Latest Computer Vision Engineer Jobs

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Senior CPU Performance Developer Technology Engineer

This role involves deep performance analysis and optimization of cloud and HPC workloads on NVIDIA's CPU architecture. The engineer will collaborate with developers, contribute to software stacks and libraries, and influence future hardware and software design. Focus is on solving complex performance challenges in close partnership with internal teams and external developers.

NVIDIA Switzerland £292,500 – £650,000 pa
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Senior CPU Performance Developer Technology Engineer

This role involves deep performance analysis and optimization of cloud and HPC workloads on NVIDIA's CPU architecture. You will collaborate with developers, researchers, and internal teams to enhance software stacks and influence next-generation design. The position emphasizes low-level code optimization, direct contributions to software frameworks, and performance benchmarking for enterprise-scale applications.

NVIDIA PLN 292,500 – PLN 650,000 pa

Manager, Technical Deployment

This role involves managing a team of Technical Deployment Leads in the Financial Services sector, ensuring successful AI project delivery, and building strong relationships with executive stakeholders. Responsibilities include hiring, setting delivery standards, and leading complex engagements.

Anthropic London, United Kingdom

Staff Infrastructure Engineer, Cluster Infrastructure

This role involves leading the technical strategy for agent-driven automation in cluster lifecycle management, ensuring secure, scalable, and fault-tolerant compute infrastructure across cloud and on-prem environments. You'll collaborate with research, product, and security teams to shape long-term infrastructure direction, with a focus on high-bandwidth interconnectivity and operational excellence. The position emphasizes mentorship, cross-team alignment, and driving innovation in large-scale cluster provisioning and management.

Anthropic London, United Kingdom £325,000 – £485,000 pa
On-site Permanent
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Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on distributed training, inference optimization, and MLOps pipelines. The engineer will act as a technical advisor to both internal and external customers, diagnosing complex full-stack AI/ML system issues and contributing to open-source tools and reference architectures. Emphasis is placed on performance tuning, cross-team collaboration, and enabling cutting-edge AI workloads on NVIDIA hardware and software stacks.

NVIDIA PLN 292,500 – PLN 650,000 pa
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Senior MLOps Engineer - DSX Enablement

Develop and optimize scalable MLOps pipelines and AI infrastructure on NVIDIA's NeoCloud and partner platforms, supporting large-scale training and inference workloads. Serve as a technical advisor to internal and external teams, diagnosing cross-stack performance issues and contributing to open-source tools and reference architectures. Focus on accelerating AI initiatives through deep systems expertise and collaboration with infrastructure and framework teams.

NVIDIA PLN 292,500 – PLN 650,000 pa
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Senior Deep Learning Software Engineer, Inference

Design and optimize GPU-accelerated deep learning inference software for large-scale language and generative AI models. Develop and enhance high-performance frameworks like vLLM and SGLang, implementing cutting-edge algorithms and performance improvements across NVIDIA's GPU architectures. Collaborate with open-source communities and internal teams to optimize model serving pipelines using tools like CUDA, Triton, and CUTLASS.

NVIDIA PLN 221,250 – PLN 507,000 pa
Remote Permanent
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Senior Solutions Architect – Large Scale AI Training

This role involves serving as a technical advisor to leading AI organizations in EMEA, focusing on large-scale distributed training and post-training of advanced AI models such as Mixture-of-Experts. The architect will guide customers on optimizing training efficiency, infrastructure, and software stacks using NVIDIA's full stack including NeMo and Megatron-LM, while influencing product development through direct customer feedback. The position bridges deep technical expertise with strategic collaboration across research, engineering, and developer communities.

NVIDIA
Remote Permanent
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Senior Solutions Architect – Large Scale Neural Networks Inference

Lead technical engagements with AI-native enterprises and research labs across EMEA to define and optimize large-scale neural network inference solutions. Architect high-performance inference pipelines using NVIDIA's stack, identify system-level bottlenecks in latency, efficiency, and cost, and translate real-world deployment challenges into product improvements. Work closely with customers from proof of concept through production deployment, focusing on scalable AI infrastructure built on GPUs and optimized inference frameworks.

NVIDIA PLN 292,500 – PLN 650,000 pa
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Senior Solutions Architect – Large Scale Neural Networks Inference

This role involves leading the technical strategy for AI inference solutions across EMEA, working closely with AI-native customers and frontier labs. The Senior Solutions Architect will design and optimize high-performance inference pipelines using NVIDIA's latest technologies, addressing challenges in latency, efficiency, and scalability. Key responsibilities include translating customer deployment insights into product feedback and driving the evolution of NVIDIA’s inference stack.

NVIDIA PLN 292,500 – PLN 650,000 pa
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Senior Solutions Architect – Large Scale Neural Networks Inference

Lead technical strategy for large-scale AI inference deployments across EMEA, working closely with frontier AI labs and enterprises. Architect and optimize high-performance inference pipelines using NVIDIA's stack, including TensorRT-LLm, vLLM, and Dynamo, while translating real-world deployment challenges into product improvements. Drive end-to-end engagements from proof of concept to production at scale, focusing on efficiency, latency, and GPU utilization.

NVIDIA PLN 292,500 – PLN 650,000 pa
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Senior Solutions Architect – Large Scale Neural Networks Inference

This role involves leading AI inference strategy for EMEA customers, guiding them from proof of concept to production-scale deployment of large neural networks. The candidate will architect high-performance inference pipelines using NVIDIA's latest technologies, optimize for latency, efficiency, and cost, and translate real-world deployment challenges into product improvements for NVIDIA's inference stack. The position requires deep technical expertise in transformer models, GPU optimization, and close collaboration with both internal teams and external AI labs.

NVIDIA PLN 292,500 – PLN 650,000 pa
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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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Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and GCP technologies for generative AI and machine learning workloads. Collaborate with developers, data scientists, and technical leaders to optimize training and inference pipelines on hyperscaler infrastructure. Act as a technical bridge between NVIDIA, Google Cloud, and enterprise customers to drive adoption of accelerated computing in AI.

NVIDIA Reading, United Kingdom