Strategic Technical Account Manager GPU at Jobgether in undefined

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Strategic Technical Account Manager GPU in United States.

This role sits at the intersection of advanced GPU infrastructure, AI/ML workloads, and strategic customer success, supporting organizations building large-scale AI systems. You will act as a trusted technical advisor for customers deploying GPU-intensive workloads such as LLM training, fine-tuning, inference, and distributed AI pipelines. The position blends deep technical expertise with customer-facing leadership, ensuring that high-performance computing environments are optimized for scalability, cost efficiency, and reliability. You will work closely with AI labs, startups, and enterprise teams to design architectures, resolve performance challenges, and guide long-term infrastructure strategy. The environment is highly technical and fast-paced, requiring strong fluency in GPU systems, cloud infrastructure, and AI frameworks. This is a high-impact role where your guidance directly influences how customers build and scale modern AI systems.

Accountabilities

You will serve as the primary technical partner for GPU-focused customers, guiding them through architecture design, onboarding, optimization, and long-term scaling of complex AI workloads.

Lead onboarding and deployment of GPU clusters across bare metal, virtualized, and hybrid environments
Design and advise on GPU architecture, including multi-GPU topology, networking (RDMA, Infiniband, RoCE), and storage requirements
Support customers using distributed AI frameworks such as PyTorch, TensorFlow, DeepSpeed, JAX, Ray, and HuggingFace
Optimize performance across training and inference workloads, identifying bottlenecks and improving efficiency and cost structure
Act as the long-term technical owner for key accounts, leading roadmap discussions, capacity planning, and scaling strategy
Manage technical escalations and coordinate with internal engineering, support, and infrastructure teams to resolve critical incidents
Provide architecture guidance and support sales teams with technical validation for expansions and upgrades
Gather and relay structured customer feedback to influence product development and future GPU platform improvements

Requirements

You bring strong hands-on experience in AI/ML infrastructure, GPU systems, and customer-facing technical roles, with the ability to bridge deep engineering and strategic advisory work.

2–5+ years of experience in AI/ML engineering, MLOps, solutions engineering, HPC, or technical account management roles
Strong understanding of GPU architectures (NVIDIA/AMD), CUDA/ROCm, and distributed training systems
Experience with AI/ML frameworks such as PyTorch, TensorFlow, or similar distributed compute tools
Knowledge of Linux systems, networking technologies (Infiniband, RoCE), and performance tuning
Experience with high-performance storage systems and data-intensive AI workloads
Ability to design scalable infrastructure for training, inference, and large-scale AI pipelines
Strong communication skills, able to translate complex technical topics for both engineers and executive stakeholders
Experience working with hyperscalers, AI labs, or large-scale compute environments is a strong plus
Kubernetes certification (CKA) or similar cloud-native expertise is a plus

Benefits

Competitive salary range: $115,000 – $140,000 (based on experience and location)
Comprehensive health coverage with medical, dental, and vision plans
401(k) plan with employer matching and immediate vesting
Paid time off, holidays, and structured PTO growth with tenure
Sabbatical program and additional anniversary-based rewards
Remote work support including home office stipend and internet reimbursement
Wellness benefits including gym reimbursement and wellness platform access
Professional development budget for learning and certifications
Inclusive, global work environment focused on innovation in AI infrastructure

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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