AI Engineer for Storage Domain Job at Hewlett Packard Enterprise (Bangalore)

AI Lead Engineer

Lead Engineer role in HPE Hybrid Cloud focusing on AI innovation and technology ...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Experience designing and developing software systems design tools and languages in storage/server/networking area
Two or more years of experience in applying AI to practical and comprehensive technology solutions
Experience with ML, deep learning, TensorFlow, Python, NLP
Experience in program leadership, governance, and change enablement
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
Experience with innovation accelerators
Cloud Architectures
Cross Domain Knowledge
Design Thinking

Job Responsibility

Lead cross-functional teams in identifying and prioritizing key areas of a partner's business where AI solutions can drive significant business benefit
Design and develop solutions leveraging patterns in the data and metadata stored in Petabytes of Objects and Files in distributed fashion across enterprise storage platform
Design, develop, and deploy hybrid RAG architectures integrating LLMs with retrieval-based systems for improved relevance and contextual responses
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures
Translating technical AI findings into clear, business-oriented language for non-technical stakeholders
Implement and manage pipelines that effectively combine retrieval mechanisms with generative capabilities
Develop custom plugins, adapters, or APIs to integrate retrieval systems with generative models
Fine-tune and optimize large language models
Monitor and troubleshoot issues within pipelines
Evaluate and benchmark the performance of vector databases

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Engineering Director

We are seeking a seasoned Engineering Director who thrives in challenging and fa...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Significant work experience as a director or similar position working across multiple stakeholder organizations, with at least 10+ years of people leadership experience specific to SW and Cloud engineering
Solid experience leading SW development across storage, networking, on-prem, and SaaS is a must
Experience in setting up geographically distributed sites
Must have a strong background in software development lifecycle including cloud infrastructure
Familiarity with agile methodologies and tools like JIRA
Prior experience in cloud product development and deployments
end to end ownership and accountability
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Extensive business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains
Demonstrated abilities to drive transformation across a business with exceptional skills in the management of change

Job Responsibility

Oversee the Puerto Rico Site daily operations, strategic planning and cross-functional team leadership for Hybrid Cloud
Recruit, mentor, and manage teams of AI/ML engineers, QA Engineers, Design Engineers and innovation specialists to deliver cutting-edge solutions
Continuously evaluate new tools, platforms, and frameworks in AI/ML to drive competitive advantage and operational efficiency
Ensure alignment with corporate goals while fostering a high-performance culture, operational efficiency, and employee engagement
Lead the development and execution of AI/ML strategies that align with business goals and drive innovation across products, services, or operations
Create strategic and tactical operations and resource plans, goals, and priorities for assigned organization based on business and technology roadmap and functional objectives
Engage with various senior leaders across the organization, program managers, R&D, support, Quality, product managers, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making
Manage senior relationships and escalated issues with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs
ensures that organization is effectively leveraging outsourced resources
Identify opportunities for and drive organizational initiatives and programs to support business process improvements and cost reductions

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Director of Engineering, Data Path Development

We are seeking a seasoned Director of Engineering, Data Path Development to lead...

Location

United States

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven experience managing large, distributed engineering teams in storage & embedded systems development, or related field
Demonstrated ability to mentor, evaluate, and lead senior technical teams through complex development challenges and innovation cycles
Exceptional communication and stakeholder management skills, with the ability to collaborate across engineers, architects, and executive teams
Extensive technical experience in a variety of storage technologies such as NVMe, Zstandard, data virtualization, deduplication, compression, multithreading and defragmentation
Proficiency in Embedded C++ and Golang
Familiarity with AMD and Intel platforms
Bachelor’s degree in computer science or similar field
15 or more years of related work experience, including 10 years of people management experience

Job Responsibility

Provide technical oversight and guidance to ensure engineering excellence in areas such as data virtualization, deduplication, compression, and defragmentation
Validate and evaluate technical decisions made by the team to ensure correctness, longevity, and maintainability of solutions
Manage a diverse engineering organization, including multiple managers and a team of approximately 50 engineers
Foster an inclusive, collaborative, and high-performing team culture
Define and lead the architectural planning for next-generation storage platforms, ensuring alignment with emerging technologies and industry trends
Collaborate with senior technologists and stakeholders to maintain HPE’s competitive edge in the storage domain
Explore and implement AI-driven development practices, CI/CD pipelines, and automated code reviews to enhance team efficiency and product quality
Establish scalable processes for effective delivery and continuous learning within the team
Work closely with product management and other stakeholders to align technical objectives with business goals and customer needs
Advocate for customer-centric solutions while responding to evolving market demands

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Manager, Performance AI/ML Network Deployment Engineering

The Senior Manager, DC GPU Advanced Forward Deployment and Systems Engineering i...

