Embedded Systems Intern (IoT + Audio devices)

• Design and implement scalable IoT solutions from sensor to cloud, ensuring seamless integration between

vehicle hardware (fuel sensors, GPS trackers, OBD devices) and the Anytime Diesel platform

• Integrate industrial and automotive sensors, microcontrollers, and gateways with the platform

• Develop, optimize, and troubleshoot data flow using protocols such as CAN bus, Modbus, RS485, TCP, and

RTU

• Manage the full IoT device lifecycle across the fleet — provisioning, remote configuration, health monitoring,

and OTA/FOTA firmware updates

• Collaborate with software, data, and operations teams to define data models and ensure clean data ingestion for

fleet analytics

• Conduct testing, debugging, and performance analysis of embedded firmware and IoT systems using tools like

oscilloscopes and logic analyzers

• Create technical documentation — architecture diagrams, API specs, and deployment guides

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

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

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

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.

About Nexora Group

Nexora Group is a technology-driven organization focused on innovation in Artificial Intelligence, IoT, Embedded Systems, Robotics, and next-generation digital solutions. We provide aspiring engineers with opportunities to gain practical experience, work on industry-relevant projects, and develop skills that bridge hardware and intelligent software systems.

Internship Overview

Nexora Group is seeking passionate and innovative Embedded Systems with AI Interns to join our technology team. This internship is designed for students and recent graduates interested in embedded programming, IoT development, edge AI, robotics, and intelligent hardware systems. Interns will work on real-world projects involving microcontrollers, sensors, AI-powered devices, and automation solutions.

Key Responsibilities

• Design, develop, and test embedded applications for intelligent systems.
• Work with microcontrollers and development boards such as Arduino, ESP32, STM32, and Raspberry Pi.
• Integrate sensors, actuators, and communication modules into embedded solutions.
• Develop and deploy AI/ML models for edge devices and IoT applications.
• Assist in building smart automation, robotics, and intelligent monitoring systems.
• Debug, optimize, and troubleshoot hardware and firmware issues.
• Collaborate with software and AI teams to integrate machine learning into embedded platforms.
• Document project architecture, testing results, and technical specifications.
• Research emerging technologies in Edge AI, TinyML, IoT, and Embedded Computing.

Required Skills

• Basic understanding of Embedded Systems and Microcontrollers.
• Knowledge of C, C++, or Python programming.
• Familiarity with Arduino IDE, PlatformIO, Raspberry Pi, or similar development environments.
• Understanding of electronics, sensors, and communication protocols (UART, I2C, SPI, MQTT).
• Basic knowledge of Artificial Intelligence and Machine Learning concepts.
• Strong analytical and problem-solving abilities.
• Good communication and teamwork skills.
• Passion for innovation and hardware-software integration.

Preferred Qualifications

• Experience with IoT, Robotics, Automation, or Embedded Projects.
• Familiarity with TensorFlow Lite, TinyML, Edge AI, or Computer Vision applications.
• Knowledge of PCB design, circuit simulation, or hardware prototyping.
• Participation in technical competitions, hackathons, or research projects.
• GitHub portfolio or project demonstrations showcasing embedded or AI work.

Eligibility

• Undergraduate or postgraduate students pursuing Electronics & Communication Engineering (ECE), Electrical Engineering (EE), Computer Science, Embedded Systems, Mechatronics, Robotics, IoT, AI, or related disciplines.
• Recent graduates seeking practical industry exposure.
• Candidates passionate about intelligent hardware systems and emerging technologies.

What You'll Gain

• Hands-on experience with real-world Embedded Systems and AI projects.
• Exposure to IoT, Edge AI, Robotics, and Smart Device development.
• Mentorship from experienced engineers and technology professionals.
• Internship Completion Certificate.
• Letter of Recommendation based on performance.
• Opportunity for a Pre-Placement Offer (PPO) for outstanding performers.
• Professional networking and career growth opportunities.

Power Electric Vehicles with embedded software for battery management and autonomous driving.

