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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “GPU Performance Engineer, Platform Architecture”. A match may be a passing mention rather than the job itself. Titles only.
1,442 roles across 1,659 listings · show every listing · page 7 of 58
…accelerated computing platforms. Collaborate with internal engineering and product teams to accelerate customer adoption of new NVIDIA technologies. Develop reference architectures, technical assets, demos…
…Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus. Ways to stand out…
…This role offers an outstanding opportunity to work with innovative GPUs and optimize performance from the design stage through the entire product lifecycle. Join…
…We seek a Senior ML Engineer to compose and deliver next-generation Metropolis solutions powered by Cosmos, NVIDIA's world foundation model platform. Your…
…infrastructure, data platforms, modern application architecture, and AI deployment lifecycles. Ability to engage senior executives and hands-on engineering or architecture teams with equal…
…networking, latency, throughput, batching, GPU suitability, and cost-performance tradeoffs. Ability to lead technical and business discussions with engineering, platform, risk, and senior stakeholder…
…You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal…
…Work directly with computational chemists, materials scientists, and customer R&D and engineering teams in a customer-facing setting. Help developers GPU-accelerate and…
…platforms. We are looking for an AI-native engineer who can combine a strong understanding of model architectures with performance analysis across GPU and…
…BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience 8+ years in engineering, solutions architecture, applied ML, enterprise software…
…GPU buffer management, GPU shader architecture Display panel specifications (timing, pixel clock, framerates) Experience with MPI, CSI and DSI interfaces Experience with System performance…
…SoC architecture, ARM architecture, SoC/ARM security, Virtualization and Hypervisors, SoC Low-power management frameworks, performance analysis, Multimedia systems (Camera, Audio, GPU, Display, Video…
…and performance architecture. Performance, Power & Concurrency Analysis – System-level validation of bandwidth, latency, QoS, throughput, scalability, and power-performance tradeoffs. Pre-Silicon Platforms – Experience…
…and enforce platform baselines at scale. Document reference architectures, decision records, and operational runbooks to improve repeatability and auditability. Mentor engineers through design reviews…
…business advisor to the product and engineering organization with end-to-end product ownership supporting the GPU Product Portfolio. The scope and complexity of…
…highest performance automotive compute platforms. This role follows a hybrid work schedule and you will report to the Senior Staff Silicon Engineer. You will…
…design and platform teams to improve performance and debug. What you'll be doing: Learn and understand the NIC u/architecture thoroughly across all…
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and…
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and…
…roadmap and architecture, proof-of-concept for state-of-the-art platforms, new product introduction (NPI), and fleet-scale operations — all engineered for gigawatt…
…The Platform Systems Engineering (PSE) team is seeking a Principal AI Network Hardware Systems Engineer to lead the architecture, bring-up, validation, optimization, and…
…We drive optimization across multiple layers of Amazon’s stack, focusing on GPU efficiency infrastructure for AI/ML workloads through centralized scheduling, software performance…
…like AWS Trainium and Inferentia, GPU-powered instances, and optimized frameworks like PyTorch and JAX, 2) AI/ML Platforms including Amazon Bedrock for building…
…like AWS Trainium and Inferentia, GPU-powered instances, and optimized frameworks like PyTorch and JAX, 2) AI/ML Platforms including Amazon Bedrock for building…
…mobile robots, manipulators, mobile manipulators, and future platforms with dynamic stability. You will push the frontiers of performant safety for highly dynamic robots: CBF…