Distinguished Technologist, Deep Learning, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
United States, San Jose

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

164500.00 - 398500.00 USD / Year

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Job Description:

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a chance to make history and be a driving force in the industry. We are revolutionizing cloud computing by building a large-scale, enterprise-ready platform that powers a hybrid edge-to-cloud world. Our platform enables the world's largest and most diverse enterprise IT teams and managed service providers to control the chaos of modern digital infrastructure, and to deliver quickly, efficiently, and at scale while keeping their data secure and meeting sustainability goals. We do this through hybrid discovery and monitoring, event and incident management, remediation, and automation, powered by AI. We help our enterprise and MSP customers avoid costly outages and performance issues that result in lost revenue and productivity. With over 100,000 dedicated customers and 1 million devices in production, we are committed to accelerating transformation across data, connectivity, cloud, and security, providing essential solutions for businesses of all sizes. Together, we make the impossible possible, and we are confident in our ability to lead the way in shaping the future of cloud computing.

Job Responsibility:

Oversee build of OpsRamp’s CoPilot for Autonomous Operations for the Hybrid Cloud
Understand latest in GenAI/ML for ITOM
Understand cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud
Act as a cross-functional product and technical expert for GenAI within engineering with close working relationships with customers, product management, support, and marketing supporting edge-to-cloud services offering
Provides consultation, design input, and feedback for product development and design reviews across multiple organizations and architectures
Help transition proof-of-concept implementations into R&D teams to accelerate new product delivery
Creates technical content such as designs, specifications, and initial software implementations
Guides and mentors less-experienced staff members to set an example of software systems design and development innovation and excellence, helping to grow engineers into more senior technical roles
Collect product feedback from field interactions to provide input into Engineering and Product Management to influence product roadmap direction
Maintain a high level of knowledge of OpsRamp SaaS product and product road maps, as well as that of the competition and prospective strategic partners
Travel 10% to 25% of the time to attend face-to-face meetings and presentations

Requirements:

15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
At least 4 years of hands-on expertise in defining, building, training and / or optimizing foundational deep learning models at scale in PyTorch, HF and other ML frameworks and libraries
Experience and/or deep understanding in various deep learning architectures like CNNs, GNNs, Transformers, Reinforcement Learning etc. is a strong advantage
Strong hands-on experience/understanding in pre-training, fine-tuning, distilling, aligning open-source large language models and have them complement the in-house foundational models
Hands-on experience developing multi-agent applications around a mixture of in-house and open-source models while leveraging latest in RAG and Prompt Engineering tooling techniques
Strong customer focus and obsession with improving service availability/performance and user experience/consumption using measurable SRE metrics
Must have a track record of working alongside other engineering teams architecting, building, and deploying mission-critical, highly distributed, large-scale SaaS applications
Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing architecture
Effective technical leadership skills to influence diverse groups to move toward common goals/strategies
Ability to effectively communicate product architectures, design proposals and negotiate options at the most senior organizational levels within internal and external organizations
Flexible consultative skills to handle a diverse set of activities daily and adaptable to drive ever-changing priorities
Must be able to work in a global, complex, and diverse environment

Nice to have:

Cloud Architectures
Cross Domain Knowledge
Design Thinking
Development Fundamentals
DevOps
Distributed Computing
Microservices Fluency
Full Stack Development
Release Management
Security-First Mindset
User Experience (UX)

What we offer:

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Additional Information:

Job Posted:
April 23, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Distinguished Technologist, Deep Learning