AI HPC Systems Engineer, Singapore
Pure StorageSingapore, Singapore
Full Time
Posted January 25, 2025
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Job Description
The job involves working as a System Engineer in Pure Storage's AI and HPC Systems Engineering team, focusing on developing and leading AI and HPC business initiatives, providing technical sales support, and enhancing the knowledge of account teams and partners in these areas.
Key Responsibilities
- Partner with account managers and channel partners to drive revenue growth and new business.
- Develop a comprehensive understanding of customer business drivers and decision-making processes.
- Create customer-facing content for AI and HPC opportunities.
- Advise leadership on methodologies and strategies to enhance AI and HPC knowledge.
- Participate in customer-facing calls, demos, POCs, and internal strategy sessions.
- Connect technology solutions to measurable customer business outcomes.
- Refine sales strategy and technical responsibilities.
- Capture customer requirements and translate them into innovative solutions.
- Lead responses to RFPs, RFQs, and RFIs.
- Promote interoperability and performance testing validation.
- Liaise with product and technical marketing to produce supporting materials.
- Stay current with competition and market trends.
- Provide post-sales assistance with expert knowledge of solutions.
- Collaborate with Sales SE Leaders for feedback and communication.
- Communicate and align with internal teams across Pure Storage.
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 in APJ and converting them into clients
- Strong acumen in the Datacenter space with deep interest and vision for the industry, including knowledge of the landscape and Pure's solutions
- 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 including GPU, ASIC, and FPGA
- Understanding of AI and HPC orchestration and management layers such as Kubernetes, slurm, vertex, and 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, On-Prem, Public Cloud, Provisioning Automation, and Containers
- Experience with Linux, NFS file systems, and Linux distributed network environment
- Experience in installation and configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, and windowing systems
- Proficiency with CRM and opportunity management systems, preferably Salesforce.com
- Ability to travel throughout the territories as required
Benefits & Perks
Compensation/salary range
Flexible time off
Wellness resources
Company-sponsored team events
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