Embedded System Design Senior Engineer (Fixed Tenure)

JOBID: ENGG/RRDTP/2026/002

Embedded System Design Senior Engineer — 2026

INTRODUCTION

We are inviting applications for Embedded System Design Senior Engineer (Fixed Tenure) positions for 2026 from skilled, curious, and highly motivated engineers who want to build life-altering technology and gain hands-on experience across the complete product-development lifecycle.

This opportunity is intended for engineers who have demonstrated the ability to build, execute, troubleshoot and deliver real engineering projects across embedded hardware, low-power systems, wireless technologies, wearables, IoT, intelligent devices and next-generation product engineering.

Freshers without demonstrable Product Development experience or Project Deliverable Execution experience need NOT apply. Academic projects alone, without evidence of meaningful engineering execution, prototype development, testing, integration or delivery, will generally not meet the experience expectations for this position.

Candidates with prior industry experience, career breaks, or gaps in employment are also encouraged to apply. We value demonstrable engineering capability, problem-solving ability, ownership, curiosity and practical product-development experience alongside conventional academic credentials.

The role provides exposure to the complete technology-development journey — from system architecture, electronics design and prototyping through firmware/software interaction, product validation, manufacturing coordination, EMS engagement, and site-level engineering support.

Application Requirements

For candidates proceeding to formal evaluation, the following may be requested:

• Resume / CV
• Cover Letter
• Reference Letters, where applicable
• Engineering Case Studies / Project Portfolio
• Self-Assessment Form
• Relevant GitHub, technical documentation, prototypes, publications, product-development records, or other evidence of engineering work

Incomplete applications may not be considered for further evaluation.

Please mention JOBID: ENGG/RRDTP/2026/002 in your application and email the required documents to:

[email protected]

SUMMARY

| Category | Details |
| --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
| Designation | Embedded System Design Senior Engineer — Fixed Tenure |
| Functional Area | Low-Power Embedded System Design & Product Engineering |
| Location | Pune / Delhi |
| Tenure | 09 Months — Fixed Tenure |
| Technology Areas | Embedded Systems, Low-Power Electronics, Wireless, Wearables, IoT, Intelligent Devices |
| Core Skills | Microcontrollers, Electronics & Electrical System Design, Embedded Programming, Hardware Debugging, Prototyping |
| Wireless / Connectivity | Bluetooth LE, BLE Mesh, BLE Long Range (LE Coded PHY), BLE Audio, Wi-Fi and related wireless technologies |
| MCU / SoC Platforms | Nordic nRF52 / nRF53/54series, ESP-class MCUs, STM32, ARM-based platforms and other low-power architectures |
| Compute Platforms | ARM MCU/MPU, GPU-enabled systems, heterogeneous compute platforms |
| Advanced Modeling | Stochastic Models, Generative Learning, model-assisted engineering and intelligent embedded-system workflows |
| Product Domains | Wearables, Hearables, IoT, Medical / Diagnostic Electronics, Mil-Grade Technology, Intelligent Electronic Systems |
| Qualification | UG / PG in Embedded Systems, Electronics, Electrical & Electronics, Computer Science, Robotics, System Design or related disciplines |
| Compensation | Up to USD 0.6k/month, depending on experience, demonstrated capability and education status |

RESPONSIBILITIES

1. Embedded Product & System Design

• Participate in the conception, architecture, design, development, integration and testing of product prototypes and proof-of-concept systems.
• Develop and maintain system architectures, high-level design documents, schematics, interface definitions, design specifications and eBoMs.
• Translate product, engineering and user requirements into practical embedded hardware and system-level designs.
• Develop new designs and enhance existing products, prototypes and technology platforms.
• Support architecture decisions involving MCUs, MPUs, sensors, connectivity, displays, audio, memory and compute resources.
• Perform engineering trade-offs involving power consumption, performance, cost, size, reliability, manufacturability and component availability.

2. Nordic / Low-Power Wireless Platforms

• Work with Nordic Semiconductor nRF52 and nRF53 series and comparable low-power wireless MCU/SoC platforms.
• Develop and evaluate applications using Bluetooth Low Energy (BLE).
• Work with BLE Mesh, including node concepts, provisioning, network behaviour and low-power mesh applications.
• Understand and work with BLE Long Range / LE Coded PHY for extended-range applications.
• Develop or support BLE Audio architectures and applications, including relevant audio/data paths, wireless interfaces and power considerations.
• Evaluate wireless architectures for wearables, IoT, sensors, industrial and distributed embedded systems.
• Support wireless debugging, RF-related system validation and interoperability testing where applicable.

3. Hardware & Electronics Engineering

• Perform component selection and engineering evaluation.
• Design schematics and support PCB design, layout review and board-level implementation.

• Design and integrate interfaces for:

  • Sensors and MEMS
  • Displays and wearable interfaces
  • Touch interfaces
  • Audio systems
  • Battery and power-management systems
  • Storage and memory
  • Communication interfaces
  • Medical / diagnostic sensors
  • Algorithmic and environmental sensors

• Perform prototype board bring-up, validation, debugging and failure analysis.

