Embedded Engineer (Automotive)

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

We are looking for Embedded Developer with Leading Global MNC - Faridabad

Description:

• Strong experience with 32-bit microcontrollers such as STM32, NXP, Renesas, TI, Microchip, etc.
• Excellent knowledge of C/C++ programming and exposure to Assembly.
• Strong experience with RTOS such as FreeRTOS, µC/OS, embOS, VxWorks, QNX, etc.
• Hands-on experience in developing HAL, BSP and low-level device drivers.
• Strong understanding of microcontroller peripherals and interfaces** including ADC, DAC, I2C, SPI, UART, CAN/CAN FD, RS485, DMA, Ethernet, SD/eMMC, SDIO, etc.
• Strong experience with Automotive communication protocols such as CAN, CAN FD, LIN, J1939 and UDS.
• Knowledge of AUTOSAR concepts and architecture is an advantage.
• Experience with automotive diagnostics, ECU communication, and vehicle network architecture.
• Hands-on experience using Oscilloscope, Logic Analyzer, Function Generator, Multimeter and other debugging equipment.
• Experience in board bring-up, hardware-software integration and debugging of embedded boards.
• Ability to debug power, clock, reset, communication interfaces, and peripheral-related hardware issues at board level.
• Good understanding of schematics, PCB layouts and electronic circuits around microcontrollers and ARM-based systems.
• Ability to work closely with hardware engineers for design reviews, component selection, hardware validation, and issue resolution.
• Experience with prototype board testing, hardware validation, and root-cause analysis of HW/SW issues.
• Experience in reverse engineering and debugging of embedded systems.
• Strong understanding of embedded system architecture and system-level design.
• Experience with Embedded Linux and/or RTOS-based systems is an advantage.
• Knowledge of networking concepts including OSI layers, TCP/IP stacks and common IP protocols is a plus.
• Knowledge of NMEA/NMEA 2000 standards is a plus.
• Exposure to ASPICE, ISO 26262, MISRA-C and automotive cybersecurity is an advantage.
• Experience with automotive development and debugging tools such as Vector CANoe/CANalyzer is a plus.

Roles & Responsibilities:

The right person for this position should have 7+ years of experience in Embedded Systems, preferably with strong exposure to Automotive Embedded Systems.

The candidate should be passionate, technology-driven, and have a strong interest in embedded devices, automotive electronics, IoT, and connected vehicle technologies.

The candidate should be capable of understanding system and product requirements, translating them into technical tasks and solutions, and working as a senior technical individual contributor while collaborating effectively with cross-functional teams.

🚀 We’re Hiring | Senior R&D Manager – Smart Devices

📍 Location: Bengaluru, India

💼 Experience: 15+ years

🔹 Work Mode: On-site

🟥Key Responsibilities:

🔹Lead and mentor engineering teams working on embedded OS and user experience.

🔹Drive architecture, development, validation, release, and product sustenance.

🔹Provide technical leadership across Android OS, Embedded Linux, BSP, system services, and device integration.

🔹Guide platform-level development involving AOSP, Android Framework, middleware, HAL, and embedded systems.

🔹Collaborate with cross-functional teams to deliver reliable, high-quality smart-device solutions.

✅ What We’re Looking For

🔹15+ years of experience in software/embedded engineering.

🔹Strong expertise in Android Platform / AOSP, Android Framework, HAL, BSP, and device integration.

🔹Experience with Android-based hardware products such as smart devices, tablets, wearables, kiosks, automotive infotainment, or other embedded products.

🔹Proven engineering leadership, people management, coaching, and team development experience.

🔹Embedded Linux / Yocto experience is an added advantage.

🔹6+ years of direct people management experience preferred.

📩 Interested or know someone suitable? Share your updated CV : snigdhaattheratebeanhr.com

Apply and complete the screening questions on Just Interview:

https://app.justinterview.ai/apply/10004917?src=cutshort

Company: Lucid Growth Media

Website: https://lucidgrowthmedia.com/

Department: Engineering

Employment type: Full-time

Work mode: On-site

Job location: Shyamnagar, Jaipur, Rajasthan

Minimum experience: 3 years of professional experience

Maximum experience: 5 years of professional experience

Prior on-site development-team experience: At least 2 years

Monthly take-home salary: ₹40,000–₹60,000 — up to ₹60,000, based on demonstrated capability and relevant experience. The offer will include a salary breakdown.

Working schedule: Monday to Saturday; second and fourth Saturdays off. Sundays off.

Shift timing: 9:00 AM–6:00 PM (9-hour shift)

Application deadline: 30 September 2026

Skills: Kotlin, native Android, UI automation, accessibility services, Android lifecycle and permissions, ADB, logcat, API integration, local persistence, Git and signed releases.

