Uttar Pradesh Iot engineer Jobs – 70 Open Jobs Today

Technical Lead
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- C++
- EMR systems
- APIs
8d
AI Solution Architect II
HCLTech —Noida, Uttar Pradesh
- Azure
- AWS
- APIs
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Scala Developer
Nwaresoft —Gautam Buddha Nagar District, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Java
- AWS
PCB Designer
PsiBorg —Noida, Uttar Pradesh
- Full-time
Business Development Intern
Nwaresoft —Gautam Buddha Nagar District, Uttar Pradesh
- Microsoft Powerpoint
- Microsoft Word
- CRM software
Oracle DBA
Aeris Communications Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
HR Executive
Hashstudioz Technologies Pvt. Ltd. —Unknown, Uttar Pradesh
- Full-time
- Databases
- Machine learning
- Human resources
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AI Solution Architect II
HCLTech —Noida, Uttar Pradesh
Generative AI & Multimodal Systems Architect solutions using: LLMs (OpenAI, Claude, Gemini, open-source) Multimodal models (text + image + video) Design:…
2d

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Technical Lead

HCLTech -
Gautam Budh Nagar, Uttar Pradesh

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Job details

8 days ago

Qualifications

TensorFlow
PyTorch
Software deployment
Enterprise Software
C++
C
EMR systems
APIs
Manufacturing
AI
Communication skills
Python
Pre-sales

Full job description

Gautam Buddha Nagar, Uttar Pradesh
Job Summary

Highly skilled Intel OpenVINO / oneAPI Architect who will lead enterprise application optimization for Intel AI PCs (Core Ultra platform) and establish a scalable, managed services-led revenue stream for HCLTech in collaboration with Intel.

This role will bridge silicon capabilities, software optimization, and enterprise digital workplace services. This role is critical to enabling HCLTech to move up the value chain—from device deployment to AI-driven application optimization and managed services, leveraging Intel’s AI PC ecosystem.

Role Summary

Level: Principal Engineer

Primary Focus:
AI workload optimization on Intel AI PCs
OpenVINO / oneAPI-based application acceleration
Managed enterprise application optimization services
Customer advisory + solutioning

Key Responsibilities

Technical Leadership

Lead optimization of enterprise applications (ISV + custom apps) for:
Intel Core Ultra (CPU + GPU + NPU)
Hybrid AI workloads (cloud + edge + endpoint)

Design and implement solutions using:
Intel OpenVINO Toolkit
Intel oneAPI (DPC++, MKL, etc.)
Enable AI inferencing on edge / endpoint devices (AI PCs)

Solution Architecture & Innovation

Define reference architectures for:
AI PC-based Digital Workplace
Edge inferencing use cases
Build reusable optimization frameworks, accelerators, and toolkits.
Drive performance benchmarking and tuning for enterprise workloads.

Managed Services Development

Design and operationalize:
AI application optimization-as-a-service
Continuous performance tuning services

Create:
Service catalog
SLAs / KPIs
Automation frameworks

Ecosystem Collaboration

Work closely with:
Intel engineering & solution teams
ISVs and OEMs

Align with Intel programs:
AI PC acceleration
vPro / EMA integrations

Customer Engagement

Function as SME / Advisor in:
Pre-sales discussions
Solution workshops
PoCs / pilots

Translate customer workloads into:
Optimized AI-enabled solutions

Revenue & Practice Building

Build a self-sustaining practice around:
AI PC optimization services

Support:
Deal shaping
Value articulation (ROI, performance gains)

Enable internal teams through:
Training
Playbooks
GTM assets
Key Responsibilities

Key Deliverables expected

Establish baseline capabilities.
Identify top 3–5 use cases for AI PC optimization.
Build initial PoCs.

Develop:
Reference architectures
Optimization frameworks
Initiate pilot engagements with customers

Launch:
Managed services offering

Enable:
Sales + delivery teams

Contribute to:
Revenue pipeline and wins

Success Metrics (KPIs)

Technical

% performance improvement in optimized applications
Number of workloads optimized for AI PC

Business

Revenue generated from optimization services
Number of customer engagements / PoCs converted.

Practice Growth

Reusable assets created
Teams enabled / trained.
Skill Requirements

Required Technical Skills

Core Expertise

Intel OpenVINO Toolkit (Advanced)
Intel oneAPI (DPC++, oneMKL, oneDNN, etc.)

AI model optimization:
Quantization
Pruning
Model conversion

AI / ML Stack

Frameworks:
TensorFlow
PyTorch
ONNX

Experience with:
Model deployment pipelines.
Edge inferencing

Hardware & Systems Knowledge

Deep understanding of:
Intel Core Ultra architecture (CPU + GPU + NPU)
Heterogeneous computing

Performance profiling tools:
VTune
Intel Advisor

Software Engineering

Languages:
Python (mandatory)
C++ (preferred)
API integration and system-level optimization

Enterprise Workplace Context

Understanding of:
Digital Workplace / EUC environments
Endpoint management (e.g., vPro, EMA)

Experience optimizing:
Collaboration tools
Enterprise applications
Other Requirements

Preferred Experience

Prior experience working with:
Intel ecosystem or partner programs
OEMs (HP, Dell, Lenovo)

Exposure to:
Edge AI / IoT solutions
Industry verticals (E&U, Manufacturing, BFSI)

Experience in:
Managed services or AMS models

Business & Consulting Skills

Strong customer-facing communication

Ability to:
Articulate technical value in business terms.
Build ROI-driven narratives.

Experience in:
Pre-sales / solution consulting
Stakeholder management

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