Android Expert

Android AOSP Engineer – Chennai candidate

Job Overview

We are looking for an experienced Android AOSP / Framework Engineer with strong hands-on expertise in Android platform development, AOSP customization, HAL integration, and system-level debugging. The ideal candidate should have solid experience working across Android Framework, native layers, hardware interfaces, and communication protocols.

Key Responsibilities

• Develop, customize, and maintain Android Framework and AOSP components.
• Design and implement custom Android System Services.
• Develop, integrate, and debug HAL components and hardware/platform interfaces.
• Work with AIDL, HIDL, Binder IPC, JNI, and native Android services.
• Develop and debug platform-level features using C/C++ and Java.
• Perform AOSP customization, platform enhancements, and Android version upgrades.
• Work with UART, CAN, UDS, and CAN TP communication protocols.
• Configure and troubleshoot SELinux/SEPolicy, including AVC denials.
• Debug and resolve issues related to the Android Build System.
• Perform system-level debugging and root-cause analysis across framework, native, and hardware layers.

Required Skills

• Strong programming experience in C/C++ and Java.
• Strong understanding of Android Framework and AOSP architecture.
• Hands-on experience with HAL, Binder IPC, AIDL/HIDL, JNI, and Android System Services.
• Experience in AOSP customization and platform-level debugging.
• Good understanding of Android Build System and platform integration.
• Knowledge of SELinux/SEPolicy and AVC denial troubleshooting.
• Hands-on understanding of UART, CAN, UDS, and CAN TP protocols.
• Strong debugging and problem-solving skills.

Location

Chennai

Preferred Profile

Candidates with experience in automotive Android, IVI, infotainment systems, embedded Android, or Android-based vehicle platforms will be preferred.

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

This is about a job opportunity with an established medtech company based out of Mysore only.  

The technical competencies required are image & signal processing and algorithm development for imaging equipment like digital x-rays and others. 

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.
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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

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.

Position: Computer Vision Engineer

Experience: 2–3 Years

Location: Bengaluru, Karnataka

Employment Type: Full-time

About the Role

We are seeking a highly motivated Computer Vision Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating computer vision models and algorithms and pipelines for UAVs operating in both GNSS-available and GNSS-denied environments.

The ideal candidate should have a strong foundation in theory of deep learning and machine learning, strong understanding of electromagnetic spectrum, imaging fundamentals, camera principles, and mathematical concepts with hands-on experience in implementing these algorithms on embedded or real-time systems.

Key Responsibilities

• Design, develop, and optimise AI Models
• Make custom CNNs/ modify existing CNNs to suit specific problems at hand
• Handle end-to-end training flow
• Implement end to end inference pipelines on standard PCs as well as on embedded systems
• Understand performance benchmarks and assess the accuracy and inference times
• Implement traditional image processing algorithms
• Factor the code to leverage underlying hardware architecture
• Prune the networks for efficiency
• Integrate the system within the application framework using C++
• Work closely with perception, controls, embedded software, and systems engineering teams.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech in Computer Science and Engineering, Electronics, ECE, Mechatronics, or a related discipline.
• 2–3 years of experience in relevant area
• Strong understanding of: Linear Algebra, Probability and Statistics, AI-ML-DL fundamentals, Image processing, Camera Functioning
• Strong programming skills in C++ and Python.
• Experience with MATLAB for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Preferred Skills

• Experience with Camera, IMU Calibration and Synchronisation
• Experience with multi-sensor fusion.
• Experience working with NVIDIA devices
• Experience on FPGA will be an added advantage
• Full understanding of Git functionality
• Exposure to airborne software development processes and coding standards (e.g., MISRA C++).

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to work independently on challenging technical problems.
• Good communication and documentation skills.
• Passion for solving challenging problems
• Willingness to participate in field trials and flight testing.
• Team playwe

Role: Software Developer

Employment Type: Full Time

Location: Gurugram, India

Educational Qualification: BE/BTech/ M.Tech / MS in Software Engineer

Work Experience: 6-8+ years of relevant work experience

Role Description:

Design and develop software for satellite systems, including onboard flight software and ground segment applications, ensuring reliability and real-time performance. Collaborate with hardware, AOCS, and mission teams to implement, test, and integrate software across the mission lifecycle. Support verification, validation, and in-orbit operations for robust and mission-critical performance.

Responsibilities & Duties:

• Design, develop, and maintain onboard flight software (FSW) and ground segment applications for satellite missions
• Develop real-time, embedded software for spacecraft subsystems (AOCS, EPS, payload, communication)
• Implement software in languages such as C/C++, Python, and embedded C for high-reliability systems
• Design software architecture, modules, and interfaces aligned with system requirements and mission objectives
• Develop drivers and low-level firmware for hardware interfaces (SPI, I2C, UART, CAN, SpaceWire, Ethernet)
• Work with real-time operating systems (RTOS) such as FreeRTOS or equivalent
• Implement communication protocols for telemetry, telecommand, and data handling
• Collaborate with hardware, AOCS, RF, and systems teams for seamless hardware-software integration
• Develop simulation tools, test scripts, and automation frameworks using Python or MATLAB
• Perform software verification and validation (V&V), including unit testing, integration testing, and system testing
• Develop and execute Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) test environments
• Perform code reviews, static analysis, and debugging to ensure reliability and performance
• Optimize software for real-time performance, memory usage, and fault tolerance
• Implement fault detection, isolation, and recovery mechanisms
• Support integration, system testing, and environmental testing (EMI/EMC, thermal vacuum, vibration)
• Develop and maintain technical documentation (design documents, interface control documents, test reports)
• Participate in design reviews (SRR, PDR, CDR, TRR) and technical discussions
• Support launch operations, commissioning, and in-orbit software updates and anomaly resolution
• Utilize version control and collaboration tools such as Git
• Work within structured development processes (Agile/Waterfall/Sprint) and configuration management systems
• Troubleshoot software and system-level issues and perform root cause analysis

