AI/ML Forward Deployment Engineering

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THE ROLE:

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.

THE PERSON:

This position is for a The Principal Engineer - DC GPU AI/ML Advanced Forward Deployment and Systems Engineering s Engineering with a focus on architecture, design, optimizing the compute, network, and storage; benchmarking the Machine Learning applications. You will be part of a team closely work with strategic customers and partners to enable large scale deployment of AMD CPU and GPU platforms. You will closely interface with ROCm software developers, DC GPU HW/FW/ASIC Teams, Field Engineering Teams, OEM/ODM partners, CSPs, and Marketing/Business Development teams. Must be self-motivated and possess the ability to work well within a team environment.

KEY RESPONSIBILITIES:

• 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

PREFERRED EXPERIENCE:

• 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.
• Prefer candidates with 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, unless accompanied by other skill sets in the space.
• 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.

• This is a Senior level role; no recent college graduates will be considered.

ACADEMIC CREDENTIALS:

• Bachelors, masters 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.

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