IoT Engineer

Embedded Systems / Firmware Engineer

Key Responsibilities

• Develop embedded firmware for IoT and connected devices using C/C++.
• Work on RTOS, bare-metal programming, memory management, device drivers, and communication protocols.
• Develop and integrate drivers/interfaces for cameras, motors, sensors, and vision systems.
• Work with Python and Shell scripting for development and automation.
• Apply basic AI/ML and computer vision concepts to embedded applications.
• Collaborate on electrical and mechanical design, hardware integration, testing, and debugging.

Required Skills

• C, C++, Python, Shell Scripting
• Embedded Systems & Firmware
• IoT, RTOS, Bare Metal
• Memory Management & Device Drivers
• Communication Protocols
• Camera, Motor & Vision Systems
• Basic AI/ML understanding
• Electrical & Mechanical Design understanding

IoT Engineer – Telematics & C#/.NET

Experience :05+ Years

Location : Ahmedabad

ABOUT MYFMS

MyFMS is Micpoint B.V.'s SaaS platform for fleet, facility, and access management, built on .NET and C#, and hosted on our own private cloud in the Netherlands, spread across two data centers. A key part of MyFMS is its connector layer: the software that links telematics and IoT hardware in the field (such as GPS trackers and CAN-bus interfaces) to the platform. To further build out and standardize this layer, we're looking for an IoT Engineer with C#/.NET development experience.

WHAT YOU'LL DO

•    Implement and maintain telematics integrations in C#/.NET on MyFMS's connectors, which link telematics hardware (e.g. GPS trackers and CAN-bus interfaces) to the platform.

•    Investigate which configurations, protocol settings, and command sets of supported hardware (e.g. CAN/LVCAN parameters) can serve as a standard, and document them.

•    Research and manage firmware versions for telematics devices, and advise on firmware updates and compatibility.

•    Translate device-specific protocols into a uniform, reusable data structure within the platform.

•    Document device configurations and firmware standards in Markdown for the development team and support organization.

•    Work according to our DevOps way of working, integrating your work into the CI/CD pipelines we use for testing and releases.

•    Collaborate with the (international) development team on the architecture of the connector layer and contribute to the technical roadmap.

•    Support troubleshooting of field issues, such as connectivity or synchronization problems with hardware.

•    Build simulators for telematics hardware, so protocols, configurations, and firmware behavior can be tested without needing physical devices.

•    Use AI, and work with and train models, to build simulations and test setups.

•    Ensure the connector integrations are fully testable (including unit and integration tests), safeguarding the quality of the telematics integrations.

WHAT THE ROLE REQUIRES

•    Bachelor's/Master's level thinking and working ability in a technical field, e.g. Electrical Engineering, Embedded Systems, Computer Science, or similar.

•    Demonstrable experience with software development in C#/.NET.

•    Affinity with or experience in IoT/telematics hardware, such as GPS trackers, CAN-bus interfaces, and sensors.

•    Experience with Ruptela, Teltonika, and Digital Matter hardware is a plus.

•    Knowledge of communication protocols such as CAN, LVCAN, OBD-II, MQTT, and/or TCP/IP is a plus.

•    Experience reading, configuring, or updating firmware on embedded devices is a plus.

•    Experience building test or simulation tools (e.g. device or protocol simulators) and with test automation (unit/integration tests) is a plus.

•    Experience with DevOps practices and CI/CD pipelines (incl. Azure DevOps) is a plus.

•    Affinity with AI/machine learning, for example training models for simulations and test setups, is a plus.

•    You're analytical and structured: you enjoy bringing order to a wide range of device configurations and documenting what you find.

•    You value quality assurance and structurally build testability into your own work.

•    You're proficient in English, spoken and written (the team's working language); Dutch is not required.