Desirable Skills & Certifications:

• Strong proficiency in C/C++ and Python for embedded and system-level software development
• Experience with real-time operating systems such as FreeRTOS or equivalent RTOS platforms
• Familiarity with spacecraft communication protocols (UART, SPI, I2C, CAN, SpaceWire, Ethernet) and telemetry/telecommand systems
• Experience in Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and simulation-based verification
• Knowledge of space software standards and practices (ECSS, NASA, ISRO, MISRA C guidelines)
• Proficiency in version control and development workflows using Git and CI/CD practices
• Understanding of embedded systems, firmware development, and hardware-software integration

We are looking for a Senior Mobile Developer with deep React Native expertise to lead feature development on our investor-facing and advisor-facing mobile applications. You will own critical mobile modules end-to-end — from architecture through App Store release — and actively integrate AI capabilities into the mobile experience.

Key Responsibilities

●    Design and develop high-quality, production-grade React Native features for iOS and Android apps serving retail investors and wealth advisors.

●    Own module-level architecture decisions: navigation, state management, offline handling, performance optimisation, and security.

●    Integrate with backend APIs for real-time portfolio data, transaction processing, KYC workflows (Digilocker, V-CIP, eSign), UPI, and payment flows.

●    Implement AI-powered mobile features: intelligent recommendations, conversational interfaces, AI-assisted portfolio insights, and smart alerts.

●    Write unit tests, integration tests, and E2E tests; maintain high coverage on critical modules.

●    Conduct thorough code reviews; mentor junior and mid-level mobile engineers.

●    Optimise app performance: startup time, frame rates, memory profiling, and battery usage.

●    Manage app release pipelines: CI/CD, TestFlight/Play Console beta, App Store/Play Store deployment, and OTA updates.

●    Collaborate with Product, Design (Figma), and Backend teams in Agile sprints.

Required Qualifications

●    4–8 years of mobile development experience with 3+ years in production React Native apps.

●    Strong JavaScript/TypeScript fundamentals; deep understanding of React hooks, context, and performance patterns.

●    Experience with state management (Redux Toolkit, Zustand, or Jotai) and navigation (React Navigation v6+).

●    Hands-on with native modules/bridging when React Native abstractions are insufficient.

●    Experience with mobile CI/CD (Fastlane, GitHub Actions, Bitrise, or equivalent).

●    Knowledge of mobile app security: certificate pinning, biometric auth, secure storage, jailbreak/root detection.

●    B.Tech / B.E. in Computer Science or equivalent from a reputed institution.

Good to Have

●    Experience in fintech or BFSI mobile apps — MF transaction apps, trading apps, insurance apps, or payment apps.

●    Familiarity with SEBI/AMFI/IRDAI compliance requirements for digital financial products.

●    Exposure to LLM integration on mobile: streaming responses or AI assistant UX patterns.

●    Experience with React Native New Architecture (Fabric, JSI, TurboModules).

AI Expectations

●    Use AI coding assistants (GitHub Copilot, Cursor, Claude) as standard daily practice.

Responsibilities Include:

● Architecting, building, testing, and deploying applications that support our transportation network

● Modifying designs and specifications of complex applications

● Collaborating and adding value through participation in peer code reviews, providing comments and suggestions

● Leverage AWS and other cloud technologies to design and implement systems in a serverless and event-driven environment

● Working with technical and non-technical end-users, other engineers, and product managers in a cross-functional, quick-moving, and collaborative environment

● Analyzing code, requirements, system risks, and software reliability and providing recommendations on how to leverage our technology more efficiently

● Working with Product and Design to confirm requirements, prioritization, and development of new features

● Design and implement LLM-powered features to solve complex logistics challenges, automate manual operational workflows, and unlock new efficiencies for our network.

● Champion AI-assisted engineering practices by integrating machine learning and intelligent automation into our CI/CD pipelines to predict deployment risks and accelerate delivery cycles.

What You Bring:

● Ability to adapt to changing requirements and work in a fast-paced environment.

● Ability to work effectively in a cross-functional team environment.

● 7+ years of experience building, testing and deploying applications in high-traffic production environments

● 7+ years of experience developing software with Javascript, Node.js and React

● Enjoys taking initiative, is a self-starter, willing to move fast and ship quick, and is excited about collaborating on big challenges

Preferred Qualifications:

● Experience in transportation, logistics or network orchestration systems is highly desirable

● Experience working in a remote first environment.

● Proficiency with AWS, GCP, or similar cloud platforms.

● Strong skills in React and Node.js for end-to-end development. 

We are looking for an Android Developer to build high-quality native Android applications used by thousands of users. You will work across the full app lifecycle, from architecture to Play Store release.

Responsibilities

• Build and maintain native Android apps using Kotlin and the Android SDK
• Develop modern UIs with Jetpack Compose
• Apply MVVM architecture and clean code practices
• Integrate REST APIs using Retrofit and manage local data with Room
• Improve app performance, stability and battery efficiency
• Publish and maintain apps on the Google Play Store

Requirements

• 1+ years of Android development experience with Kotlin
• Hands-on experience with Jetpack Compose and MVVM
• Experience with Retrofit, Room and coroutines
• Understanding of the Android app lifecycle and material design guidelines
• Experience with Git and CI tools for mobile builds