Future Tech Jobs
Future Tech Jobs
Design and optimize compiler technologies for NVIDIA's CPUs, focusing on performance improvements for AI and HPC workloads. Collaborate with distributed teams and open-source communities to advance hardware-software co-design. Work on cutting-edge compiler toolchains targeting next-generation compute architectures.
This role involves developing high-performance CPU compilers for NVIDIA's next-generation computing platforms, with a focus on AI and HPC workloads. You'll work on hardware-software co-design, optimise compiler toolchains, and contribute to open-source projects like LLVM and GCC. Collaboration with distributed teams and upstream communities is central to improving performance across NVIDIA's data centre and supercomputing technologies.
A Staff Controls Software Engineer will lead the development and industrialization of real-time control systems for humanoid robots, translating research prototypes into robust, production-grade software. The role involves designing modular control architectures, implementing safety-critical mechanisms, and ensuring deterministic performance across locomotion and manipulation systems. The engineer will also mentor teams, drive testing and release practices, and shape the long-term control software roadmap in a high-performance robotics environment.
Lead cybersecurity assurance for humanoid robots across industrial and home platforms, defining security strategy from concept to post-market deployment. Drive threat modelling, risk assessments, and compliance with EU Machinery Regulation and IEC 62443. Establish PSIR processes and guide cross-functional teams on securing AI-driven robotic systems with a focus on safety-critical cyber-physical resilience.
This role involves end-to-end ownership of specific ADAS features such as Traffic Light Recognition, Blind Spot Monitoring, and Cross Traffic Alert, ensuring they meet OEM requirements and are delivered to specification. The Feature Owner will work closely with engineering, product, and external partners to define scope, set performance targets, and validate functionality. Emphasis is placed on technical engagement, cross-functional coordination, and aligning customer needs with Wayve’s strategic roadmap in a fast-paced, innovation-driven environment.
This role involves defining and maturing the automotive product security framework for Wayve’s AI-driven vehicle systems, ensuring compliance with standards like ISO 21434 and UNECE R155. The lead will guide engineering teams on cybersecurity practices, assess cybersecurity cases, and ensure robust security assurance across R&D, robotaxi, and OEM software programmes. It is a hands-on, advisory role focused on enabling secure development without friction in a fast-paced, innovative environment.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance and integration with networking hardware. Collaborate with cross-functional teams to co-design communication strategies aligned with GPU execution patterns and emerging AI model architectures. Develop GPU-resident primitives and programming models that enable efficient, fine-grained data movement across accelerators and nodes.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance and integration with networking hardware. Collaborate across teams to co-develop GPU-aware communication strategies and programming models. Profile and tune end-to-end kernel performance across compute, memory, and network layers.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance tuning and co-design with hardware and networking teams. Develop GPU-resident primitives and device-side APIs to enable efficient, fine-grained data movement across accelerators and nodes. Collaborate across disciplines to shape programming models and communication strategies aligned with emerging AI architectures.
Design and optimize GPU communication kernels for large-scale AI systems, focusing on low-level performance and integration with networking hardware. Work closely with hardware and AI framework teams to co-design communication strategies that align with GPU execution patterns. Develop GPU-resident primitives and device-side APIs to enable fine-grained, kernel-initiated data movement across accelerators.
This role involves hands-on assembly, testing, and maintenance of advanced humanoid robots, working from component-level builds to full system integration. The technician will diagnose and repair electro-mechanical systems, configure sensors and actuators, and collaborate closely with engineering teams in a fast-paced R&D environment. Emphasis is placed on precision, build quality, and rapid iteration using CAD, command-line tools, and Git-based workflows.
Lead the development of a Fleet Management System for humanoid robots, defining capabilities across robot onboarding, task execution, fault handling, and AI-driven workflows. Partner with engineering to deliver scalable solutions for multi-robot, multi-site operations. Shape product direction from concept to rollout, using customer and operational insights to drive prioritization and success metrics.
Lead the development and scaling of vision-language-action (VLA) foundation models for humanoid and wheeled robots using multimodal data from real-world trajectories, teleoperation, and synthetic sources. Define base model architecture, data strategies, and evaluation frameworks that enable downstream fine-tuning for robot capabilities. Work closely with MLOps, data, and reinforcement learning teams to build continuous pretraining pipelines and optimize for real-time inference on edge devices.
The Laboratory Operations Manager will oversee the safe and efficient operation of technical spaces including labs, workshops, and prototype manufacturing environments. This role ensures compliance, equipment readiness, and operational support for engineering and product teams, while driving safety, 5S, and continuous improvement initiatives. The position plays a key role in enabling rapid development of humanoid robotics through structured facility management and cross-functional collaboration.
This role involves performing complex repairs, overhauls, and forensic analysis on humanoid robots, both in-house and on-site. The technician will lead troubleshooting for unresolved faults, author repair procedures, and mentor junior staff. It combines deep technical repair work with process improvement and customer-facing intervention.