Role Overview

• Role: Senior DevOps / CloudOps Engineer
• Domain: IoT Smart Controls & Building Management Systems (BMS) Platform
• Environment: Scale-Up product ecosystem demanding Startup Agility

Key Responsibilities

• Cloud & Infrastructure Management: Design, provision, and maintain secure, highly available cloud infrastructure (AWS/Azure/GCP) with application of Infrastructure as Code capabilities(Terraform/Ansible)
• IoT & Real-Time Messaging Scalability: Manage high-throughput MQTT broker clusters and WebSocket communication layers to support massive concurrent device telemetry
• CI/CD Pipeline Operations: Build and optimize automated build, test, and deployment pipelines for heterogeneous micro-services spanning Java Spring Boot backends, PHP services, and containerized components.
• Container Orchestration: Manage Docker containers and Kubernetes clusters ensuring seamless micro-services orchestration, zero-downtime rollouts, and failover resilience.
• Monitoring & Observability: Implement comprehensive logging, tracing, and metric alerts (Prometheus, Grafana, ELK stack) across cloud components and edge-to-cloud communication paths.
• Cross-Functional Collaboration: Coordinate with firmware teams (C/C++) and mobile/web application teams (React Native, JavaScript, Android, iOS) to ensure smooth continuous integration and API gateway reliability

Required Skills & Qualifications

• Experience: 8+ years of hands-on cloud engineering and DevOps experience in production environments.
• Cloud & IaC: Deep proficiency in cloud platform administration (AWS/Azure) alongside Terraform.
• Networking & Protocols: Solid understanding of TCP/IP, DNS, load balancing, WebSockets, and MQTT broker scaling (e.g., EMQX, HiveMQ, or Mosquitto).
• Containerization Stack: Working knowledge of Docker, Kubernetes, and Helm charts.
• Scripting & Automation: Good scripting fundamentals in Python, Bash
• Tech Stack Familiarity: Operational awareness of Java Spring Boot, PHP, and JavaScript ecosystems to debug deployment bottlenecks and assist engineering teams.

About the Internship

SkillSecure X is looking for enthusiastic Embedded Systems & IoT Design Interns who are eager to gain practical experience in embedded programming, microcontrollers, sensors, and Internet of Things (IoT) applications. This internship offers hands-on learning through guided projects and industry-focused tasks.

Responsibilities

• Develop basic embedded and IoT applications.
• Work with microcontrollers such as Arduino or ESP32.
• Interface sensors, actuators, and communication modules.
• Write and debug embedded C/C++ programs.
• Assist in IoT-based project development.
• Document project progress and technical findings.
• Complete weekly assignments and practical tasks.

Required Skills

• Basic knowledge of Embedded Systems or Electronics.
• Familiarity with C/C++ programming.
• Understanding of microcontrollers and sensors.
• Interest in IoT technologies and hardware development.
• Good analytical and problem-solving skills.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Electronics, Electrical, Embedded Systems, IoT, Computer Science, Mechatronics, or related fields.

Benefits

• Hands-on industry-oriented projects.
• Mentor guidance throughout the internship.
• Internship Completion Certificate.
• Letter of Recommendation (based on performance).
• Opportunity to build a professional portfolio.
• Flexible remote internship.

Build smart energy solutions combining IoT sensors, edge computing, and real-time analytics.

What you'll do:

• Develop solar panel monitoring systems (Raspberry Pi/ESP32)
• Implement MQTT brokers and time-series databases (InfluxDB)
• Create energy optimization algorithms (ML-based forecasting)
• Build dashboards (Grafana, custom React apps)
• Deploy edge AI models for predictive maintenance
• Integrate with smart grid protocols

What we need:

• Python, basic electronics
• Arduino/ESP32 projects
• Interest in renewable energy/IoT
• Cloud basics (MQTT, AWS IoT Core)

Impact:

• Systems deployed at 50+ solar installations
• Green tech portfolio for sustainability roles
• Patent publication opportunity

Greetings from Skoegle IoT Innovations Pvt Ltd 

Job Summary

We are looking for an experienced Embedded Firmware Engineer with expertise in embedded systems, firmware architecture, RTOS, and embedded software development for IoT, wearable, automotive, industrial, and medical-grade products.

Key Responsibilities

• Design, develop, debug, and maintain firmware in C, C++, and Embedded C.

• Develop firmware for ESP32, nRF52832/52840, ATmega328P, and Raspberry Pi platforms.

• Integrate sensors using I2C, SPI, UART, ADC, GPIO, PWM, CAN, and USB.

• Develop RTOS and bare-metal firmware.

