GPU Consultant Engineer (Remote/Anywhere)

Graswald

YOUR MISSION Remote (CET) About Us At Graswald AI, we’re building the AI operating system for fashion brands and retailers, starting with AI image and content generation. Our engineering team tackles rapid scaling challenges, GPU-intensive workloads, and enterprise-grade infrastructure to deliver fast, pixel-perfect results for global brands. In the past year alone, we’ve signed 50 enterprise fashion clients who rely on us to reduce costs and accelerate creative timelines. Backed by leading VCs and strategic investors including Lakestar and Orendt Studios, and preparing for a Series A later this year, we’re growing fast and building technology that is already reshaping how fashion content is produced The Role: The Senior Full Stack Software Engineer is a core member of a product team, responsible for designing, building, testing, and deploying high-quality software. Engineers work closely with their Team Lead (TL) and Product Manager (PM) to turn product requirements into reliable, scalable features that deliver real value to users. Engineers at Graswald operate in a highly dynamic environment, where requirements and architectures evolve quickly. This role requires comfort with ambiguity, strong ownership, and the ability to make pragmatic technical decisions with incomplete information. YOUR PROFILE Key Responsibilities * Software Design & Quality: Design and optimize scalable backend systems and high-performance frontend applications, ensuring security, performance, and maintainability. Write clean, well-documented code and participate in code reviews to ensure quality, and reliability. * Problem-Solving & Troubleshooting: Identify, analyze, and resolve technical issues in development and production environments, and proactively improve existing systems where needed. * Collaboration and Teamwork: Work closely with your TL, PM, and peers to align on priorities, surface blockers early, and collaborate on design and problem-solving. Contribute to technical design discussions and propose solutions. * Requirement Understanding & Implementation: Work closely with the PM and TL to understand product requirements, user stories, and technical specifications. Translate these into practical and effective technical implementations. * Continuous Learning & AI-Driven Development: Maintain a strong dedication to continuous learning and professional development, staying current with industry trends, emerging technologies, and best practices. Actively explore, learn, and apply new AI capabilities and tools to enhance personal productivity, improve software development processes, and contribute to innovative solutions. Embrace and experiment with AI-powered development practices within the team.Research and evaluate new technologies or approaches to solve technical challenges. * Documentation: Create and maintain clear, concise technical documentation for code, system designs, and processes to facilitate understanding and onboarding for current and future team members. Qualifications: skills, abilities, and experience * Experience * Minimum 5 years of experience writing excellent, standards-compliant code. Demonstrated ability to independently design, build, and maintain production-grade software systems. * Experience working on the engineering team in a start-up, scale-up or product-driven company * Experience designing and evolving backend systems that operate reliably under increasing load. * Strong experience writing high-quality, maintainable, standards-compliant code in production systems. * Strong understanding and experience with building and consuming API-driven solutions. * Demonstrable experience with Agile or Scrum software development methodologies. * Specific Technology Focus * Mastery of Python and Django and strong skills in TypeScript and React. * Experience with database technologies, cloud platforms (e.g., AWS, Azure, GCP), and API design principles. * Strong analytical and problem-solving abilities, with a methodical approach to debugging and issue resolution. Soft Skills: * Strong communication skills, high integrity, and great attention to detail. * An entrepreneurial spirit with the ability to adapt and grow quickly as the organization scales. Nice to have: * Experience with generative AI tooling (Stable Diffusion, ComfyUI) or creative platforms (p5.js, Three.js). Education: * A minimum of a Bachelor's degree in Computer Science, Information Technology, or a similar technical field. WHY US? Why Join Us: Impact: Help redefine AI-driven content creation for the world’s biggest brands. Innovation: Work with cutting-edge AI models and push the boundaries of generative visuals. Fast-Paced Execution: We move quickly, iterate rapidly, and work closely with customers to build what they need. Growth: Join a high-caliber, fast-scaling startup with huge opportunities for career advancement. Culture: Be part of a passionate, collaborative team that values creativity, problem-solving, and technical excellence.

