This remote Senior Cloud Architect role within DoiT's Forward Deployed Engineering team leads design and implementation of ML/GenAI workloads on AWS, advises customers on cost, reliability, security and performance, and turns field solutions into reusable patterns and product feedback. The position supports customers across the UK, Ireland, Estonia, Sweden, the Netherlands, Israel and contractors in parts of Europe, and requires hands-on AWS and ML/GenAI expertise (4+ years).

Lead planning and deployment of large-scale AI data centers, focusing on power and cooling systems, telemetry and control systems, and construction/delivery processes. Review designs for compliance with NVIDIA reference architectures and industry standards, perform pre-deployment audits, drive QA and continuous improvement, and collaborate with product, engineering, customers, and partners. Position requires ~12+ years experience in data center engineering, hyperscale deployments, and readiness to travel (~25%).

Seeking a Principal Software Engineer to act as the technical focal point for rack-scale system software/firmware in CSP engagements. Responsibilities include driving architecture alignment, fabric and NVSwitch error handling, health telemetry and APIs, firmware update orchestration, SW-driven serviceability, and collaborating with CSP engineering teams. Requires 15+ years in system software, platform firmware, or large-scale distributed systems.

Lead developer relations and technical partnership efforts for cloud hosting and AI Factory infrastructure: integrate NVIDIA software stacks, onboard partners, provide sample code and technical guidance, and coordinate feedback across product and engineering teams. Requires 12+ years in technology roles (software engineering, developer relations, solutions architecture, or similar) and 5+ years hands‑on experience with cloud hosting or AI Factory infrastructure, plus deep knowledge of Kubernetes, container runtimes, hypervisors, GPU acceleration (e.g., CUDA/DOCA), and related hardware and networking design.

Role requires working with EDA/CAD developers and semiconductor customers to accelerate EDA and manufacturing workflows using NVIDIA GPUs and software (e.g., cuLitho, CUDA). Requires 4+ years in semiconductor design/EDA/manufacturing or AI/ML applied to these domains, experience with Python/C/C++, AI frameworks (PyTorch/TensorFlow), and familiarity with HPC, containers, and distributed GPU systems. Master's/PhD or equivalent experience preferred.

NVIDIA seeks a senior engagement manager with strong technical depth in data center systems, large-scale GPU/AI platforms, and enterprise cloud programs. The role requires 10+ years of customer-facing coordination and engagement leadership, driving cross-functional teams, executive updates (RAG, risk register, action tracker), and resolution of high-priority blockers. Occasional travel (up to 25%) and weekend support for critical deployments may be required.

Salesforce (MuleSoft) is seeking a Technical/Solutions Architect to lead integration engagements, design enterprise-grade integration solutions, and mentor services teams. The role requires hands-on experience with MuleSoft or comparable integration platforms, API management, SDLC and deployments, plus experience with high-availability and performance tuning; high-level Japanese and business-fluent English are required.

Lead Cloudera’s AI industry solutions for Financial Services by translating R&D into sales playbooks, technical reference architectures, and prototypes. Support Sales, R&D, and customer retention through technical evangelism, value engineering, and thought leadership; requires 10+ years in Financial Services and hands-on AI/ML engineering experience.

Lead the strategy, design, onboarding, and rollout of a centralized Product Information Management (PIM) ecosystem (preferably Akeneo) unified with Adobe Experience Manager. Responsible for catalog strategy, complex data modelling, integrations with channel managers, inventory/payment/CRM systems, data quality and multilingual localization, and cross-functional stakeholder alignment. Requires 10+ years of PIM/product catalog/MDM experience in travel, hospitality, resorts, or e-commerce.

Strategic Product Catalog & PIM lead responsible for enterprise catalog vision, governance, complex omnichannel data modeling, and end-to-end PIM implementation (preference for Akeneo). Role includes integrating PIM with Adobe Experience Manager, resort/channel/inventory/payment/CRM systems, enabling booking and conversion, managing data quality and localization across 8+ languages, and coordinating cross-functional stakeholders. Remote (LatAm) with timezone alignment to Gulf Standard Time (GST) / Eastern European Time (EET). 10+ years required.

Responsible for defining and governing an enterprise product catalog and leading end-to-end PIM (preferred Akeneo) implementation integrated with Adobe Experience Manager. Requires 10+ years in PIM/catalog/MDM within hospitality, travel, resorts, e-commerce or marketplaces, expertise in data modeling, API integrations, localization (8+ languages), and cross-functional stakeholder management. Remote role based in LatAm with timezone alignment to GST/EET.

