This role involves designing, building, and operating secure, scalable AWS platforms. You will work hands-on with multi-disciplinary teams, support application and platform workloads, and contribute to continuous improvement of cloud platforms and delivery pipelines.
This role involves developing and optimising compiler software for NVIDIA's CPUs, with a focus on performance improvements for AI and high-performance computing workloads. The engineer will work on hardware-software co-design, contribute to open-source compiler projects, and collaborate with distributed teams to enhance compiler toolchains targeting architectures like Arm, RISC-V, and x86_64. A strong background in compiler development, low-level performance analysis, and C++ is essential.
This role involves developing high-performance CPU compiler software for NVIDIA's next-generation computing platforms, with a focus on AI and HPC workloads. You'll work on hardware-software co-design, optimize compiler toolchains, and contribute to open-source projects like GCC and LLVM. Collaboration with global engineering teams and upstream communities is key to advancing compiler technology for NVIDIA's data center and supercomputing solutions.
The Design Manager will oversee the technical design and permitting of AI-optimized data centres across Europe, working closely with internal and external teams to ensure world-class standards, timely delivery, and adaptability to evolving AI compute needs. Key responsibilities include managing the full lifecycle of data centre design, coordinating with local authorities for permits, and ensuring high-quality, code-compliant deliverables.
This role involves developing Python-based automation and tooling, supporting critical production applications, and driving improvements in resilience, availability, and performance. You will work across application, infrastructure, and engineering teams to enhance the reliability and operational performance of business-critical platforms.
The Principal Solutions Architect role involves designing and delivering end-to-end GPU infrastructure solutions for AI workloads. You will work closely with customers and internal teams to translate complex requirements into scalable, high-performance designs, covering GPU compute, networking, storage, and orchestration. The role also includes performance testing, validation, and continuous improvement of AI infrastructure.
This role involves developing and maintaining backend services using Python and FastAPI, designing REST APIs, and contributing to frontend applications with TypeScript. You'll work closely with experienced engineers, data scientists, and subject-matter experts to build sophisticated software platforms and solve complex, real-world problems.
This role involves joining Nebius's talent pool for future AI and infrastructure engineering opportunities. You will work on complex challenges in AI research, machine learning, cloud infrastructure, and high-performance computing, contributing to the development of next-generation AI applications.
This role involves optimizing and troubleshooting GPU clusters and InfiniBand networks, integrating new hardware, and enhancing automation systems for proactive monitoring and fault resolution in a high-performance computing environment. You will work closely with system-level software, Linux, and virtualization technologies.
This role involves developing core modules within an engineering design platform and integrating them into a cloud compute environment. You will work on automating complex engineering processes and solving first-of-their-kind challenges in a fast-paced, innovative environment.
This role involves serving as the primary technical contact for customers using CoreWeave's AI-optimized cloud infrastructure, with a strong focus on networking within high-performance computing and Kubernetes environments. The engineer will lead proof-of-concept deployments, optimize customer workloads, and contribute to product development by providing field insights. It combines hands-on technical delivery with strategic input into networking architecture and performance optimization for AI workloads.
This role involves designing, developing, and maintaining scalable data pipelines using Python, Databricks, and PySpark. The Senior Data Engineer will work on complex data challenges, optimize data processing, and support enterprise data platforms in a modern cloud environment.
This role involves leading and managing a team of Solutions Architects across Europe, ensuring technical excellence in pre-sales cycles, and partnering with sales leadership to win new business. The Director will also provide hands-on support for key accounts, develop repeatable plays, and track team performance.
This role involves working on short to medium-term customer engagements to solve big data challenges using the Databricks platform. You'll design and implement data engineering and data science solutions, integrate with client systems, provide technical training, and act as an escalation point for complex issues. The position emphasizes hands-on implementation, customer collaboration, and feedback to product teams to improve platform capabilities.
The Cloud Engineering Manager leads a team of cloud engineers at Asda, focusing on building, operating, and evolving the company's Azure infrastructure. Responsibilities include technical direction, delivery management, and hands-on involvement in cloud engineering, with a focus on platform reliability, security, and operational efficiency.
Lead a small engineering team while remaining deeply involved in technical design and coding, focusing on building and improving a managed Postgres-based transactional layer integrated with the lakehouse. Work across distributed systems, reliability, and high-throughput data routing, with a strong emphasis on automation, observability, and operational excellence. Shape both product direction and team growth within a foundational new initiative at Databricks.
