Embedded Engineering Lead

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

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

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

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.

About the client

They are reimagining video security for the modern world. Their cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster—from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining an ambitious, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

About the Role

We are looking for an Engineering Manager to lead the Core Engineering team in India, working on the systems that power our edge-computing platform.

The team works on technically challenging problems across C++, edge computing, high-concurrency systems, low-latency processing, memory management, and machine-learning workloads running on compute-constrained devices.

This is a hands-on engineering leadership role. You will lead and grow a high-performing team while staying close to architecture, system design, technical decision-making, and critical engineering problems.

As the team scales, you will play a key role in building the engineering organization, raising technical standards, mentoring engineers and managers, and partnering closely with leadership on product and technical strategy.

Responsibilities

Technical Leadership

• Lead the architecture and development of core systems powering our edge-computing platform.
• Drive technical decisions across C++, distributed systems, low-latency and high-concurrency architectures, and resource-constrained environments.
• Review and guide critical architectural and implementation decisions while maintaining strong technical depth.
• Solve complex problems around memory management, performance, reliability, concurrency, and system scalability.
• Work closely with engineers on designing and building production-grade systems running across a fleet of deployed edge devices.
• Guide the deployment and optimization of machine-learning workloads on edge infrastructure.
• Establish strong engineering practices around observability, telemetry, reliability, and performance.

Engineering & People Leadership

• Lead, mentor, and grow a high-performing core engineering team.
• Hire and build the India engineering team as the organization scales.
• Set clear technical and execution standards and create a culture of ownership and accountability.
• Conduct performance reviews, provide regular feedback, and support career development.
• Participate in hiring decisions and build a strong engineering talent pipeline.
• Identify and address performance gaps when required.
• Develop engineers into technical and people leaders as the organization grows.
• Partner with other engineering teams and leadership to align technical execution with company and product goals.

Strategy & Execution

• Own execution for key areas of the core engineering organization and ensure teams deliver reliably against business priorities.
• Participate in product and engineering decision-making, balancing technical quality, speed, reliability, and business impact.
• Work closely with the Head of Engineering and company leadership on technical roadmap and organizational planning.
• Help establish the engineering processes, systems, and team structure required to scale the organization.

Skills & Qualifications

• A Bachelor's or Master's degree in Computer Science
• Around 9+ years of software engineering experience, with meaningful experience leading engineering teams.
• At least 1+ year of engineering management experience, including ownership of people management and performance processes.
• Strong hands-on engineering background in C++ and a deep understanding of systems programming.
• Strong understanding of memory management, concurrency, and performance optimization.
• Experience designing and operating low-latency and high-concurrency systems.
• Experience working with resource-constrained, distributed, edge, IoT, hardware-integrated, or similarly challenging systems.
• Strong understanding of software architecture, distributed systems, and scalable production systems.
• Ability to remain technically hands-on and engage deeply with architecture, code, and complex engineering problems.
• Experience hiring, mentoring, managing performance, and developing engineers.
• Strong communication and collaboration skills, with the ability to influence technical and organizational decisions.
• Comfortable working in a fast-paced, high-ownership startup environment.

Good to Have

• Experience with edge computing or IoT platforms and managing fleets of deployed devices.
• Experience with GPU-based workloads or machine-learning inference at the edge.
• Experience with video processing and streaming, including technologies such as GStreamer.
• Experience with PyTorch or other ML frameworks and integrating ML models into production systems.
• Experience with infrastructure management and automation tools such as Salt.
• Experience with monitoring and observability platforms such as Grafana.
• Experience working with multiple programming languages such as Python, Java, or Shell.

Work Location

Bangalore – HSR Layout

This is a 5-day work-from-office role. We operate with a high level of ownership and flexibility rather than fixed login/logout hours.

What We Offer

• Flexible paid time off and paid holidays
• Early-stage equity in a rapidly growing company
• Referral bonuses
• Regular team off-sites
• Latest Apple products and access to a modern technology stack, including Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, and more

Why Join Us

We’re on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations.

From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by ex-Lyft engineers, the company is backed by Ansa Capital, Battery Ventures, Mosaic, 8VC, and Up Partners. The company has raised over $65M and was named to the CB Insights AI 100 as one of the most promising AI companies in the world.

If you're excited about leading a technically exceptional team building mission-critical AI and edge systems that have real-world impact, we'd love to meet you.

At InferQ, we are building solutions for autonomous and intelligent aerial systems. We seek a Robotic Navigation Engineer with deep technical rigor and a passion for developing mission-critical navigation, estimation, and path planning systems for UAVs. The role demands hands-on engagement across the autonomy stack. You will work at the intersection of robotics, AI, and aerospace, translating research into reliable field-deployable systems.

