AI HPC Pre-Sales Systems Engineer
Pure StorageLocation not specified
Full Time
Posted December 18, 2025
$152k - $244k
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Job Description
This role involves leading technical sales and solutions engineering for AI and HPC storage systems, focusing on developing customer relationships, providing technical guidance, and driving revenue growth through innovative storage and compute solutions in a data center environment.
Key Responsibilities
- Partner with account managers, specialists, and channel partners to create customer strategies that drive revenue and new business opportunities.
- Develop an understanding of customer business objectives and articulate how Pure's solutions align with their goals.
- Create customer-facing content such as technical walkthroughs, deep dives, and qualification guides for AI and HPC opportunities.
- Participate in customer calls, demos, proof of concepts, and internal strategy sessions to showcase solutions.
- Translate customer business needs into innovative storage and compute solutions to support growth and capacity.
- Contribute to and lead responses to RFPs, RFQs, and RFIs for AI and HPC solutions.
- Promote interoperability, performance testing, and validation of solutions.
- Develop and deliver technical marketing materials, including whitepapers and web presentations.
- Stay current with market trends, competition, and industry advancements in AI, HPC, and storage technologies.
- Provide post-sales technical support and expertise on solutions.
- Collaborate with sales and technical teams to gather feedback and improve solution positioning.
- Maintain technical knowledge of storage architectures, distributed systems, and cloud environments relevant to AI and HPC.
Requirements
- Bachelor's Degree in Computer Science or related field or equivalent experience
- 8 years of experience in the data center field, including hands-on experience designing, implementing, and maintaining comprehensive storage, networking, cloud, HPC, and AI architectures and standards
- Technical pre-sales experience is required
- Prior experience in targeting new prospects and converting them into clients
- Deep understanding of industry AI frameworks such as PyTorch, TensorFlow, Jax, etc.
- Deep understanding of high performance, low latency, highly parallelized compute solutions at scale including compute, network, and storage
- Deep understanding of accelerated compute environments such as GPU, ASIC, FPGA, etc.
- Understanding of AI and HPC orchestration and management layers such as Kubernetes, Slurm, Vertex, SageMaker
- Deep understanding of the convergence of HPC and AI infrastructure requirements and challenges
- Understanding of classic unstructured data applications and next-generation analytics and web frameworks
- Strong knowledge of digital transformation to a cloud-native architecture, including On-Premises, Public Cloud, Provisioning Automation, and Containers
- Familiarity with Linux, NFS file systems, and Linux distributed network environments
- Experience with installation and configuration of distributed computing, multiprocessing, virtual memory subsystems, storage subsystems architecture, shared memory architectures, cache architectures, and windowing systems
- Familiarity with cloud platforms such as AWS, Azure, GCP (preferred)
- Familiarity with containers, Kubernetes, and microservices architectures
- Self-motivated individual with an ownership mindset who drives the business to overachieve expectations
- Excellent oral and written communication skills with the ability to explain complex concepts simply
- Ability to articulate and understand customer strategy and Pure Storage’s solution strategy to a technical level of detail for AI and HPC domains
- Ability to teach systems engineers and account executives these concepts
- Strong technical and tactical problem-solving skills and experience with complex engineering designs
- Proficiency with CRM and opportunity management systems, preferably Salesforce.com
- Ability to travel throughout the territories as required
Benefits & Perks
Annual base salary range of $152,000 to $243,600, potentially including incentive pay and equity
Flexible time off
Wellness resources
Company-sponsored team events
Ready to Apply?
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