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Develop embedded C++ software, SDKs, APIs and hardware abstraction layers for autonomous vehicle platforms, working across Linux and QNX systems, integrating perception and control functions, and collaborating with hardware partners.
The Staff Machine Learning Engineer builds and fine‑tunes computer‑vision and scene‑understanding models for offline performance measurement of autonomous vehicles, leveraging Python, PyTorch, transformer‑based vision models and large foundation models, and benchmarks their accuracy across platforms and conditions.
The Senior Site Reliability Engineer will ensure reliability, observability, and safety of Wayve's autonomous vehicle software fleet, handling on‑call support, building monitoring and automation, and driving incident response using Linux, Kubernetes, Docker, Python/C++/Rust, and tools like Prometheus and Datadog.
Train, debug, and ship computer vision and 3D perception models powering Wayve's ADAS driver-assistance products, working across the full ML lifecycle — building scalable data pipelines (incl. auto-labelling), training, evaluating, and iterating on detection, segmentation, and tracking. Involves both on-car latency-constrained models and offline large-scale data generation using CV/deep learning,
The Staff Security Engineer at Wayve will lead the security framework for the internal SPINE platform, developing and automating endpoint and identity security controls using scripting, IaC, and Linux, while collaborating with the central security team to enforce policies and mentor engineers.
Lead Technical Program Manager for Data at Wayve builds and leads a TPM team to deliver data platform, pipelines, enrichment, labeling, and dataset management for autonomous vehicle AI, partnering with engineering and focusing on data quality, throughput, cost, and time‑to‑insight using tools like Databricks, Kubernetes, and AI agents.
The Technical Program Manager leads cross‑team delivery of simulation, evaluation and validation platforms for Wayve’s AI driver, coordinating roadmaps, risk, and release‑gating while driving metrics‑focused outcomes.
The Sensing Systems Engineer at Wayve owns the vehicle sensor stack, defining performance requirements, building validation frameworks, and coordinating integration across hardware, software, and ML teams to ensure reliable autonomous driving data.
The Customer Integration Engineer provides hands‑on technical support to automotive customers, bridging their vehicle integration teams with Wayve’s internal engineers, troubleshooting AI driver issues using diagnostic tools, CAN/Ethernet protocols, and basic programming.
The Security Assurance Manager will design, implement and operate Wayve’s security assurance program, creating risk‑based methodologies, testing and automating control validation to support standards such as TISAX and ISO 21434, while collaborating with engineering teams in a cloud‑native, AI‑driven autonomous‑vehicle environment.
Develops 3D foundation models and world models for autonomous driving systems, focusing on geometric vision, multi-view geometry, and sensor fusion (LiDAR, radar, camera) to enable vehicles to perceive and navigate complex environments.
Builds and maintains fleet management platform for Wayve’s autonomous vehicles, enabling real-time software deployment, vehicle monitoring, and integration with dispatch services. Core tech: full-stack (React/TypeScript frontend, Rust/Go/Node.js backend), distributed systems, Kubernetes, Azure, and observability tools.
Leads a data science team to analyze real/simulated driving data, drive engineering progress, and scale operations for Wayve’s AI-powered autonomous vehicle tech.
Design and define L2/L3 automotive-grade systems for Wayve’s AI-driven autonomous driving platform, handling requirements, data‑driven development, integration, testing, and cross‑team collaboration using sensor processing, neural networks, and vehicle control software.
Develops and executes automated tests for embedded software in autonomous vehicles, ensuring reliability and integration across OS, middleware, and sensors before real-world deployment. Focuses on hardware-in-the-loop validation and CI pipeline contributions.
Own the Israel site's network and infrastructure operations—designing and maintaining wired/wireless networks, VPNs, VLANs, and firewalls—while collaborating with global teams and using IaC tools like Terraform and Ansible to support AI-driven autonomous vehicle development.
Product Designer shaping digital in-vehicle experiences for Wayve's autonomous vehicle fleet, including operator tools and guest-facing interfaces for ADAS technology.
Software Engineer on Wayve's AI Libraries team building Python libraries, tools, and platforms that enable ML engineers to train, evaluate, and scale autonomous driving models across large GPU clusters.
SRE for autonomous vehicle software, building observability, incident management, and automation tooling using Python, C++, or Rust with hands-on Linux systems debugging to improve vehicle reliability in production.
Senior ML Engineer building and operating large‑scale search and indexing systems for Wayve’s multimodal video data, developing vector‑based retrieval, APIs, and evaluation pipelines using Python and tools like FAISS/LanceDB.
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