Key Responsibilities

• Architect and implement algorithms for joint state estimation, integrating multi-sensor inputs.
• Develop dynamic and real-time path planning solutions for UAVs.
• Create and validate flight simulations using various COTS Simulators or custom HIL/SIL test environments.
• Design and integrate advanced navigation systems.
• Work with avionics, AI, and controls teams to integrate autonomy modules on flight computers and mission systems.
• Conduct flight trials, performance evaluation, and algorithm optimization under real mission conditions.
• Support development of mission-critical autonomy frameworks for UAV systems.

Skillset/ Experience Required

• Strong foundation in linear and nonlinear state estimation and multi-sensor fusion.
• Expertise in path planning and trajectory optimization for aerial platforms.
• Proficiency in C++ / Python and ROS / ROS2 for robotic system development.
• Experience with aerospace kinematics and dynamics modeling, flight control integration, and navigation system design.
• Hands-on experience with Gazebo / X-Plane / AirSim / Unreal Engine simulators.
• Practical understanding of vision-based SLAM, visual odometry, and obstacle avoidance.
• Strong analytical and debugging skills, with a systems-engineering mindset.
• Exposure to AI-based perception systems.
• Integration of algorithms with embedded flight computers.
• Experience with HIL/SIL test setups and flight telemetry systems.
• Familiarity with DO-178C, DO-254, or other lifecycle processes is a plus.

Educational Qualification

• B.E. / B.Tech / M.Tech / Ph.D. in Aerospace, Robotics, Computer Science, Electrical, or related disciplines.
• Academic or project focus in Autonomous Systems, Estimation, Navigation, or AI-based Robotics is preferred.

Job Description – Mechatronics Engineer

Position

Mechatronics Engineer

Experience

2 years

Location

Bengaluru, India

About the Role

We are looking for a hands-on Mechatronics Engineer with approximately 2 years of experience to work on the development and integration of intelligent electro-mechanical systems.

The role involves a combination of electronics system assembly and testing, sensors and actuators, control algorithms, estimation algorithms, embedded implementation, system configuration, and hardware-software integration. The ideal candidate should be comfortable working across the boundary between mechanical, electrical, embedded software, and algorithms.

Key Responsibilities

1. System Assembly & Integration

• Assemble and integrate electro-mechanical systems, sensors, actuators, embedded computers, controllers, and associated electronics.
• Perform wiring, connection, sensor installation, and basic electrical integration.
• Support integration of cameras, IMUs, GNSS, encoders, motors, servos, and other sensors/actuators.
• Configure systems for laboratory, ground, and flight testing.
• Troubleshoot hardware, electrical, communication, and integration issues.

2. Electronics Testing & Validation

• Develop and execute test procedures for electronic and mechatronic subsystems.
• Perform functional testing, sensor validation, actuator testing, and system-level testing.
• Use laboratory equipment such as oscilloscopes, multimeters, power supplies, electronic loads, and logic analysers.
• Analyse test data and identify hardware, firmware, sensor, or integration issues.
• Maintain test records, test reports, and issue/defect logs.

3. Control & Estimation Algorithms

• Implement and integrate control algorithms for electro-mechanical systems.
• Work with PID, state-space, feedback control, actuator control, and related control techniques.
• Implement estimation algorithms such as complementary filters, Kalman filters, EKF/UKF, or sensor fusion algorithms.
• Perform sensor calibration, parameter estimation, filtering, and system identification.
• Tune control and estimation parameters based on laboratory and flight-test data.

4. Embedded Implementation

• Implement algorithms on embedded processors and real-time computing platforms.
• Interface sensors and actuators using protocols such as UART, SPI, I²C, CAN, RS-232/485, Ethernet, etc.
• Develop or modify embedded C/C++ code for system integration.
• Debug hardware-software interaction and real-time issues.
• Support optimisation and deployment of algorithms on resource-constrained embedded systems.

5. Configuration & Version Management

• Maintain configuration of hardware, firmware, software, sensors, and system parameters.
• Maintain configuration-controlled parameter files, calibration data, firmware versions, and test configurations.
• Use Git or equivalent version-control systems for software and configuration management.
• Maintain proper traceability between hardware configuration, software version, test results, and system performance.
• Support controlled release of system configurations for testing and demonstrations.

6. System Testing & Field Trials

• Participate in system-level integration, laboratory testing, HIL/SIL testing, and field/flight trials.
• Prepare test setups and test cases based on system requirements.
• Collect and analyse telemetry, sensor, actuator, and performance data.
• Diagnose failures during integration and testing and work with the engineering team to resolve them.
• Support verification and validation activities for production-grade systems.