• Implement BLE, GSM/4G, GPS/GNSS, LoRa, Wi-Fi, NFC/RFID communication.

• Design bootloaders, OTA updates, and secure firmware upgrades.

• Optimize power consumption, sleep modes, memory allocation, and performance.

• Develop sensor drivers, calibration routines, and medical-grade firmware.

• Program bare ICs and support PCB bring-up, pin selection, and hardware validation.

• Support HTTP/HTTPS GET/POST/PUT APIs and embedded networking.

Required Skills

• Embedded Systems and Embedded Software Development

• C, C++, Embedded C

• RTOS, Bare-Metal Programming

• Operating Systems fundamentals

• I2C, SPI, UART, Digital & Analog Signals

• Sensor Integration

• Arduino IDE, VS Code, SEGGER Embedded Studio, J-Link

• ESP32 Series, nRF52832/52840, ATmega328P, Raspberry Pi

• BLE (UUIDs), GSM (band configuration), GPS, LoRa

• Python, HTML, HTTP/HTTPS

• Bootloader Development, OTA, Power Optimization

• Memory Allocation, Sleep Modes, Sensor Calibration

• Machine Learning on Embedded Systems (preferred)

Role Overview

The Embedded Firmware Engineer will be responsible for development, testing, debugging, and maintenance of embedded firmware for EV Charger and IoT-based products using ESP32 platforms. The role involves working closely with hardware, cloud, mobile application, and testing teams to develop reliable and production-ready embedded solutions.

The candidate should have strong hands-on experience in Embedded C programming, ESP-IDF framework, RTOS-based firmware development, peripheral interfacing, communication protocols, and debugging of embedded systems. Knowledge of EV charging systems, charger communication protocols, and industrial embedded product development is highly preferred.

Key Responsibilities

• Develop embedded firmware in C for ESP32-based embedded systems.

• Work extensively on ESP-IDF framework for application development.

• Design modular, reusable, and scalable firmware architecture.

• Develop low-level drivers and middleware for embedded peripherals.

• Implement multitasking applications using FreeRTOS.

• Optimize firmware for performance, memory utilization, stability, and low power operation.

• Perform firmware integration with hardware modules and external systems.

• Develop and debug firmware for UART, SPI, I2C, CAN, GPIO, ADC, PWM, Ethernet, Wi-Fi, BLE, RS485, and Modbus communication.

• Interface embedded systems with energy meters, display modules, RFID modules, relays/contactors, sensors, and communication modules.

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

Location: Bangalore

Website: https://www.zeuron.ai

Experience: 1-5Years

CTC: 6-10 LPA

No Freshers

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.

The role

Zeuron.ai is looking for hands-on software engineers who can turn an incomplete brief into reliable, usable software. You will work as an individual contributor, make sound technical decisions and take responsibility for the quality of what you deliver.

AI coding tools will be part of the workflow. We expect you to understand the underlying software well enough to build and debug without an LLM, then use AI to accelerate implementation, exploration and verification. You remain accountable for the result.

What you will own

• End-to-end delivery: clarify requirements, break work into achievable steps, implement features, test them, deploy them and respond to issues after release.

• Product decisions: understand the user problem, question unclear requirements and explain trade-offs between speed, quality, complexity and maintainability.

• Reliable software: investigate defects, identify root causes and improve error handling, performance and usability.

• Engineering continuity: maintain readable code, useful documentation and clear handovers so that others can run, understand and extend your work.

Engineering expectations

We value demonstrated building ability, technical reasoning and sound judgement. Tool familiarity should be supported by evidence of software you have actually delivered.

Software fundamentals

• Programming: practical fluency in at least one programming language, with an understanding of data structures, control flow, modularity and common complexity trade-offs.

• Applications and services: understand how interfaces, APIs, business logic and data storage interact. Be able to trace a failure across these boundaries.

• Data: work with databases, reason about data models and queries, and handle validation, consistency and errors appropriately.

• Development workflow: use Git confidently, review changes, manage dependencies and keep development and deployment instructions reproducible.

• Testing and debugging: reproduce failures, form hypotheses, inspect logs and isolate causes. Test important behaviour and edge cases rather than relying on a successful demo.

• Security and reliability: recognise basic risks around authentication, access control, secrets, input handling and third-party dependencies.

