Future Tech Jobs
Future Tech Jobs
This role involves deep performance analysis and optimization of cloud and HPC CPU workloads on NVIDIA's CPU architecture. You'll collaborate with developers, researchers, and internal teams to enhance software stacks, create optimized reference code, and influence next-generation CPU design. The position requires strong expertise in low-level programming and performance tuning for enterprise-scale applications.
This role involves deep performance analysis and optimization of CPU workloads for NVIDIA's cloud and HPC platforms. You'll collaborate with developers, researchers, and internal teams to enhance software stacks and influence next-gen CPU architecture. The position emphasizes low-level code optimization, benchmarking, and direct contributions to frameworks and reference implementations.
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DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
Design and build distributed failure detection, tracing, and observability systems to ensure reliable, efficient training of large-scale AI models. Develop tooling to identify performance bottlenecks and faulty nodes across OpenAI’s custom supercomputing infrastructure. Collaborate closely with research and systems teams to evolve platform capabilities for frontier AI workloads.
This role involves managing and negotiating complex commercial and procurement contracts for Anthropic's EMEA operations, with a focus on supporting AI technology transactions. The Contracts Manager will work closely with legal and business teams to streamline contract processes, implement scalable solutions, and align regional execution with global legal strategy. Key responsibilities include drafting agreements, improving contracting efficiency, and enabling cross-functional stakeholders through local rollout of policies and initiatives.
This role involves conducting empirical economic research to understand AI's impact on labor markets, productivity, and economic transformation across a specific region. The economist will develop and expand the Anthropic Economic Index using novel measurement systems like Clio, applying advanced econometric and machine learning methods. They will collaborate with governments, academia, and policy institutions to translate research into actionable insights and influence both public policy and internal business decisions.
Design and optimize high-performance AI inference systems for large-scale models using cutting-edge GPU hardware. Develop and enhance inference frameworks like vLLM, implement advanced parallelism techniques, and contribute to compiler and kernel optimization. Build scalable scheduling solutions for multi-node, multi-cloud GPU deployments and drive industry benchmarks such as MLPerf.
This role involves building and optimizing high-performance AI inference systems for large-scale models, focusing on GPU kernel optimization, compiler development, and distributed inference frameworks. You'll work on cutting-edge technologies like vLLM, speculative decoding, and multi-node GPU orchestration, while contributing to industry benchmarks like MLPerf. The position blends deep systems engineering with research to advance the efficiency and scalability of AI inference.
Design and optimize high-performance AI inference systems for large-scale models using NVIDIA's latest GPU hardware. Develop and enhance inference frameworks like vLLM, implement advanced parallelism techniques, and build optimized GPU kernels. Contribute to compiler infrastructure, benchmarking, and distributed scheduling for multi-node, multi-cloud deployments. Integrate research innovations into production software and publish original work in ML systems.
Design and optimize high-performance AI inference systems for large-scale models on NVIDIA GPUs. Develop compiler infrastructure, GPU kernels, and distributed scheduling solutions while contributing to open-source frameworks like vLLM. Engage in cutting-edge research and industry benchmarking to advance the state of ML systems.
Design and optimize high-performance AI inference systems for large-scale models using cutting-edge GPU hardware. Develop and enhance inference frameworks like vLLM, implement advanced parallelism techniques, and contribute to compiler and kernel optimization. Collaborate across teams to improve performance across multi-GPU and multi-cloud environments, with opportunities to publish research and influence industry benchmarks.
Lead the design of next-generation system architectures for DPUs and NICs, focusing on cloud networking, orchestration, and security. Develop end-to-end solutions spanning hardware to application layers, with deep involvement in prototyping and architecture specification. Collaborate globally with engineering and product teams to shape the future of data center technologies.
This role involves defining next-generation system architectures for NVIDIA's DPU and NIC technologies, focusing on cloud networking, security, virtualization, and orchestration. You'll lead end-to-end architectural design from hardware to application level, develop proof-of-concept prototypes, and collaborate with global teams and high-profile customers to shape future data center solutions.
Design and define next-generation system architectures for DPUs and NICs, spanning hardware to application layers with a focus on cloud networking, orchestration, and security. Lead architecture specifications and proof-of-concept development while collaborating globally with engineering and customer teams. Innovate across networking, virtualization, and SDN to shape the future of data center technologies.
