Embedded Systems with AI

About the Internship

Nexora Group is seeking enthusiastic students interested in the Internet of Things (IoT) and Embedded Systems. This internship provides hands-on exposure to smart devices, sensor integration, microcontrollers, embedded programming, and IoT-based applications.

Interns will gain practical experience working on real-world projects involving connected devices, automation systems, data collection, and intelligent monitoring solutions while learning industry-relevant technologies.

Key Responsibilities

• Assist in the development of IoT and Embedded Systems projects.
• Work with sensors, microcontrollers, and hardware components.
• Develop and test embedded applications.
• Collect, monitor, and analyze data from IoT devices.
• Support system integration and troubleshooting activities.
• Create technical documentation and project reports.
• Participate in project discussions and team meetings.
• Research emerging IoT and embedded technologies.

Required Skills

• Basic understanding of Electronics and Embedded Systems.
• Familiarity with Arduino, ESP32, Raspberry Pi, or similar platforms.
• Basic knowledge of C, C++, or Python programming.
• Understanding of sensors, actuators, and communication protocols.
• Strong analytical and problem-solving skills.
• Passion for innovation and technology.

Eligibility

• B.Tech, M.Tech, Diploma, B.Sc., M.Sc., or related disciplines.
• Students pursuing Electronics, Electrical Engineering, Embedded Systems, IoT, Computer Science, Instrumentation, Mechatronics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Internet of Things (IoT) Fundamentals

✅ Embedded Systems Development

✅ Microcontroller Programming

✅ Sensor & Device Integration

✅ IoT Communication Protocols

✅ Smart Automation Systems

✅ Industry-Oriented Project Development

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on Industry Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World IoT Applications

About Us

Corporate Web Solutions provides technology-focused learning opportunities across software, engineering, automation, and emerging technologies.

Role Overview

As an Embedded Systems Intern, you'll gain practical exposure to embedded development, microcontrollers, sensors, firmware, and hardware-software integration.

Key Responsibilities

• Assist with embedded system projects.
• Work with microcontrollers and sensors.
• Develop and test basic firmware.
• Assist with hardware-software integration.
• Debug basic system issues.
• Participate in practical projects.

Requirements

• Basic C/C++ knowledge.
• Understanding of electronics fundamentals.
• Interest in embedded systems.
• Knowledge of microcontrollers is a plus.
• Problem-solving skills.

Perks

• Certificate of Internship
• Flexible work hours
• Mentorship and real project exposure
• Potential for PPO
• Letter of Recommendation
• Performance-Based Stipend available up to ₹18,000/month

About Us

Corporate Web Solutions provides technology-focused learning opportunities across software, engineering, automation, and emerging technologies.

Role Overview

As an Embedded Systems Intern, you'll gain practical exposure to embedded development, microcontrollers, sensors, firmware, and hardware-software integration.

Key Responsibilities

• Assist with embedded system projects.
• Work with microcontrollers and sensors.
• Develop and test basic firmware.
• Assist with hardware-software integration.
• Debug basic system issues.
• Participate in practical projects.

Requirements

• Basic C/C++ knowledge.
• Understanding of electronics fundamentals.
• Interest in embedded systems.
• Knowledge of microcontrollers is a plus.
• Problem-solving skills.

Perks

• Certificate of Internship
• Flexible work hours
• Mentorship and real project exposure
• Potential for PPO
• Letter of Recommendation
• Performance-Based Stipend available up to ₹18,000/month

Job Title: Software/Hardware Engineer (IIT/NIT)

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1 Year

CTC: 6-7 LPA

About the Company

Zeuron.ai is a Bangalore-based deep-tech startup founded in 2019, focused on building brain-inspired computing and AI-driven healthcare solutions. The company combines neuroscience, AI, and gaming to create innovative digital therapeutics and neurotechnology platforms for improving brain health, rehabilitation, and overall well-being.

About the Role

We are looking for a highly motivated Software/Hardware Engineer from premier institutes (IIT/NIT) with strong fundamentals and a passion for building scalable and efficient systems. This role offers an opportunity to work on cutting-edge technology and solve real-world problems.