Build independently. Use AI effectively.

• Without LLMs: write and modify code, diagnose defects, explain design choices and use documentation to solve unfamiliar problems independently.

• With AI coding tools: frame tasks clearly, supply relevant context, use generated suggestions selectively and inspect the resulting changes.

• Verify before accepting: check correctness, integration, security and maintainability. Recognise invented APIs, fragile assumptions and plausible-looking code that does not solve the actual problem.

• Protect information: use approved tools and handle credentials, proprietary code and user data responsibly.

Evidence we want to discuss

Be prepared to walk through a project you contributed to: the problem, your specific contribution, important technical decisions, a difficult bug and how you verified the result. Public repositories or demos are useful where available; do not share confidential material from previous employers.

Ownership, growth & applying

How you will work

• Act as an owner: follow through on agreed deliverables, raise blockers early and communicate progress with concrete evidence.

• Work with the team: collaborate with product and engineering colleagues, accept review constructively and explain technical choices clearly.

• Learn with purpose: pick up unfamiliar tools when the problem requires them, while keeping the solution proportionate to the need.

• Grow through contribution: begin with hands-on individual-contributor responsibility, with potential to take on broader product or team responsibility as delivery, judgement and collaboration develop.

What strong performance looks like

Working features that meet agreed requirements; clear reasoning about implementation; defects investigated systematically; code that others can maintain; and AI-assisted work whose quality you can explain and verify.

Eligibility and compensation

Experience: 1-5 years of hands-on software development experience only.

Freshers are not considered.

Locations: Bengaluru and Belagavi.

Annual CTC : 6-10 LPA

The offer will depend on experience, interview performance and growth potential.

What to expect in the assessment

Be prepared for a discussion of your previous work, a practical coding or debugging task without LLM assistance, and an assessment of how you use AI coding tools and verify their output. We will also discuss product judgement, ownership and collaboration.

Cybersecurity Engineer – AI Training Project

About the Opportunity

We’re looking for experienced Cybersecurity Engineers to contribute technical expertise to a customer project focused on improving the capabilities of next-generation AI systems.

In this role, you’ll use your real-world experience in cybersecurity, software engineering, vulnerability assessment, and secure development to create high-quality technical inputs that help AI systems better understand, debug, secure, and reason about complex software.

What You’ll Do

• Analyze, debug, and resolve software bugs, vulnerabilities, and security issues across complex codebases.
• Review source code and identify potential security weaknesses, vulnerabilities, and attack vectors.
• Perform security assessments, vulnerability assessments, penetration testing, and codebase audits.
• Develop and modify software using languages such as Python, Java, Rust, Go, C++, or TypeScript.
• Implement new features and fix existing functionality while maintaining strong security and engineering standards.
• Refactor legacy code to improve security, maintainability, reliability, and performance.
• Work on backend systems and help optimize applications for scalability, performance, and security.
• Analyze real-world security scenarios and translate your expertise into high-quality technical examples and problem-solving tasks.
• Document technical findings, vulnerabilities, debugging approaches, and recommended solutions.
• Provide domain expertise that helps improve how AI systems reason about software engineering and cybersecurity problems.

What We’re Looking For

• Strong professional experience in Cybersecurity / Application Security / Product Security / DevSecOps / Penetration Testing / Vulnerability Management.
• Strong programming experience in one or more of:
• Python
• Java
• Rust
• Go
• C++
• TypeScript
• Proven experience with debugging, troubleshooting, and fixing complex software issues.
• Hands-on experience with penetration testing, vulnerability assessment, security auditing, or application security.
• Understanding of secure software development practices and modern security threats.
• Strong knowledge of data structures, algorithms, software architecture, and code quality.
• Ability to review unfamiliar codebases and quickly understand how systems work.
• Strong written communication and the ability to explain complex technical findings clearly.

Nice to Have

• Experience with OWASP, API security, cloud security, DevSecOps, or threat modeling.
• Experience performing security assessments on production applications or enterprise systems.
• Experience with tools such as Burp Suite, Metasploit, Nmap, Wireshark, SAST/DAST tools, or vulnerability scanners.
• Contributions to open-source security or software projects.
• Experience working with AI/ML systems, LLMs, data annotation, or AI training projects.
• Relevant security certifications such as OSCP, OSWE, CEH, CISSP, Security+, or equivalent practical experience.