Location

United States , Santa Clara

Salary:

210400.00 - 315600.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

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
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
Demonstrated leadership in network architecture, hands on experience in RoCEv2 Design, VXLAN-EVPN, BGP, and Lossless Fabrics
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 preferred
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

Job Responsibility

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

New

Software Engineer - AI SysML

Meta’s MSL Airstore team is seeking a Software Engineer to lead the development ...

Location

United States , Bellevue

Salary:

217000.00 USD / Year ▼

Senior Principal Technical Program Manager - ML Platform

Location

Salary:

231300.00 - 301975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas
Deep domain experience in AI and/or Search. Example: Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance, etc.
Partner with Engineering in defining direction, strategy and execution at Platform level
Strategic thinking and ability to understand business objectives to translate them into technical problems and programs.
Technical understanding of systems involved. Willingness to develop domain expertise in the area they operate - storage, networking, authentication, capacity management, service deployments, etc.
TPMs are not expected to write or read code, but are expected to understand system flows, block architectures, APIs and such.
Experience defining and running end-to-end complex technical programs
Strong leadership, organizational, and communication skills

Job Responsibility

Understand and stay up-to-date on latest innovations in AI and Search. Partner closely with engineering teams to translate these into practical platform evolution for Atlassian bringing value to our customers.
Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends, and based on these, in close collaboration with your stakeholders, define a long-term strategy and roadmap for your platform and product components.
Understand business objectives and translate them into technical systems problems that need to be prioritized solved in the current business environment.
Define specific systems programs and create a plan of action for realizing those programs. Such programs could be around capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements and more.
Use your technical understanding of Atlassian and related systems to partner with and influence engineers and architects in making progress on these problems.
Responsible for taking a systematic approach to engineering problems. This includes: prioritizing tasks, scoping out the project, defining objectives, and making consistent progress against each of these.
Be accountable for the success of these technical programs by managing the entire lifecycle from initiation to forecasting, budgeting, scheduling, etc.
Manage complex dependencies and projects with a broad scope across the company

What we offer

health and wellbeing resources
paid volunteer days

Software Engineer - E-Series

As a Software Engineer, you will develop, execute, and maintain software and aut...

Location

United States , Wichita

Salary:

108800.00 - 162800.00 USD / Year

NetApp

Expiration Date

Until further notice

Requirements

Experience with development with C/C++ in LINUX/UNIX environments
Experience with applying standard software engineering practices
Proficient with systems engineering domain concepts such as computer architecture, operating systems, file systems, networking, algorithms & data structures
Experience with git version control systems
Experience with platforms such as bitbucket or github is preferred
Ability to work collaboratively with other engineers
Frequent use of and familiarity with AI tooling is strongly desired
Strong oral and written communication skills are essential
Proven aptitude for learning new technologies
Creative and analytical approach to problem solving ability is essential

Job Responsibility

Apply current software engineering skills and use up-to-date technologies to contribute to team deliverables
Participate in code reviews and continuous improvement efforts
Develop unit test plans and assist in the integration of these tests into Continuous Integration Test environment
Contribute to development and testing of new product releases and maintenance releases for current products
Contribute to all aspects of the product release cycle, including bug fixing and documentation
Work on additional tasks and responsibilities that will contribute towards team, department and company goals

What we offer

Health Insurance
Life Insurance
Retirement or Pension Plans
Paid Time Off
various Leave options
Performance-Based Incentives
employee stock purchase plan
and/or restricted stocks (RSU’s)
volunteer time off program (40 hours paid time per year)
educational assistance

Fulltime

AI Engineer for Storage Domain

Hewlett Packard Enterprise

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
September 15, 2025

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AI Engineer for Storage Domain

Hewlett Packard Enterprise

Location:India , Bangalore

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:September 15, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Job Posted:
September 15, 2025