Key Responsibilities

Design, develop, and optimize software/hardware solutions

Work on system architecture, debugging, and performance improvements

Collaborate with cross-functional teams (product, design, operations)

Participate in code reviews, testing, and deployment processes

Contribute to innovation and continuous improvement initiatives

Requirements

B.Tech/M.Tech from IITs/NITs (Computer Science, Electronics, Electrical, or related fields)

1 year of experience (internships/project experience considered)

Strong programming skills (C/C++/Python/Java) or hardware fundamentals (embedded systems, VLSI, circuit design)

Good understanding of data structures, algorithms, and system design

Problem-solving mindset with strong analytical skills

Preferred Skills

Experience with embedded systems, IoT, or product development

Knowledge of cloud platforms or system-level programming

Good in Computer vision, Flutter, JavaScript, AI/ML

Job Description – Embedded Application Engineer (4–6 Years Experience)

Position

Embedded Application Engineer

Experience

4–6 Years

Location

Hyderabad

Job Summary

We are seeking a highly motivated Embedded Application Engineer with 4–6 years of experience in developing, deploying, and maintaining embedded software applications on Linux-based platforms. The ideal candidate should possess strong programming skills in Go, C/C++, Linux, and Python, leverage modern AI-assisted development tools such as Cursor, and have experience working with industrial communication protocols, messaging systems, and DevOps automation pipelines.

The role involves designing edge applications, integrating industrial devices, implementing secure communication frameworks, and enabling scalable deployment and lifecycle management across ARM and AMD-based hardware platforms.

Key Responsibilities

· Design, develop, and maintain embedded applications for Linux-based edge devices.

· Develop high-performance software components using Go, C/C++, Linux, and Python.

· Utilize AI-powered coding assistants (e.g., Cursor) to improve development productivity and code quality.

· Implement and integrate communication protocols such as:

o MQTT

o Sparkplug B

o JSON-based messaging interfaces

o Industrial protocols (Modbus preferred)

· Build edge-to-cloud data communication services and telemetry pipelines.

· Develop software for ARM and AMD processor architectures.

· Create automated CI/CD pipelines using CircleCI and related DevOps tools.

· Implement automated testing, deployment, and release processes.

· Perform debugging, profiling, and performance optimization for embedded systems.

· Collaborate with product, cloud, and platform engineering teams to deliver scalable and secure solutions.

· Support software configuration, packaging, deployment, and version management.

· Contribute to system monitoring, diagnostics, and fleet lifecycle management.

Required Skills & Qualifications

Programming Languages

· Strong proficiency in:

o Go

o C/C++

o Python

o Linux Application development

· Experience using AI-assisted coding tools such as Cursor or similar developer productivity tools.

Embedded & Platform Expertise

· Strong experience with:

o Linux-based embedded development

o Application-level debugging

o ARM and AMD processor architectures

o Multi-threaded and concurrent application design

Communication & Protocols

· Hands-on experience with:

o MQTT

o Sparkplug B

o JSON message structures and APIs

· Familiarity with industrial communication protocols:

o Modbus (preferred)

DevOps & Automation

· Experience with:

o CircleCI

o Continuous Integration (CI)

o Continuous Delivery/Deployment (CD)

o Automated testing frameworks

o Version control systems (Git)

Device & Fleet Management

· Experience with:

o Software packaging and deployment

o Remote device management

o Fleet monitoring and maintenance

o Canonical Snap package management

Preferred Qualifications

· Experience in IoT, Edge Computing, Building Automation, Industrial Automation, or HVAC domains.

· Familiarity with container technologies (Docker/Podman).

· Understanding of cybersecurity practices for embedded devices.

· Experience with cloud integration (AWS, Azure, or GCP).

· Knowledge of telemetry, diagnostics, and remote software update mechanisms.

Key Competencies

· Strong problem-solving and debugging skills.

· Excellent communication and collaboration abilities.

· Ability to work independently in agile development environments.

· Focus on software quality, maintainability, and reliability.

· Passion for automation and modern software engineering practices.

Nice-to-Have Domain Experience

· IoT Edge Platforms

· Industrial Automation Systems

· Building Management Systems (BMS)

· HVAC Controls and Equipment Connectivity

· Smart Building and Energy Management Solutions

Experience Range: 4–6 Years

Education: Bachelor's or Master's degree in Computer Science, Electronics, Electrical Engineering, Embedded Systems, or a related field.

We are hiring an Embedded Software Engineer to develop firmware and low-level software for embedded devices and connected products.

Responsibilities

• Develop firmware in Embedded C and C++ for microcontroller-based systems
• Build real-time applications on RTOS platforms such as FreeRTOS
• Write and maintain device drivers for peripherals (UART, SPI, I2C, CAN)
• Develop and customise Embedded Linux components
• Debug hardware and software issues using oscilloscopes, JTAG and debuggers
• Work with hardware teams on board bring-up and testing

Requirements

• 1+ years of experience in embedded software development
• Strong Embedded C and C++ programming skills
• Hands-on experience with microcontrollers (ARM Cortex, STM32, ESP32 or similar)
• Experience with RTOS and device driver development
• Exposure to Embedded Linux is a plus

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

Technical Lead – Embedded Software Application Projects

link: https://www.ziliconcloud.com/careers

ZILICONCLOUD PRIVATE LIMITED is looking for an experienced Technical Lead with 5–8 years of industry experience in Embedded Systems, IoT, AI, Cloud, and Software Engineering.