What you'll do:

• Develop BMS algorithms (SOC/SOH estimation)
• Implement CAN bus communication protocols
• Code motor control algorithms (FOC, sensorless)
• Build ADAS features (ultrasonic parking, vision)
• HIL testing with Vector tools
• Optimize for automotive-grade reliability (AUTOSAR)

What we need:

• C/C++, Embedded Linux/RTOS
• Microcontroller experience (STM32, NXP)
• Control systems or automotive interest
• Debugging skills (oscilloscopes, logic analyzers)

Future-proof skills:

• Work on actual EV prototypes
• Portfolio for Tata, Mahindra EV teams
• Automotive cybersecurity exposure

Job Description

Qualified applicants with experience in the following role or comparable job titles are encouraged to apply:

• Audio AI Engineer
• Speech AI Engineer
• Audio Software Engineer
• Speech Processing Engineer
• Audio Machine Learning Engineer
• Machine Learning Engineer – Speech
• AI Engineer – Audio
• Speech Processing Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• Speech Recognition Engineer
• ASR Engineer
• Automatic Speech Recognition Engineer
• Voice AI Engineer
• Speech Scientist
• Audio Research Engineer
• Audio Systems Engineer
• Audio Software Engineer
• Audio R&D Engineer
• Speech Research Engineer
• Audio DSP Engineer
• Voice Processing Engineer
• Acoustic AI Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• AI Engineer – Speech
• AI Engineer – Audio

Requirement:

a) Working on Design, Development, testing and deployment of different speech enhancement products using frameworks like PyTorch and TensorFlow.

b) Working on enhancing existing speech enhancement products w.r.t

performance, low latency and less computation.

c) Work on improvement of adapting the model to multi channels.

d) Should be self-motivated to learn and explore new areas and able to work independently and contribute

Experience

a) Good understanding of signal processing and machine learning.

b) Hands-on experience with Deep Learning techniques like CNNs, RNNs, LSTMs, Transformers, etc., for speech processing is essential.

c) Good understanding of: Linear algebra, Optimization techniques, Statistics and pattern recognition

d) Minimum 3 years of work experience in the Audio/Speech domain

e) Good programming skills in C/C++, Python, AI/ML frameworks.

Qualification

Bachelor's / Master’s Degree from AI/ML, CSE, ECE, or PhD

Procedure is hiring for WorkHero.

WorkHero is building the AI-powered back office for the skilled trades, starting with the $50B+ HVAC industry. Small contractors are great at their trade but lose 20+ hours a week to invoicing, permits, scheduling, and paperwork. WorkHero combines expert office managers with automation and AI tooling, enabling a small team to take real ownership of that back-office work

We’re hiring a senior engineer to own our real-time voice stack end to end—AI agents operating on live phone calls—and the data platform that turns those calls into insight: call → transcript → events → warehouse → dashboards. You’ll own meaningful systems end to end alongside a small, senior team with deep experience in AI, product, and the trades.

What you’ll build

• New product screens and flows (jobs, customers, invoices, scheduling) in React and React Native, especially AI chat UI (chat & tool result rendering, streaming responses, human review and feedback loops)
• AI workflows in production: tool-using agents, RAG/search, classification/extraction, and human-in-the-loop flows
• Automations: Contribute new features and improvements to our AI-powered business automation platform

In addition, you’ll own our first investments into a realtime voice stack and the call-data platform behind it. For example:

• Realtime voice agents on live phone calls: telephony/WebRTC integration, streaming speech-to-text and text-to-speech, turn-taking, interruption handling, and latency optimization
• Voice pipeline reliability: backpressure, failover, graceful degradation, and monitoring for live calls
• Call-data pipeline: transcripts, events, and structured extraction flowing from every call into the warehouse
• Analytics & dashboards: data modeling and conversation-intelligence features on top of call data
• Evals & monitoring for voice agents: quality metrics, drift detection, and cost/latency tracking
• Cloud infrastructure: scaling our platform with infrastructure as code, queues and orchestration, and CI/CD

Responsibilities

• Analyze requirements and propose innovative AI-native solutions to technical problems
• Write clean scalable code
• Own the voice and data stack end-to-end: design, build, test, deploy, and operate
• Optimize the performance, latency, and cost of our real-time AI systems
• Respond to critical system issues and ensure continuous system reliability
• Mentor team members and collaborate across teams, especially with product and subject matter experts
• Work to understand the needs of our users and think creatively about how to solve design challenges in your work
• This is a Remote role. We expect a minimum 4 hours overlap with the WorkHero team (11 AM - 3 PM ET).

Qualifications

• Senior-level backend experience (typically 5+ years) shipping production systems that you've owned
• Hands-on experience with realtime voice or streaming systems: telephony (SIP/Twilio), WebRTC, streaming STT/TTS, or frameworks like LiveKit or Pipecat — or comparable experience with demanding realtime/streaming infrastructure
• Data engineering fundamentals: event pipelines, data modeling, warehousing, and analytics on production data
• Strong proficiency in a typed backend language (TypeScript preferred; comparable experience welcome)
• Hands-on experience with LLM-powered features (usage, prompting, optimization, etc) and AI architectures
• The ability to work with infrastructure as code (terraform), cloud, and CI/CD systems at scale. We're a small team, so we own the whole stack!
• Excitement to leverage AI coding tools to their maximum benefit. We love Claude Code and Cursor and are constantly looking for better ways to leverage our time to build fast and build for scale.

