This role pays more than
57%
of similar roles. Most pay
$183,937–$244,500
— the shaded band above.
At the midpoint, this role pays about
$223k
versus about
$214k
for comparable roles.
Based on 240 similar postings.
Employer
About HP Inc.
HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.
HP Inc. currently has
104 open roles
on FindRole.
Listed pay typically runs
$130,700–$205,200
across 90 roles with salary data.
High Performance Workstation Business Development Manager- AMD serves as a customer-facing expert on the HPI Advanced Compute Solutions team, focusing on growing the high-performance workstation market within the AI PC space. This role involves engaging with strategic customers and partners to identify technical needs, develop customized solutions, and provide guidance through proof of concepts and training. You will act as an AMD ambassador, creating TCO models, developing whitepapers, and providing product feedback to engineering teams. The position requires expertise in PC systems microprocessors, specifically Advanced Micro Devices platforms, alongside a deep understanding of AI and machine learning applications. Key competencies include technical writing, public speaking, and the ability to translate complex hardware and software capabilities into clear value propositions for decision-makers while navigating the complexities of large public procurements and co-design engagements.
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architecture
GPU
Machine Learning
Artificial Intelligence
High-Performance Computing
Large Language Models
Cloud Computing
Training
Inference
Data Center
Computing Architecture
Accelerated Computing
GPU
Large Language Models
Machine Learning
Artificial Intelligence
High-Performance Computing
Cloud Computing
Datacenter Workloads
Training and Inference
Computing Architectures