The candidate will lead Embedded, IoT, Edge AI, and Cloud projects, define system architecture, convert requirements into technical tasks, and ensure successful project execution and delivery.

Key Responsibilities

• Design modular system architectures for Embedded, IoT, Edge AI, Cloud, REST APIs, and dashboards.
• Convert requirements into clear tasks, milestones, and deliverables.
• Track project progress, manage technical risks, and ensure on-time delivery.
• Guide engineers on coding standards, Git, testing, debugging, and documentation.
• Troubleshoot issues across hardware, firmware, IoT, cloud, backend, and UI.
• Support system integration, testing, debugging, and performance improvement.
• Review technical designs, code, and test results.
• Lead prototype development, integration, technical reviews, and demonstrations.
• Mentor young engineers and explain complex technical concepts in a simple and practical way.
• 
  

Required Skills

C/C++, Python, JavaScript/TypeScript, Linux, FreeRTOS, Microcontrollers, REST APIs, MQTT, Git, Embedded Software, IoT, and system debugging.

Preferred: AWS IoT, Microsoft Azure, ThingsBoard, OpenCV, TensorFlow Lite (TFLite), React, Flutter, or FastAPI.

Education

B.E./B.Tech/M.E./M.Tech in ECE, CSE, Embedded Systems, Mechatronics, or a related field.

📍 Location: East Tambaram, Chennai, Tamil Nadu

💼 Experience: 5–8 Years

🕒 Employment Type: Full-Time

About Jinn

Jinn is a Voice AI Tech Company. It helps businesses get better RoI specially by helping sales processes with the use of Voice AI Tech. We are adding a business line which includes an audio device that can reliably capture audio in various environments.

About role:

• This Role in a B2B SaaS startup in AI space led by 2X entrepreneurs from IIT, IIMs. Fast paced with a lot of learning and growth.
• Responsibility: Helping engineer/assemble/bring together an IoT/ hardware device that can accomplish product goals with required constraints. Great high stakes exposure for fresh grads
• Duration: 3-6 months internship || Converts to Full Time based on performance 
• Compensation (Stipend): 20-25k per month || Full time 4.5lpa - 6LPA

Ideal Profile: Interested in building a career in IoT/Tech, good communication, good discipline, solid understand of tech (AI)

Skill Sets

Look for someone who:

•⁠ ⁠Has built at least 1 IoT project end-to-end

•⁠ ⁠Knows Arduino + one of ESP32 / nRF52

•⁠ ⁠Has touched audio input (even basic)

•⁠ ⁠Is comfortable debugging hardware (this is key)

1.⁠ ⁠Embedded Systems Programming (Must-have)

•⁠ ⁠C/C++ (Arduino framework or ESP-IDF)

•⁠ ⁠Working with:

  * ESP32 OR

  * Seeed Studio XIAO BLE nRF52840 Sense

•⁠ ⁠Skills:

  * GPIO, I2S (for mic input)

  * Power modes (deep sleep, wake triggers)

  * Memory constraints (huge in audio use cases)

👉 This is the backbone. If they can’t do this well, project stalls.

2.⁠ ⁠Audio Handling + Signal Basics

•⁠ ⁠Understanding:

  * Sampling rate (16kHz vs 44.1kHz)

  * PCM audio buffers

  * Latency vs quality trade-offs

•⁠ ⁠Practical skills:

  * Using I2S microphones (INMP441, etc.)

  * Basic noise filtering

  * Voice Activity Detection (VAD)

👉 Without this, you’ll just get noisy unusable recordings.

3.⁠ ⁠Power & Hardware Basics (Often underestimated)

•⁠ ⁠LiPo battery handling

•⁠ ⁠Charging IC (TP4056 type)

•⁠ ⁠Power optimization:

  * Sleep modes

  * Sampling intervals

Many prototypes fail here (battery drains in 1 hour 😅)

4.⁠ ⁠Connectivity (BLE / WiFi)

•⁠ ⁠BLE (for XIAO nRF52840):

  * Data chunking (BLE MTU limits!)

  * Pairing + mobile relay model

•⁠ ⁠WiFi (for ESP32):

  * HTTP / WebSocket streaming

  * Retry + buffering

Trade

Role Overview 

We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies. 

Domains & Responsibilities 

Frontend Development 

• Build responsive and user-friendly web interfaces  
• Translate UI/UX designs into functional applications  
• Optimize performance and ensure cross-browser compatibility  

Backend Development 

• Develop APIs and server-side logic  
• Work with databases and data storage solutions  
• Ensure application security and performance  

DevOps 

• Assist in CI/CD pipeline setup and automation  
• Manage deployments and cloud infrastructure  
• Monitor system performance and reliability