HPC Solutions Engineer - London Hybrid
As a Solutions Engineer specializing in Generative AI, you will work within the Customer Experience team while closely aligning with Sales to engage customers, qualify opportunities, and drive successful sales conversions.
Your role involves understanding client needs, demonstrating our clients AI and GPU solutions and providing technical guidance throughout the sales process. The primary focus of the role is solution design, customer engagement, and technical enablement in the AI/ML space, with occasional hands-on technical support as needed.
Key Responsibilities
* Customer Engagement – Collaborate with Sales to identify technical requirements related to Gen AI, LLMs, and HPC. Act as a trusted advisor by aligning solutions with strategic business goals and addressing customer pain points.
* Solution Presentations & PoCs – Develop and deliver compelling demos, presentations, and Proof-ofConcepts (PoCs) tailored to customer needs
* Technical Expertise – Maintain knowledge of Gen AI frameworks (e.g., PyTorch, TensorFlow), and HPC orchestration tools (e.g., Kubernetes), and GPU virtualization to provide informed guidance.
* Support & Communication – Collaborate with the Customer Experience team to respond to technical inquiries, ensure smooth PoC handovers, and expedite the resolution of VIP customer issues.
* Proposal & Competitive Analysis – Contribute to RFP responses and technical documentation with a focus on our clients differentiators in Gen AI and HPC, while monitoring market trends to outpace competition.
* Internal Collaboration – Collaborate with Engineering, Product, and Marketing to refine solutions and messaging based on evolving customer and market needs.
* Training & Events – Conduct internal training sessions on (Gen) AI and HPC, and represent our client at industry events.
Key Technologies
* Generative AI & LLMs (Model fine-tuning, inference optimization)
* GPU Virtualization & HPC (GPU Passthrough, HPC networking with RDMA/SR-IOV, cluster orchestration with Kubernetes/SLURM)
* NVIDIA Software Stack (CUDA, NCCL, NGC)
* Optional Cloud & Hybrid Environments (OpenStack as a plus, not a core requirement)
Qualification
* Experience in pre-sales, solutions engineering, or technical sales with a strong AI/ML focus.
* Expertise in (Gen) AI, LLM architectures, and GPU-accelerated computing.
* Excellent communication, problem-solving, and customer-facing skills.
* Ability to work in a fast-paced, dynamic environment