The Distinguished Member of Technical Staff (DMTS) for ITP AI is a hands-on technical architect and execution leader in Artificial Intelligence, accountable for turning AI priorities into production-grade solutions to accelerate technology development, silicon design, and engineering execution.
Responsibilities
Partner with SMEs across ITP to understand engineering workflows, data, and constraints, and translate them into scalable, implementable AI architectures.
Define technical designs, solution blueprints, and implementation plans that move AI use cases from concept to production.
Lead hands-on technical execution, including architecture reviews, build decisions, and deployment readiness.
Establish reusable architecture patterns, platforms, and standards that accelerate delivery across ITP.
Translate the ITP AI roadmap into concrete quarterly deliverables with clear milestones, owners, and success criteria.
Requirements
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, Applied Mathematics, or related field
Distinguished Member of Technical Staff for ITP AI, responsible for architecting and delivering AI solutions across Micron’s Innovation, Technology and Products division.
Responsibilities
Partner with SMEs across ITP to understand engineering workflows, data, and constraints, and translate them into scalable, implementable AI architectures.
Define technical designs, solution blueprints, and implementation plans that move AI use cases from concept to production.
Lead hands‑on technical execution, including architecture reviews, build decisions, integration, and deployment readiness.
Establish reusable architecture patterns, platforms, and standards that accelerate delivery across ITP.
Translate the ITP AI roadmap into concrete quarterly deliverables with clear milestones, owners, and success criteria.
Requirements
MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, Applied Mathematics, or related field
Nice to have: Publications, patents, open‑source contributions, or industry recognition
Nice to have: Experience applying AI within semiconductor technology, EDA, manufacturing, product development, scientific computing, or high‑performance computing environments
Nice to have: Demonstrated success creating and scaling enterprise AI platforms and capabilities
Nice to have: Experience leading AI transformation efforts within global organizations
Lead Echelon’s infrastructure partnerships and build the business around them, hiring and managing a team, structuring deals, and driving AI data centre capacity projects.
Compensation
A base salary with housing, transport and education allowances, medical cover, and equity through the employee equity programme.
Design and deploy large-scale HPC and GPU infrastructure and architect scalable AI solutions on OCI, serving as a technical advisor for enterprise customers.
Responsibilities
Design and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI)
Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform, Ansible) and Kubernetes.
Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management.
Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements.
Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through production.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline
Nice to have: Experience with Oracle Cloud Infrastructure (OCI)
Nice to have: Experience with large GPU clusters based on Kubernetes and/or Slurm
Nice to have: Experience supporting AI startups, research organisations, or enterprise AI programmes
Nice to have: Oracle Cloud certifications or equivalent cloud certifications (AWS, Azure, or Google Cloud)
Build and maintain the technical platform for a Series B education technology company, focusing on Flutter mobile app, AI and agent infrastructure, developer experience, and backend services.
Compensation
Base salary: €80,000 to €110,000 annually. Visa sponsorship is not available.
Responsibilities
Own core parts of the Flutter app, including shared components, design systems, state management, performance, and tooling
Build AI and agent infrastructure, including MCP servers, background agent capabilities, evaluations, and feedback loops
Integrate agentic coding tools into everyday engineering workflows
Improve CI/CD, release tooling, and the feedback loop from code changes to production
Ship user-facing features alongside platform work and keep shared foundations dependable for other engineers
Lead AI infrastructure and security initiatives across the company’s compliance platform and Agentic Suite, managing a small engineering team and driving AI-native R&D transformation.
Responsibilities
Own the company’s AI infrastructure—model access, tooling, evaluation, cost/performance tradeoffs—across all engineering teams
Drive AI-native R&D transformation by integrating agentic development practices into day-to-day engineering workflows
Own AI-related security posture, including data handling, model/tool access control, and secure use of third-party AI services
Serve as the go-to technical authority for other teams adopting AI tooling or agentic patterns
Lead a small team (2‑5 engineers) building and maintaining shared AI infra and tooling
Requirements
Nice to have: Experience in a regulated or compliance-heavy environment
Nice to have: Background with agent frameworks (LangGraph or similar)
The Inside Solution Engineer provides remote technical support to HP's field Solution Engineers, helping them validate solutions, resolve technical issues, and advance customer engagements.
Compensation
The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only).
Responsibilities
Provide remote technical assistance with solution design, product capabilities, configurations, compatibility, and deployment considerations for Edge AI and Advanced Compute engagements.
Support demonstrations, proofs of concept, pilots, and deployment readiness through lab preparation, configuration reviews, technical validation, and troubleshooting.
Develop technical responses, configuration guidance, bills of materials, and supporting documentation in partnership with field Solution Engineers.
Triage field issues based on customer impact, urgency, and deployment risk; gather environment details, logs, configurations, reproduction steps, and expected behavior.
Reproduce and isolate hardware, firmware, driver, operating system, application, networking, and integration issues in lab environments.
Requirements
Nice to have: HP compute platforms
Nice to have: enterprise support processes
Nice to have: product engineering collaboration
Skills
Senior Product Marketing Manager, AI Infrastructure
Senior Product Marketing Manager focused on AI infrastructure solutions — from GPUs to rack-scale systems to AI factories.
Compensation
The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 5; and 224,000 USD – 356,500 USD for Level 6.
Responsibilities
Product marketing and go-to-market launches across NVIDIA’s AI infrastructure portfolio — data center GPUs, rack-scale systems, and full AI factory reference designs.
Building positioning that connects silicon to system to data center outcomes.
Telling the full-stack story: how extreme co-design across compute, networking, memory, power, cooling and software produces results.
Working with NVIDIA Engineering, Sales, Creative and Product Management teams to build web content, launch materials, keynote content and marketing assets.
Engaging with engineering teams to understand technical details and identify the key value propositions.
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