Latest Customer Service Jobs

Senior Solutions Architect – Large Scale AI Inference

This role involves guiding AI customers in deploying and optimizing large-scale inference workloads on multi-node GPU clusters, with a focus on advanced techniques like MoE serving, speculative decoding, and memory optimization. The architect will design efficient inference pipelines for dense and sparse models across thousands of GPUs and collaborate with NVIDIA’s product teams to enhance customer success. The position also includes leading technical engagement through workshops and reference architectures across EMEA.

NVIDIA PLN 292,500 – PLN 507,000 pa

Senior Solutions Architect – Large Scale AI Inference

This role involves designing and optimizing large-scale AI inference solutions on multi-node GPU clusters, focusing on advanced techniques like Mixture-of-Experts (MoE) serving, speculative decoding, and memory-bound workload optimization. The Senior Solutions Architect will work closely with leading AI organizations and NVIDIA’s product teams to drive performance, efficiency, and adoption of NVIDIA's inference stack. Responsibilities include technical leadership, customer engagement, and community building through workshops and reference architectures.

NVIDIA PLN 292,500 – PLN 507,000 pa

CFD Multiphase & DEM Engineer

Develop and validate high-fidelity multiphase CFD models for industrial applications in bioprocess and chemical engineering, integrating with AI-driven simulation workflows. Work across the full simulation lifecycle—from CAD and meshing to solver development, HPC execution, and experimental validation—while collaborating directly with clients to solve complex engineering challenges. Focus on scalable automation, surrogate modelling, and data pipelines to enable AI-enhanced design optimisation.

PhysicsX United Kingdom

Hybrid Permanent

CFD Multiphase & DEM Engineer

This role involves developing and validating high-fidelity multiphase CFD and coupled CFD-DEM simulations for industrial applications across aerospace, energy, and manufacturing. The engineer will work directly with customers to build automated, scalable simulation workflows integrated with AI-driven surrogate models, using tools like Star-CCM+, OpenFOAM, or Fluent alongside Python and parametric CAD. Emphasis is placed on smart sampling, model validation, and mentoring within a collaborative, high-performance engineering culture.

PhysicsX London, United Kingdom

Tech Engagement Lead, AI Labs - EMEA

This role involves building deep technical partnerships with leading AI research labs and model builders to integrate NVIDIA's GPU hardware, systems, and software stack into their AI development workflows. The candidate will identify performance bottlenecks, drive platform optimisations across training, post-training, and inference, and translate technical insights into product roadmap influence. They will also help shape collaboration strategies, support technical assessments of emerging AI labs, and enable public showcases of joint innovation at events like GTC.

NVIDIA

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

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems, focusing on MLOps pipelines, distributed training, and inference performance across cloud and on-prem environments. Collaborate with internal teams and external customers to solve complex infrastructure challenges, particularly around LLMs and new hardware integration. Build open-source tools and reference architectures to scale AI workloads effectively.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems, focusing on MLOps pipelines, distributed training, and inference performance across NVIDIA's cloud platforms and open-source frameworks. Act as a technical advisor for internal and external customers, solving complex production issues and building scalable reference architectures. Work closely with infrastructure and framework teams to enhance AI workload capabilities on accelerated systems.

NVIDIA Germany PLN 292,500 – PLN 650,000 pa

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

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

Senior Solutions Architect, Higher Education and Research

Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate on high-impact research projects at supercomputing scale, integrate NVIDIA frameworks into scientific workflows, and deliver training and technical content. Bridge researcher needs with product development by prototyping solutions and providing feedback to engineering teams.

NVIDIA Reading, United Kingdom

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

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide large language model development across training, fine-tuning, and inference, while integrating NVIDIA's software stack into research workflows. Responsibilities include delivering technical training, mentoring researchers, and translating emerging research needs into prototypical solutions, with strong emphasis on collaboration and innovation in AI.

NVIDIA

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

Act as a trusted technical advisor to academic and research partners, driving adoption of NVIDIA's AI and accelerated computing technologies. Collaborate on large-scale research projects involving LLMs, integrate NVIDIA software stacks into workflows, and deliver training and workshops. Translate research needs into prototypical solutions and provide feedback to engineering teams.

NVIDIA

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

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide large-scale research projects, integrate NVIDIA's AI software stack into LLM workflows, and deliver technical training. Key responsibilities include driving innovation in foundation models, translating research needs into technical solutions, and providing expert mentorship to researchers and developers.

NVIDIA

Senior Solutions Architect, Higher Education and Research

This role involves partnering with academic and research institutions to advance AI and accelerated computing initiatives, focusing on multimodal and physical AI. The Solutions Architect will guide researchers in integrating NVIDIA's full technology stack, from GPUs to software frameworks, into high-impact scientific projects. Responsibilities include hands-on technical engagement, training delivery, and translating research needs into prototypical solutions while maintaining deep expertise in AI and computing architecture.

NVIDIA United Kingdom