Senior ML Performance Architect for GPU Benchmarks
Alumni Ventures
Alumni Ventures in San Francisco seeks a Senior ML Performance Engineer to architect and lead a high-performance testing platform. You will evaluate large language models on modern GPU architectures, optimizing for resource efficiency. Ideal candidates have over 7 years in performance engineering, strong GPU programming skills, and experience with ML frameworks like PyTorch and TensorFlow. Benefits include competitive salary, equity, and comprehensive health plans, along with a focus on sustainability in AI development. #J-18808-Ljbffr Alumni Ventures
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...squeezing every last drop of performance out of GPUs, diving deep into... ...and optimize CUDA kernels and GPU utilization across our serving... ...production Build tooling and benchmarks to measure and track inference... ...fleet Collaborate with applied ML engineers to ensure trained...SeniorPerformanceWork at office- ...Position: Senior ML Performance Engineer Location: SF Bay Area (US) or... ...ML Performance Engineer to architect and lead a Performance Testing... ...optimization on modern GPU architectures. This role... ...across GPU clusters Define benchmarking methodologies, metrics, and...SeniorPerformanceFull time
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Senior Principal Architect Engineer, Power Generation Senior Principal Power Generation Architect Engineer... ...Basis of Design (BOD), including performance requirements, redundancy strategy,... ...network that provides valuable benchmarking, industry insights, and alternative...SeniorPerformanceWork at officeFlexible hours- ...infrastructure. You\'ll design scalable GPU compute clusters, build robust orchestration... ...-engineers to build and manage data and ML pipelines. Establish monitoring, benchmarking, and evaluation frameworks to ensure model performance and reliability in production...SeniorPerformanceWork at office3 days per week
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.... DigitalOcean is seeking a Senior Engineer 2 to play a key technical... ...offer the industry-leading performance for our inference services.... ...the technical strategy for benchmarking and performance optimizations at the inference engine and GPU kernel layers, ensuring our infrastructure...SeniorPerformanceLocal areaRemote workWorldwideFlexible hours$155k - $214k
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