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Sr. Engineer - Performance AI/ML Network Deployment Engineering

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AMD

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Location:
United States , Santa Clara

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

187280.00 - 280920.00 USD / Year
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Job Description:

The Principal Engineer DC GPU AI/ML Advanced Forward Deployment and Systems Engineering is a leadership position designed to optimize the design, roll-out and post-rollout management of AI/ML Fabrics. The candidate will be the technical interface between the customers and various internal engineering groups, field application engineers Leveraging extensive experience in large network architecture, Storage, AI/ML network deployments, and performance tuning, this role requires a disciplined approach to system triage, at-scale debug, and infrastructure optimization to ensure robust performance and efficient transitions from GPU production qualification to at-scale datacenter deployment.

Job Responsibility:

  • Collaborate with strategic customers on scalable designs involving compute, networking, storage environment, work with industry partners, Internal teams to accelerate the deployment, adoption of various AI/ML models
  • Engage system-level triage and at-scale debug of complex issues across hardware, firmware, and software, ensuring rapid resolution and system reliability
  • Drive the ramp of Instinct-based large scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster level, leveraging the best in network architecture for AI/ML workloads
  • Enhance tools and methodologies for large-scale deployments to meet customer uptime goals and exceed performance expectations
  • Engage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins
  • Provide domain specific knowledge to other groups at AMD, share the lessons learnt to drive continuous improvement
  • Engage with AMD product groups to drive resolution of application and customer issues
  • Develop and present training materials to internal audiences, at customer venues, and at industry conferences

Requirements:

  • Expertise in networking and performance optimization for large-scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence, scalability improvements
  • Solid, hands-on expertise in at least one or more of 3 domains, namely compute, network, storage
  • Demonstrated leadership in network architecture, hands on experience in RoCEv2 Design, VXLAN-EVPN, BGP, and Lossless Fabrics
  • Deep experience in working with large customers such as Cloud Service Providers and global enterprise customers
  • Proven leadership in engaging customers with diverse technical disciplines in avenues such as Proof of Concept, Competitive evaluations, Early Field Trials etc.
  • Direct experience in working with large customers and can operate with sense of urgency, own the problems and resolve it
  • Extensive experience in Python, Linux, Kernel modules, Application libraries
  • Proven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends
  • Extensive hands-on Network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista Experience is required
  • Direct, co-development/deployment experience in working with strategic customers/partners in bringing solutions to market
  • Excellent communication level from engineer to mid-management to C-level of audience
  • Bachelors, master's in computer science, Engineering or related subjects of experience
  • Ability to work well in a geographically dispersed team
  • Certifications in Networking, AI/ML, or Cloud Technologies

Additional Information:

Job Posted:
March 04, 2026

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