…Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis and test tooling. Experience productionising algorithm-heavy robotics software for vehicles…

…GPU performance analysis on RoCE/Infiniband Knowledge of GPU architectures and CUDA programming Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent…

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and…

…Capacity Engineering accurately models demand, forecasts requirements, and delivers optimal CPU and GPU capacity on schedule. We drive hardware cost-efficiency and price/performance…

…Our mission is to maximize the performance and scaling of hardware accelerators (TPUs and GPUs) across Google DeepMind and Google, with a core focus…

…Experience with one or more of operating systems, performance analysis, distributed systems, CPU and GPU architecture, or machine learning systems. Experience of low-level…

…We're looking for highly motivated, innovative engineers to join the GPU Performance Modelling Team, the group driving advanced exploration of Apple's next…

…Proficiency in commercial or proprietary game engines (e.g. Unity/Unreal), with familiarity in performance profiling, GPU cost analysis, memory budgets, and optimization across…

…new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for…

…Design robust clocking & CDC strategies (MMCM/PLL trees, jitter budgets, multi ‑ domain timing closure, async FIFOs, metastability analysis) for deterministic performance. Co ‑ design hardware…

…As a Circuit Design Engineering Lead for the custom circuits team, you will perform the following: - Drive development of high performance, low power optimized…

…code analysis tools to maintain code quality, security, and performance. Understanding of hardware architecture, particularly how software interacts with compute accelerators like GPUs or…

…specialized hardware (GPUs, InfiniBand) to enhance AI system performance. Infrastructure Automation: Develop and maintain automation tools for deployment, monitoring, predictive analysis and management of…

…register maps, interrupt handling, DMA engines, and PCIe/Ethernet protocol stacks Analyze silicon characterization data to assess performance margins, power consumption, and thermal behavior…

…Key job responsibilities - Build, hire, and develop a physical design team of 10-15 engineers. Own headcount planning, performance management, career growth, and organizational…

…GPUs, CPUs, LPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, insightful analysis, and…

…Knowledge of performance verification and bandwidth/latency analysis for interconnect fabrics. Exposure to verification IPs for bus protocols, or emulation platforms (e.g., Palladium…

…Deep Learning, Parallel Programming, High-Performance Computing Systems, GPU Computing, GPU Architecture, CPU Architecture. Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration…

…GPU Architecture Modeling and Performance Analysis Conduct quantitative studies of current and future GPU architectures; develop performance and functional models; analyze graphics and parallel…

…content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging Course or internship experience related to the…

…design Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms Creation of performance-driven simulation components (using…

…partnership with CTO, engineering, and strategy teams. Define the power and cooling roadmap in lockstep with PowerEdge server and AI/GPU platform roadmaps, ensuring…

…Experience building or supporting production AI/ML platforms (training, deployment, and model serving/inference), including GPU infrastructure/tooling. Strong DevOps/platform engineering practices: CI…

…You will productionize training workloads (often GPU-based), improve performance and cost efficiency, and enable repeatable, well-governed training across environments Job Responsibilities Design…

…Analyze inventory transactions, levels, usage, and discrepancies to maintain high accuracy and identify trends Perform root-cause analysis on inventory variances and recommend/implement…