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The Project Manager leads end‑to‑end AI delivery projects, translating customer requirements into technical plans, managing timelines, budget and quality, and coordinating between Customer Success, engineers and other stakeholders, using Scrum/Kanban, Jira, Confluence and AI tools such as ChatGPT.
Full Stack Engineer building features across a modern stack — React frontend, Python/PHP/Flask/FastAPI backend, and AWS (with Bedrock) — for a fast-growing AI company. Hybrid role with 2-3 days onsite in Bracknell/London, collaborating with the founding team on the platform, mobile app, and client-facing websites.
Software Engineer on the core team at Majestic Labs, an AI startup building custom AI servers for large-scale inference and training. Day to day you develop API layers, command submission pipelines, and memory management in the software stack, collaborating with hardware architects and kernel driver developers. Core tech: C on Linux, GPU programming, with Python/C++ a plus.
A 6-month internship or 1-year apprenticeship at a Paris defense startup, where the intern builds and automates infrastructure across cloud, bare metal and IoT using Terraform, Ansible and Kubernetes, maintains GitHub Actions CI/CD pipelines, and runs R&D proofs of concept for deploying cloud-native tech on tactical platforms.
Product Manager at Caruso, an AI-native fund administration platform for private markets, based in Auckland. Day to day you define and scope product work, write specs, build prototypes with AI tools like Claude Code, and stay hands-on with engineers and enterprise clients to ship features.
Lead the design, development and validation of low-voltage battery packs for TYTAN's autonomous air-defense systems — covering pack architecture, mechanical integration, thermal management, cell selection and electrochemical testing, through to prototyping and safety compliance. Works with CAD, Python/MATLAB, cell cyclers, EIS and lithium-ion standards like UN 38.3.
Develop low‑level electronics and embedded systems for autonomous driving compute platforms, designing board‑level hardware, high‑speed interfaces (PCIe, Ethernet, USB), and collaborating with software and systems teams to bring up and validate mission‑critical hardware.
Lead a new Application Engineering team to develop and deploy autonomous driving features for the US market, overseeing robotics, machine learning, and systems integration while hiring, mentoring, and collaborating with OEM partners.
Lead the design, architecture, and reliability of Wayve's robot software stack for autonomous vehicles, defining technical roadmaps, mentoring engineers, and collaborating across hardware, simulation, and data teams using C++, Python, ROS2 and real‑time systems.
The Senior Data Scientist partners with AI engineering teams to build large datasets, design experiments, and generate statistical insights that guide the development, safety, and performance of Wayve’s autonomous‑driving AI, using production‑level SQL and Python/R data‑science tools.
Senior Software Engineer on Wayve’s Simulation Technology team, building and scaling the core simulation platform for autonomous driving using Python, Kubernetes, and workflow orchestration tools, focusing on robot emulator fidelity, visual fidelity, and performance.
The Solutions Architect will define and manage the integration of Wayve's autonomous driving AI software with automotive OEM and Tier‑1 vehicle platforms, creating interface specifications, ownership boundaries, and validation plans while collaborating across product, hardware, and safety teams.
The Staff Data Scientist partners with AI engineering teams to analyze large driving datasets, design experiments, and create performance metrics that guide improvements to Wayve’s autonomous‑driving AI, using production‑level SQL and Python/R statistical tools.
Analyzes operational design domains (ODDs) and traffic behaviors to define data needs for autonomous driving AI models, ensuring high reliability and cross-region generalization. Uses Python, SQL, and GIS to assess ODD boundaries, behavioral competencies, and MTBF performance gaps.
The Systems Engineer, AI Validation creates and runs validation strategies for Wayve’s AI Driver, designing metrics, building test suites, and analyzing results across simulation and real‑world driving, primarily using Python.
The Technical Product Manager will define, develop, and deliver Wayve’s Level‑4 autonomous driving solutions, collaborating with R&D, safety, validation, and commercial teams to turn embodied AI and end‑to‑end learning into market‑ready features. Core technologies include AI/ML, robotics, and autonomous vehicle software.
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,
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