• Identify and resolve hardware issues during development.

• Develop engineering test plans, validation procedures and technical reports.

• Participate in hardware teardown, reverse engineering and redesign activities where appropriate.

4. MCU / MPU / GPU & Advanced Computational Systems

• Work with ARM-based MCUs and MPUs, including systems requiring higher-performance application processing.
• Understand the practical differences between MCU-, MPU- and GPU-enabled architectures.
• Support products using GPU / graphics acceleration, display pipelines, computer vision or other compute-intensive workloads.
• Evaluate memory, compute, power and thermal requirements for embedded compute platforms.
• Support integration between low-power real-time controllers and higher-performance application processors.

5. Stochastic Models & Generative Learning

• Apply Stochastic Models and Generative Learning concepts where appropriate to embedded product development, intelligent sensing, signal processing, system optimisation and engineering workflows.
• Provide Stochastic Model / Generative Learning Design Support for architecture exploration, technical analysis, engineering documentation, test planning and design evaluation.
• Explore practical applications of generative learning techniques in embedded product development and intelligent-device workflows.
• Evaluate model-generated engineering outputs critically and validate them against engineering requirements, measurements, specifications and experimental results.
• Understand the limitations, uncertainty and failure modes associated with stochastic and generative approaches.
• Maintain engineering judgment, technical traceability, IP protection and design-review discipline when applying these technologies.

6. Firmware / Embedded Software Interaction

• Work closely with firmware and embedded-software engineers during hardware development and system integration.
• Support driver development, peripheral integration and hardware-abstraction requirements.
• Understand and work with RTOS, embedded Linux and operating-system internals where applicable.
• Support debugging across hardware, firmware, drivers and system interfaces.
• Work with embedded GUI frameworks and display technologies where relevant.

7. Manufacturing, EMS & Productisation

• Interact directly with Design, Manufacturing, Fabrication, Integration and EMS (Electronics Manufacturing Services) partners.
• Support transition of prototypes toward manufacturable product designs.
• Review manufacturing feedback and identify design-for-manufacturing / design-for-assembly improvements.

• Coordinate with manufacturing partners on:

  • PCB assembly
  • Component availability
  • Manufacturing constraints
  • Assembly issues
  • Test fixtures
  • Production testing
  • Yield and quality issues
  • Engineering change requirements

• Participate in EMS / manufacturing site visits when required for prototype builds, production support, debugging, validation, process understanding or engineering qualification.

• Be comfortable working directly with external vendors, fabricators, manufacturers and technology partners.

8. Cross-Functional Product Development

• Work closely with Product Management, Hardware, Firmware, Embedded Software, Mechanical, Industrial Design, Algorithms, Manufacturing and Quality teams.
• Understand and support engineering requirements across the complete product lifecycle.
• Participate in design reviews, technical discussions, prototype evaluations and engineering problem-solving sessions.
• Communicate technical issues clearly and document decisions, risks and corrective actions.

TECHNICAL SKILLS

Embedded Platforms

• Strong or developing knowledge of Nordic nRF52 / nRF53/54 series and low-power wireless SoCs.
• Familiarity with STM32, ESP-class MCUs, ARM Cortex architectures and other low-power controllers.
• Understanding of ARM-based MCU and MPU architectures.
• Exposure to GPU-enabled embedded compute platforms is highly desirable.

Embedded Development

• Experience with one or more embedded development environments such as SEGGER Embedded Studio, VS Code, Keil, IAR, GCC/toolchain-based environments or equivalent.
• Experience with embedded C/C++ and practical firmware-development workflows.
• Experience with peripheral drivers, hardware abstraction, debugging and board bring-up.
• Familiarity with RTOS internals, embedded Linux and operating-system concepts.

Interfaces & Connectivity

Strong understanding of embedded interfaces, particularly:

• I²C
• SPI
• UART
• USB
• GPIO
• PWM
• ADC / DAC
• Ethernet
• CAN / CAN-FD where applicable
• Bluetooth / BLE
• BLE Mesh
• BLE Long Range / LE Coded PHY
• BLE Audio
• Wi-Fi
• Cellular / GSM
• GNSS / GPS
• Other wired and wireless interfaces as required

Embedded Wireless

• Strong understanding of Bluetooth Low Energy concepts.
• Familiarity with BLE profiles, services, characteristics, GATT/GAP and power-management considerations.
• Exposure to BLE Mesh is highly desirable.
• Exposure to BLE Long Range is highly desirable.
• Exposure to BLE Audio is highly desirable.
• Understanding of wireless power/performance trade-offs and real-world connectivity limitations.

Embedded UI / Graphics

• Familiarity with embedded GUI technologies such as LVGL or equivalent frameworks.
• Understanding of display controllers, touch interfaces and graphics pipelines.
• Exposure to GPU acceleration / embedded graphics is advantageous.

