The Position

NMCb2 is seeking a Solutions Architect to serve our most strategic HPC and cloud customers. You will be a trusted technical advisor, helping clients design, deploy, and scale compute-intensive workloads from large-scale AI/ML training and inference to advanced scientific simulations and data-driven research. You will sit at the intersection of engineering, sales, and product acting as the voice of the customer internally and the face of NMCb2s technical capability externally. This is a high-impact role for someone who thrives on solving hard problems and building lasting partnerships.

Responsibilities:

• Serve as the primary technical point of contact for key and strategic customers, troubleshooting complex HPC, cloud, and AI/ML challenges.
• Guide customers in optimising compute performance for ML training, inference, and simulation workloads, ensuring seamless integration and scalability on the NMCb2 platform.
• Partner with the sales team to identify growth opportunities, promote new platform capabilities, and deliver compelling technical presentations and demos.
• Act as a bridge between customers and the NMCb2 product team relaying feedback, surfacing feature requests, and ensuring the roadmap reflects real customer needs.
• Engage with internal and external stakeholders to negotiate solutions, drive alignment, and remove blockers for strategic accounts.
• Contribute to the development of technical documentation, reference architectures, and best practice guides for the NMCb2 ecosystem.

Requirements:

• 5+ years in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud and HPC environments.
• Proficiency with Infrastructure as Code tools such as Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU and HPC computing, including ML training, inference workloads, and relevant stacks (e.g. CUDA, OpenCL, MPI).
• A customer-first mindset with a proven ability to build trust and foster long-term technical relationships.
• The ability to explain complex technical concepts clearly to both technical and non-technical audiences.

Preferred:

• Hands-on experience with HPC and ML orchestration frameworks (e.g. Slurm, Kubeflow, MPI).
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Familiarity with tools and services from major cloud providers (AWS, Azure, GCP) and hardware vendors like NVIDIA.
• Strong project management skills with the ability to prioritise and deliver across multiple accounts.
• Experience mentoring technical teams and contributing to team growth.
• A track record of stakeholder negotiation and cross-functional collaboration.

It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Companyb4s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Benefits & Perks:

• Company-Paid Lunch Stipend: Lunch is provided via GrubHub

• Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability

• 401(k): Company will match 100% of your contributions up to 6%

• Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more.

• Time Off: 25 days of Paid Time Off plus 12 company holidays