Job description

Own the reliability of Android automation software running on devices and emulators. You will improve existing native components, diagnose failures, integrate execution with backend services and ensure that reported outcomes match what actually happened.

This is a native engineering role requiring Kotlin, Android lifecycle knowledge and practical device debugging. You will work alongside backend, integration and browser automation engineers. Company-provided AI coding tools support the work.

Responsibilities

- Develop and maintain Kotlin components for authorised UI automation and device interaction.

- Handle lifecycle changes, permissions, background execution, interruptions and recovery.

- Diagnose device/emulator problems using ADB, logs and reproducible scenarios.

- Integrate job execution and result reporting with backend APIs, with durable state and sensible retries.

- Improve state detection, timeout handling and truthful success/failure reporting.

- Maintain tested builds, secure credential handling, signing and controlled rollouts.

- Plan changes as tracked tasks and document tests, evidence and operating notes before closure.

Required skills and experience

- Production Kotlin and native Android experience, including services, lifecycle, permissions and concurrency.

- Hands-on native UI automation or accessibility-service development and a clear understanding of platform constraints.

- Strong ADB, logcat and debugging skills across real Android devices and emulators, including remote device diagnosis and reproducible failure reports.

- API integration, local persistence, recovery and automated testing experience.

- Git review and release practices, including build/signing security and safe handling of sensitive information.

- Clear written English for reproduction steps, technical plans, test results and handover notes.

- Examples of independently diagnosing a failure and improving a solution after review.

Experience with cross-platform app bridges, device fleets or repeatable automation test environments is useful. We will assess native engineering and recovery skills directly through a small provided sample.

How we work and hire

Work follows documented tasks, approval, implementation, review and verification. We value early escalation of blockers and honest reporting of results.

Selection includes a short AI-assisted initial interview, an approximately 60–90-minute practical using synthetic material, and an on-site technical discussion. Final hiring decisions include human review.

Sr. Software Engineer

Job Type: Contractor (~15 hrs a week)

Location: Remote

Schedule: Flexible, you pick the hours and days (including weekends if desired)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

You'll create realistic, interesting and challenging coding tasks for AI to solve involving feature implementation and bug fixes, and implement deterministic verifiers that accept reasonable valid solutions and reject everything else.

What we're looking for

1. Strong backend experience in Java, Node.js, Go, Rust, Typescript, Python, C++ or similar
2. A track record building scalable services and APIs
3. Comfort with debugging, performance work and automated testing
4. Solid code review instincts
5. A strong testing background is a big plus — experience designing test strategy, building and maintaining large test suites, diagnosing flaky tests, or raising the testing bar on a team.

Preferred Qualifications

1. Proven experience in backend development, with a track record of delivering high-quality and performant projects.
2. Demonstrated success in identifying and resolving software bugs and system bottlenecks.
3. Experience with codebase refactoring and implementing complex features in large-scale applications.
4. Strong understanding of algorithms, data structures, and foundational computer science concepts.
5. Excellent analytical, problem-solving, and technical communication skills.

A note on the process: our interview and assessment stages are designed to see how you think, so we ask that you complete them without outside assistance. The same applies once you're on the project — the value of the work comes from your own judgment.

Process:

1. Apply to the role, filling out the screening questions
2. Complete AI Interview (approx. 30 minutes)
3. Technical Assessment (Tentative)
4. Hiring Manager review

Staff Engineer - AI:

Location : India, Remote

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

• Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
• Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
• Effectively communicate complex design and architecture details
• Understand company and industry-wide trends to help develop new technologies
• Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
• Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

• BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
• 8-15 years of professional experience in engineering with a history of technical innovation
• Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

• The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
• Demonstrated success in designing and developing large-scale, complex systems
• Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

Job Description

Who are we?

Interestingly, in our own corner of the world, a hardworking team bent on hyper-excellence has quietly built a new way of medicine, a platform built on science, story, and soul.

Think of Amura as a "hospital on the cloud." We help people achieve the best standard of health they possibly can, taking full responsibility for their journey. We're a team of curious, ambitious individuals across all fields of work. Here, Doctors work alongside health coaches, designers, engineers, writers, and even filmmakers.

A cloud can reach anywhere and so can we. Our patients are from all over the world, and we are changing lives globally from your new home in Chennai. Over the last 8 years we have helped tens of thousands of people live better lives across 45 countries. 

Role Overview

We are looking for a hands-on Senior Software Engineer - Mobile to build and scale high-quality mobile experiences at Amura Health.

