skills and a track record of effective collaboration across teams and functions
- Strategic acumen and the ability to distill company objectives and customer requirements into a vision and technical roadmap for your team’s internal product
- A degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience
- Own software layers which interface with inference and IPC systems
- Develop novel abstraction and data movement frameworks to enable dynamically configured AI inference
- Create and deliver software which enables new inference hardware types to be added to our portfolio of capabilities
- Lead a high performing team of software engineers, providing technical direction and working with the technical lead to break down organizational goals into clear objectives and milestones
- Own the technical roadmap for your team, working with internal stakeholders, customers and other engineering teams to align on priorities and delivery timelines
- Empower your team to operate autonomously, ensuring they have the resources, skills and information they need in order to succeed
- Guide your team to develop fault-tolerant software solutions with comprehensive diagnostic tools, to enable any operational issues affecting our internal fleet to be rapidly identified, addressed and diagnosed
- Communicate with leadership and other stakeholders to manage expectations, remove roadblocks and overcome any issues affecting the delivery or team
- Support the development of your team members through guidance, mentorship and the ongoing provision of high quality feedback
- Experience coordinating host-to-accelerator and accelerator-to-host workflows
- Experience with PCIe, RDMA, NVLink, or other high-speed interconnects
- Familiarity with DMA engines, memory-mapped I/O, and zero-copy data transfer techniques
- Creation and use of software that executes common datasets across multiple ML runtimes, hardware platforms, or models
- Experience working with real-time systems and edge computing
- Experience with robotics, autonomous systems, or other real-world sensing applications
- Familiarity with middleware frameworks (e.g., DDS, ROS 2, custom telemetry systems)
- Experience in developing automotive software, knowledge of DriveOS
Wayve.ai builds autonomous driving technology, focusing on AV2.0. Its main offering is embodied AI software that lets vehicles learn from experience and adapt to new environments using end-to-end deep learning, without relying on explicit programming, HD maps, or complex robotic stacks. The product works by training a neural system that drives from sensor inputs to control outputs, enabling driving behavior to improve through real-world data and interactions instead of hand-engineered rules. Compared with traditional self-driving stacks that depend on heavy mappings and modular software, Wayve.ai aims to be lean and scalable, reducing cost and enabling faster deployment for automakers and fleet operators. Its goal is to enable safer, more sustainable mobility and to bring driving automation to scale through commercially viable partnerships with automotive manufacturers and delivery fleets.
Company Size
501-1,000
Company Stage
Series D
Total Funding
$2.6B
Headquarters
London, United Kingdom
Founded
2017
Simplify's Take
What believers are saying
- AMD, Arm, Qualcomm invested $60M in April 2026 for silicon integration.
- Nissan targets AI in 90% vehicles; Tokyo robotaxi pilot late 2026.
- London trials and multi-city data flywheel enhance AI performance.
What critics are saying
- Waymo expands to London, capturing UK market share this year.
- Baidu undercuts Tokyo pilot with cheaper manufacturing in 2026.
- Nissan cuts models and workforce, delaying robotaxi by late 2026.
What makes Wayve unique
- Wayve uses end-to-end deep learning for mapless autonomous driving.
- Embodied AI adapts to any vehicle without HD maps or lidar.
- Vision-based system learns from camera data across environments.
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Benefits
Hybrid Work Options
Growth & Insights and Company News
6 month growth
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↑ 3%The Institute for Driverless Transport event debates Britain's AV rollout. Engineers, lobbyists, taxi company representatives and experts converged on 1 Triton Square, London for Preparing for Driverless Cars: Exploring the Consequences for the UK - an event held in partnership with The Institute for Driverless Transport (IfDT). 2026 is set to be a year of sweeping changes as the UK as early implementation of sections the 2024 Autonomous Vehicle Act come into force, allowing AV pilots on Britain's roads for the first time. Waymo, Lyft and Uber (in partnership with Wayve and Baidu) have announced their intention to launch services this year. Round tables covered the opportunities and challenges of Geopolitics and Security, Productivity, Social Change, and Job Displacement. Quality of discussion was high, with lively critical debate across key topics, including remote control/access of AVs, implications for the insurance sector, the increased charging demands of electric AVs operating around the clock, and whether they will ultimately replace human operators entirely or simply carve out a complementary role alongside today's drivers. Christopher Court-Dobson
Wayve, the UK autonomous vehicle startup, has begun robotaxi trials in London following its $1.5 billion funding round earlier this year. The company is demonstrating its Level 3 autonomous technology to position itself as a contender in the capital's emerging robotaxi market. The startup recently provided test drives of its autonomous vehicles, showcasing its real-time capabilities to observers. Wayve's trials represent a significant step in bringing commercial autonomous taxi services to London's streets.
