GPU Compiler Eng
1,249 open positions
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Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs
AmazonCupertino, California, United States
13d
Building next-generation compilers to optimize ML models (PyTorch, TensorFlow, JAX) for deployment on AWS Inferentia and Trainium chips.
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New College Grad - AI Infrastructure & HBM Architecture Engineer MicronRichardson, TX 13d Analyze emerging AI infrastructure trends, model HBM architecture performance, and develop simulation frameworks for next-gen AI memory systems.
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GPU Kernel Development Engineer, Senior Staff↗ QualcommSan Diego, CA, US $178k–$178k13d Developing high-performance GPU kernels and runtimes to accelerate GPGPU operations for Machine Learning and Image Processing on Snapdragon chipsets.
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Principal AI Infrastructure & Accelerator Architect↗ EPAM SystemsRemote $180k–$180k13d Define architectural vision and execute technical strategy for AI performance, optimization, and hardware-software co-design for training and serving infrastructure.
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Senior Deep Learning Framework Communications Engineer NVIDIA5 Locations $184k–$184k13d Integrate communication libraries and optimize multi-GPU communication for AI frameworks like PyTorch, TRT-LLM, and vLLM to support scaling from microsecond latency inference to 100K GPU training clusters.
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Software Student for x86 Validation Tools IntelIsrael, Haifa 13d Develop tools to validate and shape Intel's next-generation CPUs.
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Senior Staff AI Accelerator Performance Architect CerebrasSunnyvale, CA $175k–$175k13d Guide the evolution of next-generation AI systems by connecting real workloads to architectural behavior, identifying bottlenecks, and quantifying performance improvements for wafer-scale computing.
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Software Engineer - Hardware Abstraction Layer, AWS Machine Learning Accelerators
AmazonCupertino, California, United States
$144k–$144k13d
Develop the hardware abstraction layer (HAL) for AWS custom machine learning system-on-chips (SoCs) like Trainium and Inferentia, managing low-level hardware details for cloud-scale ML infrastructure.
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Systems Software Engineer Quadric Pty LtdBurlingame, CA (HQ) $150k–$150k13d Building foundational software layers (drivers, debuggers, assemblers, simulators) for a General Purpose Neural Processing Unit (GPNPU) to enable neural network inference and C++ code execution on edge devices.
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Field Application Engineer - AI Software & Hardware TenstorrentRemote 13d Customer-facing role driving adoption of AI hardware/software platforms by solving real-world technical challenges for enterprise clients.
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Principal Software Engineer - Maia Model Enablement MicrosoftUnited States, Multiple Locations, Multiple Locations 13d Define and drive technical strategy to enable new AI models, architectures, and hardware generations on the Maia platform, leading cross-stack investigations across models, serving systems, infrastructure, and hardware.
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Member of Technical Staff, Inference Inferact Singapore Pte. Ltd.San Francisco $200k–$200k14d Build and optimize the vLLM inference engine to serve larger and more complex LLM and diffusion models across diverse hardware.
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Machine Learning Hardware Architect, Google Cloud↗
GoogleSunnyvale, CA, US
$163k–$163k14d
Design and verify custom silicon solutions for Google's Tensor Processing Unit (TPU) to accelerate AI/ML workloads.
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Performance Control Software Engineer - Platform Architecture AppleAustin, United States of America 14d Design and implement kernel-level performance control features to manage power and performance tradeoffs on Apple silicon across all platforms.
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Senior Computer Scientist - C++ AdobeNoida 14d Design and build high-performance C++ systems, shape architecture, and solve complex technical problems at scale for Adobe's global software products.
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Senior Software Engineer, Inference HpeSpring, Texas, United States of America $137k–$137k14d Design and implement key components of the LLM inference runtime (engine integration, batching, KV cache management, distributed execution) to achieve low tail latency and high GPU utilization on customer-owned hardware.
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智能化数据平台技术专家 HuaweiBeijing, China 14d Design and implement an end-to-end intelligent data platform for OpenHarmony OS, focusing on user personalization, context building, and system agent frameworks for automated task execution.
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Embedded AI intern [IDA: 00062] AumovioSingapore, sg 14d Evaluate, optimize, and deploy AI models on resource-constrained embedded platforms (FPGA, MCU) for automotive use cases.
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Software Developer Intern ArmUSA 14d Design and develop tools to accelerate GPU product delivery and automate internal engineering processes.
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Software Engineer II - AI/ML, Neuron Inference↗ Amazon Web ServicesCupertino, CA, US 15d Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators (AWS Trainium), focusing on distributed inference solutions for LLMs.
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GPU Kernel Engineer – CUDA, Triton & Accelerator Performance Anyone-AIRemote 15d Reviewing, debugging, and evaluating high-performance GPU and accelerator kernels for AI workloads to ensure numerical correctness, efficiency, and hardware suitability.
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Hardware Architecture Modeling Engineer, PhD, University Graduate, 2027 Start↗
GoogleSunnyvale, CA, US
$138k–$138k15d
Develop architectural and micro architectural models to enable quantitative analysis of next-generation Tensor Processing Units (TPUs) for AI/ML hardware acceleration.
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Machine Learning Engineer, Performance Tooling WayveLondon, United Kingdom 15d Building and extending an end-to-end ML compilation pipeline to deploy models onto embedded hardware (NVIDIA, Qualcomm) for autonomous driving.
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Principal Engineer, SoC NPU Architect SamsungresearchamericaMountain View, CA $243k–$243k15d Designing next-generation System-on-Chip (SoC) Neural Processing Unit (NPU) architectures to support AI workloads for Samsung Galaxy devices.
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Senior Embeddedutvecklare med fokus på AI! Syntronic AktiebolagLinköping, Sweden 15d Developing intelligent, connected, and AI-driven products where software meets hardware for telecom, vehicles, and industrial sectors.
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AI推理工程师（J105801） Baidu深圳市,新加坡共和国 16d Deploy and optimize deep learning model inference across heterogeneous GPU and TPU hardware platforms.
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