You will work primarily with React Native across both Android and iOS, partnering closely with Product, Design and Backend teams to build reliable, performant and user-friendly applications.

This role is ideal for an engineer who takes ownership, solves problems independently and uses AI-assisted development to build, test, debug and ship software faster without compromising engineering quality. 

What you'll do :

● Build, enhance and maintain React Native applications for both Android and iOS.

● Build features involving APIs, real-time updates, chat, notifications, local storage and data synchronisation.

● Develop scalable and maintainable mobile architecture with strong focus on performance, reliability and code quality.

● Develop scalable and maintainable mobile architecture with strong focus on performance, reliability and code quality.

● Work closely with Product, Design and Backend teams to translate requirements into simple, effective mobile experiences. 

● Diagnose and resolve performance issues, crashes, bugs and production problems.

● Implement secure handling of user data, authentication and API communication.

● Write unit, integration and UI tests and contribute to reliable release processes.

● Own features end-to-end, from understanding requirements and development through testing, release and iteration.

● Use AI coding tools to accelerate development, debugging, testing, code reviews and technical problem-solving.

● Proactively identify technical challenges and recommend practical solutions. 

What We're Looking For :

● 5 to 6 years of hands-on mobile application development experience.

● Strong professional experience with React Native and TypeScript.

● Mandatory: Experience building and maintaining applications for both Android and iOS.

● Strong understanding of React Native architecture, mobile app lifecycle, state management, API integration and performance optimisation.

● Experience working with REST APIs, authentication, local storage, push notifications and asynchronous data flows.

● Experience debugging and resolving Android/iOS-specific issues and production bugs.

● Good understanding of mobile security, data handling and secure API communication.

● Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot or similar to improve engineering productivity.

● Strong problem-solving skills with the ability to independently own and deliver features.

● Good product thinking and attention to detail. 

Good to Have :

● Experience with chat, voice, video or real-time communication features.

● Experience building AI-powered mobile experiences or integrating AI/LLM-based features.

● Experience with mobile analytics, crash monitoring and performance monitoring.

● Familiarity with CI/CD and automated mobile releases.

● Experience working on healthtech, consumer apps or products handling sensitive user data. 

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. 

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

About Company

We are building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.

About the Role

We are looking for a versatile, hands-on software engineer to join our growing team. You will work across embedded Linux systems, networking stacks, robotic middleware, and cloud-connected services. This role demands strong fundamentals, intellectual curiosity, and the ability to learn quickly — not just familiarity with buzzwords.

On-site, Bengaluru

Responsibilities

• Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
• Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS — for robot-to-cloud and inter-robot communication.
• Own CI/CD pipelines using ArgoCD, GitHub Actions, and containerized workflows to ship software to robots.
• Manage Docker-based deployment and runtime environments on robot and cloud infrastructure.
• Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
• Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
• Establish and enforce best practices around Git workflows, branching strategies, and code review.
• Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.

Requirements

All candidates must demonstrate solid, hands-on competency in every item listed below.

• Linux systems programming in C
• File I/O — read, write, seek, memory-mapped files
• Multi-threading — pthreads, mutexes, condition variables, thread safety
• Socket communication — TCP/UDP sockets, select/poll/epoll
• Basic data structures & algorithms — stack, heap, queue, linked list
• General comprehension ability — reading technical manuals, datasheets, and RFCs
• Python scripting
• Bash scripting
• Git — CLI usage, branching, merging, rebasing, conflict resolution
• Standard UML diagrams — flowchart, sequence diagram, deployment diagram
• Windowless text editor — vim, nano, or equivalent

Strong Advantage

• C++ programming — C++17, OOP, templates, STL
• Common network protocols — DHCP, ARP, TCP, UDP, DNS
• Network configuration — routers, switches, VLANs, subnetting
• Server-client application architecture
• P2P vs. centralised communication — DDS vs. MQTT
• Database management — SQL vs. NoSQL, schema design
• Network security — checksums (CRC, MD5, SHA), public-key encryption, digital signatures
• ROS2 framework — pub/sub, services, actions, lifecycle nodes, DDS transport
• CMake build system — targets, find_package, CTest integration
• Docker — Dockerfiles, docker-compose, remote image registries

Must-haves (non-negotiable)

• Strong Linux systems programming in C — multi-threading (pthreads), socket communication (TCP/UDP, epoll), and file I/O
• Hands-on experience with CI/CD pipelines (ArgoCD, GitHub Actions) and Docker-based deployments
• Networking expertise — TCP/IP stack, DHCP, DNS, iptables, inter-device communication
• Proficiency in Python and Bash scripting for fleet management and diagnostics
• ROS2 experience (pub/sub, DDS, lifecycle nodes) is a strong advantage