NexGen Cloud

HPC CLUSTER ARCHITECT Location: UK (Remote) Department: Infrastructure Reporting to: Head of Infrastructure ABOUT NEXGEN CLOUD: NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world's most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature. We're a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practice what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like. THE ROLE: HPC CLUSTER ARCHITECT This role exists because NexGen Cloud is winning large-scale dedicated GPU cluster contracts and needs someone who can own the full architecture cycle — from first customer conversation to production deployment. You'll have direct ownership over cluster architecture across compute, networking, storage, and physical design — translating customer requirements into production-ready, commercially optimised GPU deployments. This is a senior hands-on role for someone who has lived and breathed HPC cluster design and wants to be the technical authority, not one voice in a committee. You'll own designs end-to-end and see them go live. WHAT YOU'LL BE DOING: Rather than a long checklist, here's what success in this role looks like: * Own end-to-end cluster architecture for large-scale NVIDIA GPU deployments — from customer requirement through rack layouts, BOM, power and cooling design, to production handover * Design high-performance network fabrics across compute (InfiniBand, RDMA, NVLink/NVSwitch), storage, and WAN — defining topology, oversubscription models, and scaling strategies * Engage directly with OEMs and vendors — validating hardware configurations, reviewing quotes, and ensuring designs are both technically sound and commercially optimised * Provide technical oversight during deployment and bring-up — supporting hardware validation, performance testing, and acting as escalation point for complex integration issues * Act as a senior technical leader across Solutions Architecture, Cloud Engineering, and data centre partners — contributing to standardised reference designs and building out the HPC engineering function ABOUT YOU: We're more interested in how you think and work than in a perfect CV. You'll likely bring a combination of the following: * Proven experience in HPC or AI software stack design and delivery at scale — including workload profiling, scheduler configuration (SLURM, PBS, or equivalent), MPI/NCCL tuning, and distributed training frameworks such as PyTorch, JAX, or DeepSpeed. * Deep understanding of GPU software environments: CUDA, cuDNN, NCCL, driver stacks, and the tooling required to run large-scale AI training and inference workloads reliably in production. * Hands-on experience optimising AI and HPC workloads across multi-GPU and multi-node configurations — including profiling, bottleneck identification, and performance tuning at both the application and infrastructure layer. * Strong working knowledge of containerisation and orchestration in HPC/AI contexts: Docker, Kubernetes, NVIDIA GPU Operator, and container-native workload management. * Background in an OEM, hyperscaler, neo-cloud, or enterprise/research HPC environment, with demonstrable exposure to the full design-to-deployment lifecycle for GPU-accelerated workloads. * Ability to produce clear, professional technical documentation and architecture diagrams suitable for both engineering and board-level audiences. * Confident engaging with customers, vendors, and internal engineering teams as a technical authority — able to translate complex software and performance trade-offs into clear, actionable decisions. Nice to Have * Experience with large-scale cluster performance benchmarking — NCCL tests, MLPerf, or equivalent — and familiarity with what good looks like across different GPU generations and topologies. * Exposure to MLOps tooling and AI platform layers: experiment tracking (MLflow, W&B), model serving frameworks (Triton, vLLM), and pipeline orchestration (Kubeflow, Airflow). * Familiarity with InfiniBand and high-performance networking as it relates to distributed training performance — sufficient to engage credibly with network and infrastructure teams on topology and tuning decisions. WHAT WE OFFER: * Competitive salary and annual discretionary bonus scheme * Employee wellbeing benefits * 25 days of holiday, plus public holidays * Flexible working arrangements (remote or hybrid, depending on role and location) * Real ownership and autonomy, with the trust to take initiative and experiment * The opportunity to make a visible, meaningful impact as we scale * Clear career progression and growth opportunities in a fast-growing company * A collaborative, international culture built on trust, transparency, and ownership * The chance to help shape NexGen Cloud's team, culture, and future alongside ambitious, mission-driven colleagues MORE INFORMATION Head over to our NexGen Cloud careers page to view current openings and follow us on LinkedIn and X to learn more about our journey, newest releases and hear exciting news in the neocloud space.

NexGen Cloud

Presales Engineer – AI Cloud Infrastructure Location: London, UK (Hybrid) Department: Sales Reporting to: Sales Leadership, Hyperstack ABOUT NEXGEN CLOUD: NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world's most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature. We're a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practice what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like. THE ROLE: PRESALES ENGINEER – AI CLOUD INFRASTRUCTURE This role exists because as Hyperstack's commercial pipeline scales, the technical complexity of what we're selling demands dedicated presales capability. You'll act as the bridge between prospective customers, the sales organisation, and internal engineering — owning technical discovery, solution architecture, and the depth of conversation that turns qualified opportunities into wins. You'll have direct ownership over how customers understand and evaluate Hyperstack's platform for their AI workloads. This is a role for someone who is equally comfortable in a deep technical architecture discussion and a boardroom — and who gets satisfaction from being the reason a deal closes. WHAT YOU'LL BE DOING: Rather than a long checklist, here's what success in this role looks like: * Work closely with sales and business development to translate customer use cases and requirements into practical GPU cloud solutions — leading technical discovery sessions and architecture discussions focused on AI and HPC workloads * Deliver product demonstrations, technical presentations, and workshops for prospects, partners, and customers — communicating complex solutions clearly to both technical and business stakeholders * Develop technical sales assets — solution briefs, battle cards, and technical documentation — that sharpen commercial team performance and improve conversion * Represent Hyperstack at technical meetups, webinars, and industry events, showcasing our AI infrastructure capabilities to relevant audiences * Deliver internal enablement sessions to keep sales and marketing teams current on product capabilities, technical value, and AI infrastructure trends * Work closely with Product and Engineering to feed market insight back into roadmap development, and ensure smooth handover from presales engagement into customer onboarding ABOUT YOU: We're more interested in how you think and work than in a perfect CV. You'll likely bring a combination of the following: ESSENTIAL * Minimum 5 years' experience in presales, solutions engineering, or technical consultancy * Background in data centre infrastructure, cloud platforms, or AI infrastructure environments * Strong understanding of AI workloads, model training pipelines, and inference environments * Knowledge of networking, cloud orchestration, virtualisation, and GPU provisioning technologies * Ability to translate complex technical topics into clear business value — confident engaging both engineering teams and commercial stakeholders * Strong presentation and communication skills, with a proactive, solutions-oriented approach NICE TO HAVE * Experience supporting NVIDIA-based AI or GPU infrastructure solutions * Exposure to GPU cloud platforms or HPC environments * Understanding of AI platform architecture and large-scale compute environments * NVIDIA certifications or equivalent AI/GPU infrastructure certifications WHAT WE OFFER: * Competitive salary and annual discretionary bonus scheme * Employee wellbeing benefits * 25 days of holiday, plus public holidays * Flexible working arrangements (remote or hybrid, depending on role and location) * Real ownership and autonomy, with the trust to take initiative and experiment * The opportunity to make a visible, meaningful impact as we scale * Clear career progression and growth opportunities in a fast-growing company * A collaborative, international culture built on trust, transparency, and ownership * The chance to help shape NexGen Cloud's team, culture, and future alongside ambitious, mission-driven colleagues MORE INFORMATION Head over to our NexGen Cloud careers page to view current openings and follow us on LinkedIn and X to learn more about our journey, newest releases and hear exciting news in the neocloud space.