Top Tech Jobs & Startup Jobs

The Senior AI-HPC Storage Engineer will lead the design and implementation of innovative storage solutions for deep learning and high performance computing workloads. Responsibilities include researching distributed storage services, developing scalable infrastructure, optimizing performance, and providing support for research workflows in AI and HPC environments.

Design and implement the CPU on-chip and off-chip interconnect network, focusing on micro-architectural definition, RTL coding, logic debug, synthesis, and timing closure. Collaborate with verification and implementation teams and assist with timing closure of super units.

The Senior Logic Design Engineer will design CPU on-chip interconnect networks and last-level caches, collaborating with physical design teams to achieve performance targets, and verify design correctness. Responsibilities include architecture definition and RTL coding/debugging, driving advancements in high-performance semiconductor designs.

The Senior Graphics Architect will develop and enhance GPU architecture features, create software for hardware simulators, and collaborate with other architects to validate new features. Responsibilities include designing graphics algorithms, building testing infrastructures, and documenting developments in performance and efficiency.

The role involves conducting performance analysis and benchmarking on large multi-GPU and multi-node clusters, studying library interactions with hardware and software, triaging performance issues, and building tools for data visualization. The engineer will collaborate with teams across time zones and needs to have a strong background in HPC and performance engineering.

Design and implement GPU compute clusters for deep learning and high performance computing workloads. Provide leadership in strategic challenges for compute, networking, and storage design. Develop automation solutions and support researchers in running flows on clusters.

The Senior GPU Memory Architect will develop and optimize GPU memory architecture, improve memory access efficiency, analyze performance simulation results, create architectural specifications, and debug high-level models and silicon issues. The role requires extensive experience in GPU or CPU architecture, particularly in memory systems.