DDN · 1 week ago
Customer Success Services Engineer
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Artificial Intelligence (AI)Big Data
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Responsibilities
Serve as the technical point of contact for DDN's high-priority customers, ensuring swift installation and system stabilization.
Proactively work on a variety of system issues, not limited to storage, to prevent and resolve escalations.
Directly engage with customer technical leads to foster excellent communication, avoiding any potential setbacks.
Utilize DDN's comprehensive toolset for diagnosing and resolving issues across networking, applications, computing, and storage.
Conduct thorough analyses using networking diagnostics, log evaluations, and DDN's SIA (Storage Intelligent Analytics).
Efficiently identify, document, and escalate bugs to the relevant engineering teams within DDN.
Interface across Engineering groups to implement new features for reliability and ease of use
Collaborate with engineering and product management to secure appropriate prioritization of issues.
Develop and maintain best practice documentation and tools.
Develop tools and interfaces to better integrate DDN data into customer environments.
Organize knowledge resources to empower the wider DDN support team, enhancing their capabilities to resolve issues swiftly.
Physically install hardware at a customer site. Supervise 'smart hands' to do so if appropriate either on site or remotely.
Remotely or on site, install, configure and tune software as required.
Provide technical training for customer systems and prepare reports and other required customer documentation.
Manage customer technical relationship to ensure the highest calibre customer satisfaction.
The role includes travel to customer sites in APAC (this is usually at most 1 week per month).
Qualification
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Required
Must communicate (oral & written) fluently in Mandarin and English. (Singapore)
This role requires at least 5 years of hands-on experience with AI/HPC system design, planning, implementation, managing & troubleshooting.
This role requires at least 2 years of Linux Systems Administrator experience, preferably in AI/HPC environment.
BSc or higher degree in Electrical Engineering, Computer Science, Mathematics, Sciences; or equivalent
Preferred
Preferred experience with InfiniBand or NVIDIA based Ethernet networking.
Preferred experience with Parallel file system Administration, such as Lustre, Spectrum Scale, BeeGFS, WekaFS.
Preferred experience with Prometheus, Grafana & other monitoring & Log collection tools.
Preferred experience with Kubernetes and container management frameworks such as Docker or Apptainer (formerly Singularity).
Company
DDN
DDN is the world’s leading data intelligence platform that reliably accelerates massive data sets across AI and HPC workloads from edge to core to cloud.
Funding
Current Stage
Late StageTotal Funding
$9.9M2002-01-02Series A· $9.9M
Recent News
2024-11-19
2024-11-06
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