Required Skills

• B.E./B.Tech/M.Tech in Mechatronics, Electronics, Electrical, Instrumentation, Mechanical Engineering, or a related discipline.
• Approximately 2 years of relevant industry/project experience.
• Strong hands-on experience with electronics system assembly, integration, and testing.
• Understanding of sensors, actuators, motors, servos, and embedded systems.
• Good understanding of control systems and estimation/filtering techniques.
• Experience implementing algorithms in C/C++ and/or Python.
• Familiarity with microcontrollers, embedded processors, and real-time systems.
• Working knowledge of communication protocols such as CAN, UART, SPI, I²C and Ethernet.
• Experience using laboratory test equipment such as oscilloscopes and multimeters.
• Familiarity with Git and configuration/version management.
• Ability to read schematics, datasheets, interface specifications, and technical documentation.
• Strong debugging and problem-solving skills.
• Willingness to work hands-on with hardware and participate in field/flight testing.

Good to Have

• Experience with UAVs, robotics, autonomous systems, gimbals, or avionics.
• Experience with IMU, GNSS, magnetometer, barometer, encoder, camera, or other navigation sensors.
• Experience with EKF/UKF, sensor fusion, visual-inertial estimation, or inertial navigation.
• Familiarity with MATLAB/Simulink.
• Experience with PX4, ArduPilot, ROS/ROS2, or similar platforms.
• Experience with HIL/SIL testing.
• Basic understanding of real-time operating systems.
• Experience with hardware bring-up and PCB-level debugging.
• Familiarity with engineering standards, configuration management, and structured V&V processes.

Desired Attributes

• Hands-on engineer who enjoys working with both hardware and software.
• Comfortable moving between mechanical assembly, electronics, algorithms, and embedded implementation.
• Strong debugging mindset with an ability to systematically isolate problems.
• Good understanding of engineering fundamentals rather than dependence on pre-built libraries or tools.
• Able to work independently on assigned modules while collaborating closely with multidisciplinary teams.
• Comfortable working in a fast-paced R&D environment involving prototyping, testing, iteration, and field trials.
• Strong documentation and communication skills.

Typical Technology Environment

Sensors & Actuators: IMU, GNSS, magnetometer, encoders, cameras, motors, servos

Embedded: Microcontrollers, ARM processors, embedded Linux/RTOS

Algorithms: PID, state estimation, Kalman filtering, sensor fusion, system identification

Programming: C/C++, Python, MATLAB/Simulink

Testing: Oscilloscope, logic analyser, multimeter, power supply, HIL/SIL

This is a hands-on R&D engineering role suited for an engineer who wants to work on complete intelligent systems rather than a narrowly defined mechanical or electronics function. The engineer will contribute across assembly → integration → algorithm implementation → configuration → testing → debugging → field validation, with particular emphasis on UAV and autonomous-system applications.

• 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 us

MyRico builds personal AI agents for enterprise, the copilots and digital employees that make humans more productive. The MyRico agents sit at the intersection of enterprise memory, high-end security, and an ever-expanding set of capabilities. We're a small team shipping fast, and the product is live with real customers today.

The role

Full-time · Bangalore

You'll own the systems that make an autonomous agent trustworthy in production. This is not just prompt engineering, and it's not model training - it's that and all the engineering layers in between: model steering, memory architecture, orchestration design, latency optimization, deterministic vs non-deterministic systems tradeoff, deployment, and operator tooling.

Concretely, the kind of work you'd have done here last week would include enhancing agent memory systems, runtime and scheduling reliability and predictability, adding new capability and tools to deployed agents, operator tools, live system debugging and benchmarking various models for price, latency and quality. And that is just last week. We are a small nimble startup rapidly working to address customer needs in this growing space, so things change rapidly.

What we're looking for

• More than 7 years of software engineering, with real production ownership of distributed or stateful systems - you've been paged for something you built and made it not happen again.
• Strong understanding of LLM based native app building, combining classic and model driven applications to get the best of both. You've built on LLMs beyond demos: agent frameworks, tool use, context management, eval fixtures, and you know why "it worked in the transcript" isn't evidence.
• Python and shell in production settings; comfortable in TypeScript/Node. You write boring, testable code and prefer the standard library to a new dependency.
• Systems taste: append-only logs, idempotent reconciliation, fold-the-events state machines, and read-only debugging surfaces feel like home.
• Evidence discipline: tests before features, claims backed by quoted observations, decisions written down.

Nice to have

• Experience running the combination of multi-tenant and single-tenant / on-prem-style fleets with ability to handle per-customer isolation, upgrade paths, migration compatibility in both setups.
• Security instincts for products that touch highly sensitive data and systems, including things like executives' email, calendars, and messages: least privilege, loopback-only services, secrets that never hit a log.
• You already orchestrate AI coding agents in your own workflow and have opinions about where they break.

How we work

Small team, high trust, written decisions. Designs get adversarial review before code; PRs get automated review driven to zero open findings; features aren't done until verified on a live system. AI agents do a large share of the implementation, your leverage is judgment: framing the problem, freezing the right design, and knowing when the machine is wrong.

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.