Role to investigate communication bottlenecks, design and implement communication technologies, build proofs-of-concept, run experiments and simulations for large GPU clusters. Requires M.S./Ph.D. or equivalent, 12+ years of experience, strong C/C++ skills, experience with parallel programming models and communication runtimes (e.g., MPI, NCCL, NVSHMEM, UCX), solid Linux and network/system architecture knowledge. Posted salary ranges: 224,000–356,500 USD (Level 5) and 272,000–431,250 USD (Level 6). Applications accepted through at least August 19, 2026.

Extreme Networks seeks a SLED (State, Local, Education) Systems Engineer to support sales by designing, demonstrating, and validating secure, scalable networking solutions (switching, routing, wireless, security, cloud-managed). Role involves technical presentations, POCs, RFPs, customer enablement, and collaboration with account teams and product/engineering. Requires 7–10+ years of relevant systems or pre-sales engineering experience; travel up to 50%. Anticipated base salary range is 170,000 to 190,000 USD and the role is eligible for commission.

Drive high-value technical evaluations and own the technical 'win' for enterprise accounts across the DACH and Eastern Europe markets. Partner with sales and cross-functional teams to lead discovery, architect solutions, deliver PoV/PoC, respond to RFX/RFIs, and provide product/engineering feedback. Role requires enterprise pre-sales experience, hands-on cloud and observability knowledge, and professional proficiency in German and English.

NVIDIA seeks a Senior Solutions Architect to partner with universities and research labs on LLMs, VLMs, multimodal models, pretraining/post-training, inference studies, distributed GPU-accelerated training, and agent evaluation. Requires 8+ years in AI systems or research-scale generative AI workflows; travel up to 20%. Base salary range listed: 184,000–287,500 USD/year.

Remote Senior Solutions Architect on NVIDIA's Infrastructure Specialists team. Run and interpret microbenchmarks and workloads to validate HPC/AI systems; design and extend telemetry across hardware, fabric, and workloads; build automation (Python, Shell) and observability integrations (Prometheus, Grafana, Loki or similar); collaborate with hardware, software, networking, datacenter, and product teams. Requires 6+ years managing Linux-based systems in HPC or large AI/ML environments and hands-on multi-GPU/multi-node cluster and networking experience.

NVIDIA seeks a Senior Solutions Architect to support higher education and research institutions in computational physics, engineering simulation, scientific AI, and HPC. The role involves architecting GPU-accelerated solutions, profiling and optimizing scientific applications and AI workloads, and collaborating with researchers and internal teams. Required: BS/MS/PhD or equivalent, 8+ years in accelerated computing and parallel/GPU computing, strong Python and C++ skills. Salary range listed: 184,000–287,500 USD base per year. Travel up to 20%.

Work with ISVs, product, engineering, developer relations, and sales to identify use cases, run architecture reviews, build POCs, benchmarks and repeatable GTM assets (reference architectures, playbooks, demos). Requires 8+ years experience in machine learning/deep learning and data analytics, strong background in data platforms/distributed systems/databases, familiarity with Spark, Pandas, Polars, DuckDB, Trino/Presto, Velox, RAPIDS/cuDF/cuVS and related NVIDIA libraries. Travel up to 20%.

The Specialist Adoption Architect 3 independently designs tailored enablement strategies, leads adoption workshops, diagnoses and resolves moderate technical adoption blockers (e.g., integration gaps), develops reusable best-practice resources, and partners with product teams to relay VoC for roadmap prioritization. Requires deep expertise in application migration and development on container platforms (OpenShift/Kubernetes), CI/CD and DevOps practices, and experience with languages such as Java, C#, Python, Go, or Ruby.

NVIDIA seeks a Senior AI Compute Engineer to work with customers, partners and internal teams to plan, deploy and support large AI factory systems. Responsibilities include Linux-based system administration, data center networking and monitoring, automation/scripting, troubleshooting hardware and software issues, creating handover documentation and knowledge transfers. Requires a bachelor’s degree or equivalent and 8+ years of data center support and deployment experience; excellent English communication skills. Kubernetes, NVIDIA/AI infrastructure experience and industry data center certifications are listed as desirable.