AI HPC Pre-Sales Systems Engineer
Pure StorageLocation not specified
Full Time
Posted February 24, 2026
$152k - $244k
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Job Description
This role involves leading technical sales and solution development for AI and HPC systems, providing expert guidance on storage, compute, and networking architectures, and driving business growth through customer engagement and technical leadership in the data storage industry.
Key Responsibilities
- Develop and lead Everpure's AI and HPC business, providing guidance and support for sales opportunities and partnerships.
- Partner with account managers, specialists, and channel partners to create strategies that drive revenue growth and new business.
- Understand 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 needs into innovative storage and compute solutions to accelerate growth and capacity.
- Contribute to and lead responses to RFPs, RFQs, and RFIs.
- Promote interoperability, performance testing, and validation opportunities.
- Produce marketing materials and stay current with industry trends and competitive landscape.
- Provide post-sales technical support and enablement to customers.
- Collaborate with sales and technical teams to gather feedback and align strategies.
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 Cloud Native architecture, including On-Premises, Public Cloud, Provisioning Automation, and Containers
- Proficiency with Linux, NFS file systems, and Linux distributed network environment
- Experience with installation and configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
- Familiarity with AWS, Azure, GCP is a plus
- 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 at a technical level for AI and HPC domains and 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 USD, potentially including incentive pay and equity
Flexible time off
Wellness resources
Company-sponsored team events
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