Job Description

One of the fastest-growing companies in high performance compute is building a new Solutions Architecture group. And they are looking for a Manager who can help define what next-generation compute looks like.

As the Manager of HPC Solutions Architecture, you will lead a team of specialists across compute, storage, networking, Kubernetes, security, and systems integration. Your team works directly with customers to design secure, scalable, high-performance solutions tailored to their workloads.

You’ll guide the full customer lifecycle, from early discovery and architecture design to proofs-of-concept, deployment, and ongoing optimization. Your work ensures customers see real value and can scale as their needs grow.

You’ll also act as a strategic advisor, building strong customer relationships and aligning solutions to technical and business goals. Internally, you’ll partner with product and engineering to turn field insights into reference architectures, reusable patterns, and platform improvements.

Responsibilities:

• Develop a team of Solutions Architects across compute, storage, Kubernetes, networking, security, and systems integration
• Act as the link between customers, your team, and engineering.
• Oversee the creation of reference architectures and design blueprints to ensure repeatable, scalable solutions.
• Guide POC initiatives, validating solution performance and accelerating customer confidence in adoption.
• Recommend strategic design choices across compute, storage, networking, data pipelines, and security for customer-specific workloads.
• Encourage prototyping of new architectural approaches for emerging HPC and AI/ML workloads
• Ensure the team maintains high-quality documentation, reusable patterns, and best practices for consistent delivery.

Required Skills:

• 10+ years of experience in HPC, Solutions Architecture, and/or large-scale systems design.
• 3+ years of technical team leadership (managing architects/engineers across domains).
• Proven leadership experience managing multi-disciplinary architecture or engineering teams within HPC, cloud, or large-scale distributed systems.
• Hands-on understanding of HPC technologies, including GPU acceleration (CUDA, NVIDIA ecosystem), workload schedulers (Armada, Slurm, Kubernetes), and distributed storage (VAST, Lustre, GPFS, object stores).
• Experience designing secure and compliant architectures, covering identity management, encryption, and regulatory frameworks.
• Proven success in customer-facing communication and engagement, with the ability to capture detailed technical requirements and translate them into tailored, scalable HPC system designs.
• Skilled at articulating complex solutions across AI/ML, scientific computing, simulation, and data-intensive workloads to both technical stakeholders and executive audiences.

Required Skills:

• Experience wtih HPC or AI/ML workloads at scale, with a focus on performance, optimization, and lifecycle management.
• Familiarity with data and analytics platforms (Kafka, Spark, or similar) integrated with HPC workflows.
• Knowledge of automation and DevOps practices, including CI/CD (GitLab, Jenkins) and infrastructure-as-code (Terraform, Ansible).
• Background in customer-facing engagements, such as leading workshops, technical reviews, or industry presentations.
• Awareness of emerging compute technologies (next-gen GPUs, interconnects like InfiniBand/RDMA, and container runtimes for HPC).
• Advanced degree in Computer Science, Engineering, Physics, or related technical field.

This role will require, relocation to Dallas, TX. Relocation package available for the right candidates.

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