Wayve, Nissan unveil robotaxi ahead of Tokyo pilot. By Teresa De Alba | Jr Journalist & Industry Analyst - Fri, 03/20/2026 - 10:59 Wayve and Nissan will present a robotaxi prototype at NVIDIA GTC 2026, built on the NVIDIA DRIVE Hyperion architecture, marking a key milestone ahead of a planned pilot deployment with Uber in Tokyo starting in late 2026, subject to regulatory approvals. The companies said the prototype will serve as the baseline vehicle for the pilot program, part of a broader strategy to scale autonomous mobility services globally. The vehicle is based on the all-electric Nissan LEAF and integrates Nissan's vehicle engineering with Wayve's embodied artificial intelligence and NVIDIA's DRIVE Hyperion platform. Nissan said it is "developing a vehicle with fully redundant systems designed for robotaxi applications," targeting high levels of operational reliability and compliance with stringent autonomous safety standards. The system is engineered for Level 4 autonomy and utilizes dual NVIDIA DRIVE AGX Thor processors to enable real-time execution of advanced AI models. The platform runs on NVIDIA DriveOS and is supported by NVIDIA Halos, described as a comprehensive framework for functional safety and cybersecurity. According to the companies, the combined compute and sensor architecture is designed to meet the performance, redundancy and safety requirements necessary for autonomous driving in complex urban environments. The prototype incorporates a multi-layered sensor suite designed to ensure redundancy and full environmental awareness. It includes high-resolution cameras with 360-degree coverage, high-performance surround and forward imaging radar, and a forward-facing LiDAR system. The companies said this configuration provides complementary sensing modalities, enabling the AI system to interpret complex traffic scenarios and make driving decisions in real time. The platform also supports long-range sensing capabilities for data collection, validation and broader development use cases. Nissan indicated that further refinements are planned to prepare the vehicle for commercial robotaxi deployment. These include the integration of "intuitive in-cabin displays and communication systems" to enhance the passenger experience, signaling a parallel focus on user interface design alongside core autonomy functions. Wayve's AI Driver is based on an end-to-end embodied AI approach that processes sensor data directly into driving actions. The company emphasized that the system does not rely on high-definition maps, instead learning from real-world driving conditions to "understand complex traffic environments and make safe driving decisions in real time." The AI is designed to anticipate how traffic situations evolve and predict the downstream impact of its actions on other road users. The Tokyo pilot represents an initial deployment phase. Wayve and Uber said they plan to expand robotaxi trials to "more than 10 cities globally," with vehicles introduced progressively as validation milestones are achieved. The long-term objective is to transition from pilot programs with safety operators to fully scalable, commercially viable robotaxi services. Separately, Zoox and Uber announced a multiyear agreement to integrate Zoox robotaxis into the Uber app, marking the first time Zoox will offer rides through a third-party platform. The companies said Zoox vehicles will begin serving riders in Las Vegas this summer, with expansion planned to Los Angeles by mid-2027. In parallel, Uber Technologies said it will invest more than US$100 million to develop fast-charging hubs for autonomous vehicles in the United States.
Uber, Wayve and Nissan plan to launch a robotaxi service in Tokyo this year. Mar 12, 2026 - 08:00 Nissan will integrate Wayve's self-driving software into the Leaf with the goal of making the vehicles available on the Uber app in Tokyo.
Qualcomm and British self-driving startup Wayve have partnered to create an integrated AI system combining Wayve's "AI Driver" software with Qualcomm's Snapdragon Ride automotive chips. The platform aims to help carmakers rapidly deploy advanced driver-assistance and automated driving features across vehicle ranges. The system is designed to reduce complexity by integrating chips, safety systems and AI software from multiple suppliers, supporting features from hands-off assistance to advanced automated driving. It will scale across vehicle tiers and geographic markets, allowing manufacturers to standardise underlying technology. Founded in 2017, Wayve uses real-world driving data to train its AI model. The company raised $1.2 billion last month at an $8.6 billion valuation from investors including Mercedes-Benz, Nvidia, Nissan and Uber.