Future Tech Jobs
Future Tech Jobs
We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/....
We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/....
This role involves advancing AI research at the intersection of visual generative modeling, multimodal learning, and hardware-aware machine learning. You will explore new model architectures, training methods, and deployment strategies, with applications in embodied AI, robotics, and autonomous systems. The position requires a strong background in AI, deep learning, and programming, with a focus on publishing and collaborating across teams.
As a Research Scientist at Graphcore, you will focus on advancing AI research in visual generative modeling, multimodal learning, and world models. You will collaborate with a team of experts to develop new model architectures, training methods, and deployment strategies, with applications in embodied AI, robotics, and autonomous systems. Your work will influence the future of AI hardware and software systems, and you will have the opportunity to publish your findings at leading AI conferences.
The Electronic Reliability Engineer will support the development and manufacturing of safety-critical electronic systems, performing reliability analysis, fault assessments, and peer reviews of electronic designs. The role involves working closely with key stakeholders to ensure compliance with industry standards and best practices.
Be visionaryTeledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil...
We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIA's CPUs designed for the world's largest AI and computing markets: https://www.nvidia.com/en-in/data-center/grace-cpu/....
As a Senior HPC Performance Engineer, you will conduct in-depth performance analysis on large multi-GPU and multi-node clusters, study the interaction of NVIDIA's libraries with hardware and software components, and collaborate with a dynamic team across multiple time zones. You will also triage performance issues, build tools for data visualization, and evaluate proof-of-concepts.
This role involves designing and optimizing compiler technology for NVIDIA's Grace CPUs, focusing on performance-critical AI and HPC workloads. You'll contribute to the upstream GNU Toolchain, collaborate with open-source communities, and influence next-generation CPU microarchitecture. The position requires deep expertise in compiler development and close collaboration with distributed engineering teams.
This role involves optimizing key Cloud and HPC CPU workloads on NVIDIA’s CPU, engaging with the developer community, and contributing to software stacks and libraries. You will work closely with diverse teams to improve NVIDIA’s products and influence the design of next-generation architectures.
This role involves engaging with partners and customers to resolve functional and performance issues with NCCL, conducting performance analysis of NCCL and DL applications on GPU clusters, and developing tools for issue isolation. You will also guide customers on HPC methodologies, document NCCL usage, and collaborate with internal teams across different time zones.
As a Senior System Software Engineer, you will engage with NVIDIA's key partners and customers to troubleshoot and optimize NCCL performance in large-scale GPU clusters. You will develop tools, conduct performance analysis, and provide training on HPC methodologies, contributing to the advancement of AI and HPC technologies.
This role involves engaging with key partners and customers to troubleshoot and optimize the performance of NVIDIA's NCCL library in large-scale GPU clusters. You will conduct performance analysis, develop tools for issue isolation, and provide training on HPC methodologies. The position requires strong C/C++ skills, experience with parallel programming, and a deep understanding of high-performance networking.
This role involves engaging with partners and customers to resolve functional and performance issues with NCCL, conducting performance analysis, and developing tools for new systems and platforms. You will also guide customers on HPC methodologies, document findings, and conduct trainings on NCCL.
This role involves engaging with partners and customers to resolve functional and performance issues with NCCL, conducting performance analysis, and developing tools for new systems and platforms. You will also guide customers on HPC methodologies, document processes, and conduct training sessions.
