Latest Hardware Acceleration Jobs

Principal Solutions Engineer - Aerospace & Defense

Lead business development and technical delivery for AI-driven simulation solutions in aerospace and defense, engaging senior engineering leaders to identify opportunities, shape go-to-market strategy, and drive customer adoption. Own end-to-end customer outcomes, from proposal scoping to project execution, while feeding product insights back to the engineering team. Maintain a visible presence in the A&D community through events and strategic account management.

PhysicsX England US$175,000 – US$250,000 pa

Forward Deployed Software Engineer

Design and build end-to-end applications that integrate AI-driven physics models into real-world engineering workflows. Collaborate with customers and technical teams to prototype, deploy, and iterate tools that solve complex engineering challenges across industries like aerospace, energy, and semiconductors. Work across the full stack with a focus on backend services, cloud infrastructure, and customer-driven product development.

PhysicsX North Tyneside, NE29 8EP, United Kingdom US$150,000 – US$250,000 pa

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Senior Machine Learning Engineer - AV Core

As a Senior Machine Learning Engineer, you will lead the development of large-scale data curation and mining techniques, focusing on rare events and model introspection for robust driverless operation. You will collaborate with research, simulation, and engineering teams to enhance the safety and performance of Wayve's autonomous driving systems.

Wayve London, United Kingdom

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Staff ML Engineer Gaia

As a Staff ML Engineer on Gaia, you will lead and execute large-scale training runs for video foundation models, contribute to model architecture and training strategies, and improve world-model capabilities for synthetic scenario generation. You will work closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact in a fast-paced, results-focused environment.

Wayve London, United Kingdom

Senior CPU Compiler Performance Engineer

Design and optimize compiler technologies for NVIDIA's CPUs, focusing on hardware-software co-design to enhance performance for AI and high-performance computing workloads. Collaborate with distributed teams and open-source communities to develop next-generation compiler toolchains. Analyze real-world AI and HPC applications to drive improvements in both hardware and software stacks.

NVIDIA Cambridge, United Kingdom

Senior CPU Compiler Performance Engineer

Develop high-performance CPU compilers for NVIDIA's next-generation data center technologies, focusing on hardware-software co-design and optimisation for AI and HPC workloads. Collaborate with global teams and open-source communities to advance compiler toolchains and improve system-level performance. Work closely with pre-silicon teams to influence architecture and deliver cutting-edge compute solutions.

NVIDIA

Forward Deployed Engineer - London (Spanish-speaking)

This role involves leading end-to-end technical deployments of cutting-edge AI models for strategic customers, from prototyping to production. The engineer will build full-stack systems, deeply integrate with customer teams, and translate field feedback into product and model improvements. Success is measured by real-world adoption and measurable impact on customer workflows.

OpenAI London, United Kingdom

Permanent

Researcher, Training - London

This role involves advancing large language model (LLM) development through research and experimentation, focusing on architecture design, optimization, and scaling. The researcher will work on improving model intelligence and efficiency, contributing to both training infrastructure and inference systems. Based in London with a hybrid work model, the position emphasizes hands-on empirical work and collaboration within a cutting-edge AI research environment.

OpenAI London, United Kingdom

Hybrid Permanent

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Staff ML Performance Engineer (Compiler)

This role focuses on optimizing machine learning inference performance for edge accelerators and GPUs, particularly for running large transformer models efficiently on low-power in-vehicle systems. The engineer will work across compilers, runtimes, and kernels to deliver measurable improvements in latency, memory, and power, while collaborating closely with model developers and contributing to early-stage, high-impact projects. The position involves deep technical work on multiple hardware platforms and shaping performance engineering standards across the team.

Wayve London, United Kingdom

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Engineering Manager, Runtime Platform, Robot Software

Lead and grow a new engineering team building the runtime foundations for an AI-driven vehicle system, including real-time middleware, performance optimization, and observability. Guide technical direction for low-latency embedded software while fostering team development and cross-team collaboration. The role is central to enabling scalable, high-performance AI deployment across diverse vehicle platforms.

Wayve London, United Kingdom

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Technical Lead Manager, Synthetic Data

Lead a team of machine learning engineers to develop and scale synthetic data generation using generative world models like GAIA for autonomous driving research. Focus on rig and pose transfer, scalable generation infrastructure, and integrating synthetic data into training pipelines to reduce reliance on real-world data collection. Work closely with researchers and engineers to validate impact on driving model performance.

Wayve London, United Kingdom

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Feature Owner, ADAS

This role involves end-to-end ownership of Advanced Driver Assistance Systems (ADAS) features such as Traffic Light Recognition, Blind Spot Monitoring, and Pre-Safe systems. The Feature Owner collaborates with OEMs, engineering, and product teams to define specifications, ensure compliance with automotive standards, and deliver features from concept to production. The position requires deep technical understanding, strong customer advocacy, and alignment of client needs with Wayve’s strategic roadmap.

Wayve United Kingdom

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Feature Owner, ADAS

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 collaborates 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 requires a strong technical understanding of ADAS systems and a hands-on approach to feature development within an agile, innovation-driven environment.

Wayve Alba / Scotland

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Senior SRE, AI Infrastructure

This role involves building and scaling the reliability foundations of Wayve's AI cloud platform, including the Model Development and GPU Compute platforms. The engineer will define SRE frameworks, automation, and operational standards for large-scale, distributed systems supporting AI training and inference. Key responsibilities include incident response, observability, capacity planning, and improving deployment safety across cloud infrastructure.

Wayve London, United Kingdom

On-site Permanent

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Strategic Partnership Manager

This role involves managing and scaling commercial partnerships for Wayve’s robotaxi deployments in London or Tokyo, working closely with ride-hailing platforms, OEMs, and internal teams. The individual will drive end-to-end launch readiness, technical integration, and operational scaling while navigating complex, regulated environments. Success requires aligning cross-functional teams around shared goals in a fast-paced, innovative setting.

Wayve London, United Kingdom

On-site Permanent