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.
This role focuses on ensuring the electrical and electronic systems of humanoid robots are designed for ease of maintenance, repair, and field serviceability. The engineer will define electrical service procedures, diagnostic methods, and safe isolation practices across power systems, wiring, sensors, and compute hardware. They will work closely with R&D and services teams to embed serviceability into the product from design through to production.
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.
This role involves end-to-end ownership of advanced driver assistance systems (ADAS) features such as Automatic Emergency Braking and Lane Keeping Assist, ensuring they meet OEM requirements and are delivered to specification. The Feature Owner will collaborate closely with engineering and product teams to define scope, set performance targets, and support validation, while acting as the primary liaison between customers and internal stakeholders. The position emphasizes technical engagement, cross-functional coordination, and strategic roadmap alignment within a fast-paced, innovation-driven environment.
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.
Lead end-to-end technical recruitment for highly specialized roles in humanoid robotics, AI, and hardware engineering, embedded within engineering teams to deeply understand technical needs. Build pipelines in niche domains like controls, perception, deep learning, and embedded systems, using AI-driven tools and creative sourcing to attract top-tier talent in a competitive deep-tech market. Mentor recruiters, optimize hiring processes, and deliver data-backed insights to scale a high-performance talent function.
This role involves building and testing complex electro-mechanical systems for humanoid robots, working from CAD models and technical drawings to assemble, wire, and test components. The technician will collaborate closely with engineering and manufacturing teams in a fast-paced R&D environment, ensuring build accuracy and quality. Responsibilities include harness routing, torque-controlled assembly, labelling, and detailed test documentation using jigs and electrical equipment.
Lead end-to-end engineering delivery for industrial humanoid robots, driving prioritization across hardware, software, and AI teams in a matrixed organization. Own the roadmap and execution from design through field iteration, ensuring rapid, reliable deployment into customer environments. Act as technical GM, aligning engineering with commercial and product goals to scale production and meet strict SLAs.
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.
