Latest platform engineer Jobs

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Senior Solutions Architect, Higher Education and Research - Open Models and LLM

Act as a technical advisor to academic and research institutions, driving adoption of NVIDIA's AI and accelerated computing technologies. Collaborate on large-scale research projects involving LLMs, deliver training workshops, and translate researcher needs into product feedback. Focus on integrating NVIDIA's full software and hardware stack into cutting-edge AI and HPC workloads.

NVIDIA United Kingdom
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Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems for internal and external customers, focusing on MLOps pipelines, distributed training, and inference performance. Build open-source tools and reference architectures to scale AI workloads on NVIDIA platforms and cloud partners. Act as a technical advisor for complex production issues across hardware, software, and infrastructure layers.

NVIDIA £292,500 – £650,000 pa
Remote Permanent
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Senior Deep Learning Software Engineer, Inference

This role involves designing, optimizing, and maintaining high-performance deep learning inference software for large-scale AI models, particularly focusing on GPU-accelerated frameworks like vLLM and SGLang. The engineer will implement cutting-edge algorithms, improve model serving efficiency across NVIDIA's GPU architectures, and contribute to open-source inference libraries. Work includes performance tuning, cross-architecture scaling, and close collaboration with deep learning and framework teams.

NVIDIA Netherlands PLN 221,250 – PLN 507,000 pa
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Senior Deep Learning Software Engineer, Inference

Design and optimize high-performance deep learning inference software for NVIDIA's GPU-accelerated platforms, focusing on frameworks like vLLM and SGLang. Work on performance tuning of LLMs and generative AI models across datacenter and edge GPUs. Collaborate with open-source communities and internal teams to enhance model serving efficiency and scalability.

NVIDIA PLN 221,250 – PLN 507,000 pa
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Senior HPC AI Cluster Engineer

Design and maintain large-scale HPC/AI clusters with a focus on GPU-accelerated computing and deep learning platforms. Develop automation tooling for deployment, monitoring, and self-service infrastructure, while collaborating with researchers and engineers to optimise performance at scale. Work across bare metal, OS, networking, and application layers to troubleshoot and improve system reliability and efficiency.

NVIDIA Germany
Remote Permanent
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Senior HPC AI Cluster Engineer

This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, with a focus on GPU-accelerated computing and deep learning platforms. The engineer will automate infrastructure deployment, manage orchestration tools like Slurm and Kubernetes, and support R&D through proof-of-concept projects. Work includes full-stack troubleshooting, performance tuning, and developing self-service solutions for scientific and technical users.

NVIDIA
Remote Permanent
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Senior HPC AI Cluster Engineer

Design and maintain large-scale HPC/AI clusters with a focus on automation, monitoring, and performance optimization across bare metal, OS, and application layers. Develop CI/CD pipelines and self-service tooling for infrastructure management, supporting cutting-edge research and development in AI and accelerated computing. Collaborate with specialists in GPU compute, networking, and storage to deploy and troubleshoot high-performance systems at scale.

NVIDIA
Remote Permanent
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Senior HPC AI Cluster Engineer

This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities.

NVIDIA
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Senior Software Engineer, AI Inference Systems

This role involves building and optimizing high-performance AI inference systems for large-scale models on NVIDIA GPUs. You'll contribute to open-source frameworks like vLLM, optimize GPU kernels and compilers, design benchmarking methodologies, and work on scheduling for multi-node, multi-cloud deployments. The position blends deep systems engineering, performance optimization, and research to advance the state of accelerated AI computing.

NVIDIA Germany PLN 292,500 – PLN 650,000 pa
Remote Permanent
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Senior Software Engineer, AI Inference Systems

Design and optimize high-performance AI inference systems for large-scale models, focusing on GPU kernel development, compiler optimization, and distributed inference frameworks. Work on vLLM, speculative decoding, and MLPerf benchmarking while collaborating across compiler, scheduling, and performance teams. Contribute to open-source and publish research to advance ML systems.

NVIDIA PLN 292,500 – PLN 650,000 pa
Remote Permanent
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Senior Software Engineer, AI Inference Systems

This role involves building and optimizing AI inference systems for large-scale models using NVIDIA's latest GPU hardware. You'll work on high-performance inference stacks, GPU kernel optimization, compiler infrastructure, and benchmarking, while collaborating with cross-functional teams. The position emphasizes research contributions, open-source development, and deployment across multi-GPU and cloud environments.

NVIDIA PLN 292,500 – PLN 650,000 pa
Remote Permanent
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Senior Software Engineer, AI Inference Systems

Design and optimize high-performance AI inference systems for large-scale models on NVIDIA GPUs, focusing on frameworks like vLLM, kernel optimization, compiler infrastructure, and distributed execution. Develop benchmarking methodologies, contribute to MLPerf, and integrate cutting-edge research into production software. Work across compiler, scheduling, and performance teams to push the limits of accelerated computing in multi-GPU and multi-cloud environments.

NVIDIA PLN 292,500 – PLN 650,000 pa
Remote Permanent
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Senior Software Engineer, AI Inference Systems

This role involves building and optimizing AI inference systems for large-scale models, focusing on high-performance GPU stacks, kernel optimization, and multi-node deployment. The engineer will contribute to frameworks like vLLM, develop compiler infrastructure, lead benchmarking efforts including MLPerf, and integrate cutting-edge research into production software. Collaboration across compiler, scheduling, and performance teams is central to advancing NVIDIA’s accelerated computing platform.

NVIDIA PLN 292,500 – PLN 650,000 pa
Remote Permanent
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Developer Technology Engineering Intern - Compute Performance

In this internship, you will research and develop GPU-acceleration techniques for high-performance computing applications in scientific computing, computational engineering, and data science. You will work closely with application developers and NVIDIA teams to optimize performance and influence the design of next-generation GPU architectures.

NVIDIA
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Developer Technology Engineering Intern - Compute Performance

This internship involves researching and developing GPU-accelerated techniques for high-performance computing applications in scientific computing, computational engineering, and data science. You will work closely with application developers and NVIDIA teams to optimize performance and influence the design of next-generation GPU architectures.

NVIDIA Switzerland