Nice to have

• experience with voice-AI platforms (Vapi, Retell, Bland, Deepgram, LiveKit) or conversation-intelligence products (e.g. Gong-style analytics)
• experience scaling cloud infrastructure, especially AWS, and how to get the most out of key AWS services
• experience with workflow automation tools like n8n or Lindy
• experience with React for building internal dashboards
• experience with HVAC or back-office business workflows

WorkHero is committed to building a diverse team. We encourage candidates from all backgrounds to apply.

Interested in designing award-winning wearables while managing challenging constraints so that your products are used everyday by millions of users? Then read on..

ULTRAHUMAN • HARDWARE

Hardware Design Engineer Wearables

Bangalore (Kudlu Gate)| • On-site | Full-time |

ABOUT THE ROLE

Ultrahuman's Hardware division builds award-winning wearables the Ultrahuman Ring and Ring Air pushing consumer technology in health and metabolic fitness. We're looking for a Hardware Design Engineer to own electronics design for our next-generation smart rings, from architecture and schematic capture through PCB layout, bring-up, and mass production.

This is a hands-on role at the extremes of miniaturization and power efficiency. You'll make architecture-level component decisions, drive high-density and RF layout, and take designs through NPI to volume — working closely with mechanical, firmware, and manufacturing teams on fast product cycles.

KEY RESPONSIBILITIES

Architecture & Schematic Design

• Translate product requirements into hardware architecture, then into schematics and manufacturable PCB designs using OrCAD / Allegro (Cadence).
• Own component selection across MCU/SoC, PMIC, sensor AFEs, and RF front-ends — balancing size, power, cost, and supply availability.
• Handle schematic-to-layout conversion and netlist import; create and maintain symbol/footprint libraries and land patterns.

High-Density & RF Layout

• Design and review high-density (HDI), rigid, and rigid-flex PCB layouts for space-constrained wearable form factors.
• Design 2.4 GHz BLE antennas and NFC coils, matching networks, and controlled-impedance routing; support antenna tuning and RF validation.
• Apply signal-integrity best practices for high-speed digital interfaces and mixed-signal boards.

Power & Low-Power Design

• Architect power trees around PMICs, buck/boost converters, and LDOs, including Li-ion charging for small-capacity cells.
• Build and validate ultra-low-power current budgets to meet multi-day battery-life targets.
• Strong grasp of power electronics and active/passive component behaviour.

Sensor Integration

• Integrate optical biosensing (PPG) AFEs, IMUs, temperature sensors, and haptics; own I²C/SPI interface design and analog front-end layout.

Manufacturing & DFM

• Own Gerber/ODB++ release, fabrication and assembly drawings, panelization, and full manufacturing data packages.
• Prepare and maintain BOMs; evaluate and qualify alternate / second-source components.
• Drive DFM/DFA reviews with fab and SMT/EMS partners; support NPI through EVT/DVT/PVT to mass production.
• Sound understanding of PCB materials, stackups, and component assembly processes.

Compliance, Reliability & Validation

• Apply EMI/EMC, thermal, and mechanical design best practices.
• Support pre-compliance and certification across FCC, CE, BIS, and RoHS, and familiarity with IEC standards for PCB design safety.
• Coordinate with test engineers on board bring-up and PCB validation; run circuit simulations for RF and signal/timing optimization.

Ownership & Collaboration

• Independently manage hardware projects end-to-end, including vendor coordination and delivery of final hardware.
• Collaborate with mechanical engineers to optimize designs and meet project timelines.
• Bring the latest design tools, methodologies, and industry best practices into the team.

REQUIRED QUALIFICATIONS

• Bachelor's or Master's in EEE, Electronics, or equivalent practical experience.
• 4+ years of hands-on hardware / PCB design experience, ideally in consumer electronics or wearables.
• Proficiency with a leading schematic and PCB toolchain (OrCAD / Allegro preferred).
• Proven track record taking a product from schematic through layout to volume production.
• Working knowledge of power electronics and active/passive component selection.
• Familiarity with global certifications (FCC, CE, BIS, RoHS) and IEC PCB safety standards.

PREFERRED / BONUS

• Experience with miniaturized high-density or rigid-flex designs.
• RF design experience (2.4 GHz / BLE, NFC, antenna tuning and matching).
• EMI/EMC design and pre-compliance testing experience.
• Low-power / battery-operated wearable product experience.
• Familiarity with reliability methods (DFMEA, derating) and RF / signal-timing circuit simulation.