Engagement

• Role: Cybersecurity Engineer
• Work: Remote(Contract)
• Experience: Mid-level to Senior
• Programming: Required
• Cybersecurity expertise: Required

Why Join?

This is an opportunity to apply your existing cybersecurity expertise to an emerging area of technology. Your practical experience debugging software, identifying vulnerabilities, securing applications, and solving complex engineering problems will directly contribute to improving the capabilities of next-generation AI systems.

If you enjoy breaking down complex technical problems, finding vulnerabilities, fixing software, and thinking deeply about how systems work, this project could be a strong fit.

Job Summary

We are looking for a Software Engineer with 3–5 years of experience in Python development, browser automation, Azure cloud technologies, and API development. The ideal candidate should have hands-on experience in building automation solutions, cloud-native applications, and backend services using Python while collaborating with cross-functional teams to deliver scalable and reliable enterprise solutions.

Key Responsibilities

* Design, develop, test, and maintain Python-based applications and automation solutions.

* Develop browser automation scripts for enterprise web applications using Python.

* Create robust and dynamic element selectors to handle changing web interfaces.

* Implement exception handling, retry mechanisms, logging, and monitoring in automation solutions.

* Develop solutions to handle authentication workflows and CAPTCHA scenarios where permitted.

* Build and maintain RESTful APIs using FastAPI or similar Python frameworks.

* Develop serverless applications using Azure Functions and integrate with Azure services.

* Design and implement integrations using Azure Logic Apps, Service Bus, Storage Accounts, and Key Vault.

* Deploy and manage applications using Azure Container Registry (ACR), Azure Container Apps, and Azure Container Instances (ACI).

* Configure and manage KEDA for event-driven application scaling.

* Develop and maintain frontend applications using React.js, Node.js, or similar modern JavaScript frameworks.

* Design and optimize database solutions using SQL Server, PostgreSQL, or Azure Cosmos DB.

* Troubleshoot production issues and implement permanent fixes.

* Participate in code reviews, testing, deployment, and release activities.

* Follow coding standards, security best practices, and application performance guidelines.

Required Skills

Python Development

* Strong experience in Python programming.

* Experience developing scalable backend applications and automation solutions.

* Experience with asynchronous programming and API integrations.

Browser Automation

* Hands-on experience in browser automation using Python libraries such as Playwright or Selenium.

* Experience creating dynamic selectors and handling dynamic web elements.

* Strong understanding of synchronization techniques, waits, retries, and exception handling.

* Experience implementing logging, monitoring, and debugging for automation solutions.

* Familiarity with CAPTCHA handling approaches and authentication workflows.

Azure Cloud

* Hands-on experience with Azure Functions.

* Experience with Azure Logic Apps.

* Experience using Azure Storage Accounts.

* Experience with Azure Service Bus.

* Experience with Azure Key Vault.

* Understanding of cloud-native application design and Azure security best practices.

Containerization & Deployment

* Experience with Azure Container Registry (ACR).

* Experience deploying applications to Azure Container Apps.

* Experience with Azure Container Instances (ACI).

* Experience configuring and managing KEDA for event-driven autoscaling.

* Familiarity with container-based deployments and application lifecycle management.

### API Development

* Experience building REST APIs using FastAPI or similar Python frameworks.

* Strong understanding of REST principles, JSON, authentication, and API integrations.

Databases

* Experience with SQL Server and/or PostgreSQL.

* Experience with Azure Cosmos DB.

* Ability to write efficient SQL queries and optimize database performance.

Frontend Development

* Experience with React.js, Node.js, or similar frontend technologies.

* Understanding of modern web application architecture and API consumption.

Additional Skills

* Experience with Git and version control.

* Strong debugging and analytical skills.

* Good communication and teamwork skills.

Preferred Skills

* Experience with OCR and document processing solutions.

* Experience with Azure AI or AI-based services.

* Experience with event-driven architectures.

* Experience working in Agile/Scrum environments.

* Experience with automation platforms such as UiPath is an added advantage.

Education

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.