Hardware Engineering

• Strong understanding of electronic circuits and digital/analog system design.
• Schematic capture and PCB design experience.
• Component selection and technical evaluation.
• Board bring-up, debugging and validation.
• Ability to use laboratory equipment such as oscilloscopes, logic analysers, multimeters, power analysers and other electronic test equipment.
• Ability to perform structured hardware troubleshooting and root-cause analysis.

Product Engineering

• Understanding of Design for Manufacturing (DFM) and Design for Assembly (DFA) principles.
• Exposure to prototype manufacturing, PCB assembly, EMS processes and engineering change workflows.
• Willingness to interact directly with vendors, manufacturing partners and external engineering teams.
• Willingness and ability to undertake manufacturing / EMS site visits as part of product development.

Stochastic Models & Generative Learning

• Familiarity with Stochastic Models, probabilistic systems, generative learning and model-based engineering approaches.
• Ability to understand model inputs, outputs, assumptions, uncertainty and validation requirements.
• Experience applying generative learning to signal processing, embedded intelligence, sensor systems, optimisation, prediction or engineering workflows is advantageous.
• Ability to distinguish between model-generated suggestions and verified engineering results.

PRODUCT / DOMAIN EXPERIENCE

Candidates with experience in any of the following are particularly encouraged to apply:

• Wearables / Smartwatches
• Hearables / TWS / Headphones
• BLE-enabled products
• BLE Mesh systems
• BLE Long Range applications
• BLE Audio products
• IoT devices
• Low-power sensor systems
• Medical / diagnostic electronics
• Industrial electronics
• Mil-Grade / rugged electronics
• Battery-powered embedded products
• Intelligent edge devices
• Embedded Linux / MPU platforms
• GPU-enabled embedded systems
• Robotics and autonomous systems
• Consumer electronics
• Hardware reverse engineering / product teardown

HARDWARE HACKING & ENGINEERING MINDSET

A strong candidate should be comfortable taking apart existing electronic products and asking:

How does this work? Why was it designed this way? Can it be measured? Can it be improved? Can it be redesigned?

Candidates may be expected to demonstrate practical ability in:

• Product teardown
• Circuit identification
• Interface discovery
• Datasheet and component research
• Reverse engineering
• Hardware modification
• Debugging
• Prototype redesign
• Engineering experimentation

We value candidates who can build, break, measure, learn and rebuild.

EXPERIENCE REQUIREMENT — IMPORTANT

Freshers without Product Development experience or Project Deliverable Execution experience need NOT apply.

This is not an entry-level academic training position.

Candidates are expected to demonstrate evidence of having taken an engineering project from a defined requirement or problem through meaningful stages of design, implementation, integration, testing, debugging and deliverable execution.

Examples may include:

• A functional hardware prototype
• A working embedded product
• A deployed IoT / wearable / electronics system
• A completed engineering development project
• A product or prototype developed within a startup or engineering organisation
• A substantial independently executed engineering project with measurable deliverables
• Hardware/firmware integration work resulting in a functioning system

Academic coursework or classroom assignments alone will generally not qualify as Product Development or Project Deliverable Execution experience.

Candidates with career gaps or who are returning to the technology workforce are welcome to apply provided they can demonstrate relevant prior engineering/product-development capability.

REQUIREMENTS

• UG / PG qualification in Embedded Systems, Electronics, Electrical & Electronics, Computer Science, Robotics, System Design or a related engineering discipline.
• Demonstrable Product Development and/or Project Deliverable Execution experience.
• Strong analytical and problem-solving ability.
• Ability to work independently while contributing effectively within a multidisciplinary engineering team.
• Willingness to learn unfamiliar technologies quickly.
• Self-management, ownership and strong execution discipline.
• Ability to document engineering work clearly.
• Good communication skills with engineers, designers, vendors and manufacturing partners.
• Willingness to work hands-on with prototypes and laboratory equipment.
• Willingness to interact with Design, Manufacturing and EMS partners.
• Willingness to undertake manufacturing / EMS site visits when required.
• Candidates from technology-product startups, core-engineering companies and hardware-focused organisations are preferred.

WHAT WE VALUE

We are particularly interested in engineers who demonstrate:

Curiosity over credentials.
Engineering depth over buzzwords.
Evidence of building over claims of knowing.
Ownership over supervision.
Execution over theory.
Experimentation over assumption.
Learning velocity over a static skill set.

Candidates who have built meaningful products or prototypes, delivered engineering projects, developed hardware/firmware systems, contributed to open-source projects, published technical work, participated in engineering competitions, reverse-engineered products, or independently developed technically significant systems are encouraged to demonstrate this clearly in their application.

APPLICATION

Please include:

1. Resume / CV
2. Cover Letter
3. Engineering Case Study / Project Portfolio
4. Reference Letters, where available
5. Self-Assessment Form
6. Relevant technical links, GitHub repositories, publications or project documentation, where applicable

Please clearly mention:

JOBID: ENGG/RRDTP/2026/002

Send applications and supporting documents to:

[email protected]

Incomplete applications may not be considered for further evaluation.