
- Design and implement software of embedded devices and systems from requirements to production and commercial deployment
- Design, develop, code, test and debug system software
- Review code and design
- Analyze and enhance efficiency, stability and scalability of system resources
- Integrate and validate new product designs
- Support software QA and optimize I/O performance

Similar jobs
Mode Employment – Fulltime and Permanent
Working Location: Bommasandra Industrial Area, Hosur Main Road, Bangalore
Working Days: 5 days
Working Model: Hybrid - 3 days WFO and 2 days Home
Position Overview
As the Lead Software Engineer in our Research & Innovation team, you’ll play a strategic role in establishing and driving the technical vision for industrial AI solutions. Working closely with the Lead AI Engineer, you will form a leadership tandem to define the roadmap for the team, cultivate an innovative culture, and ensure that projects are strategically aligned with the organization’s goals. Your leadership will be crucial in developing, mentoring, and empowering the team as we expand, helping create an environment where innovative ideas can translate seamlessly from research to industry-ready products.
Key Responsibilities:
- Define and drive the technical strategy for embedding AI into industrial automation products, with a focus on scalability, quality, and industry compliance.
- Lead the development of a collaborative, high-performing engineering team, mentoring junior engineers, automation experts, and researchers.
- Establish and oversee processes and standards for agile and DevOps practices, ensuring project alignment with strategic goals.
- Collaborate with stakeholders to align project goals, define priorities, and manage timelines, while driving innovative, research-based solutions.
- Act as a key decision-maker on technical issues, architecture, and system design, ensuring long-term maintainability and scalability of solutions.
- Ensure adherence to industry standards, certifications, and compliance, and advocate for industry best practices within the team.
- Stay updated on software engineering trends and AI applications in embedded systems, incorporating the latest advancements into the team’s strategic planning.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Extensive experience in software engineering, with a proven track record of leading technical teams, ideally in manufacturing or embedded systems.
- Strong expertise in Python and C++/Rust, Gitlab toolchains, and system architecture for embedded applications.
- Experience in DevOps, CI/CD, and agile methodologies, with an emphasis on setting and maintaining high standards across a team.
- Exceptional communication and collaboration skills in English.
- Willingness to travel as needed.
Preferred:
- Background in driving team culture, agile project management, and experience embedding AI in industrial products.
- Familiarity with sociocratic or consent-based management practices.
- Knowledge in embedded programming is an advantage.
Responsibilities:
IoT Deployment (on-field) and maintenance
Lead assembly, testing, and finalization of IoT products
Black Box Testing: BLE, WiFi
Integration testing: (IoT, backend, and Android)
Test report and deployment setup documentation
Apply quality engineering principles throughout the Agile product lifecycle.
Collaborate closely with cross-functional teams.
Required qualifications:
2021/2022 passed out B.Tech Graduate in ECE or EEE
Hands-on experience with microcontrollers like Arduino and ESP.
Knowledge of C programming language.
Excellent communication and critical thinking skills.
Good organizational skills and a detail-oriented mindset.
Ability to work in a fast-paced environment with minimal supervision.
Sense of ownership and pride in your performance and its impact on the company’s success.
Team player.
Good time management skills.
Preferred qualifications:
Good understanding of embedded and IoT systems.
Who can apply
Only those candidates should apply who
are available for full-time (in-office)
can start the Job immediately
are from Mumbai
have relevant skills and interests
Responsibilities:
- Design and implement embedded software applications for IoT devices using C programming language.
- Develop and maintain firmware for Raspberry Pi-based systems, ensuring optimal performance and compatibility with various IoT sensors and peripherals.
- Collaborate with hardware engineers to define and document system requirements and specifications.
- Conduct thorough testing and debugging of embedded software to identify and resolve any issues or bugs.
- Optimize code and improve system performance to enhance the overall user experience.
- Stay updated with the latest industry trends and technologies in embedded systems and IoT development.
- Work closely with the product management team to translate customer requirements into technical specifications.
- Provide technical support and guidance to the team during the development and deployment phases.
- Participate in code reviews and contribute to the continuous improvement of software development processes.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Strong proficiency in C programming language with a solid understanding of embedded systems.
- Experience developing software for Raspberry Pi or similar single-board computers.
- Knowledge of IoT protocols and technologies such as MQTT, CoAP, TCP/IP, and wireless communication (Wi-Fi, Bluetooth, etc.).
- Familiarity with various sensors, actuators, and electronic components commonly used in IoT devices.
- Solid understanding of software development methodologies and version control systems (e.g., Git).
- Strong problem-solving skills and the ability to debug complex issues in embedded systems.
- Excellent communication and teamwork skills to collaborate effectively with cross-functional teams.
- Prior experience in developing IoT applications or working on IoT projects is a plus.
Job Responsibilities
Responsibilities for this position include, but are not limited to, the following.
Understand requirements and create low-level design using UML
Develop embedded software as per defined software requirements
Software integration & testing
Background & Skills
Education:
B.E/B. Tech/M.Tech/Master (Electronics/Telecommunications/Computers Science)OR equivalent
Experience & Attributes:
2-8 years’ experience in Embedded system software design, development, and testing.
Excellent communication skills, spoken and written English
Must have specialized knowledge :
· Embedded C
· Electronics
· RTOS
· Knowledge of Microcontrollers (RISC, CISC)
· CAN Communication & Protocols like UDS, KWP2000, CANopen and J1939
· MISRA standard - 2000/MISRA 2012
· SDLC, Agile Scrum
· Static analysis & Tools like LDRA or QAC or Vector cast
· Change Management & Tools like JIRA/VSTS
· Version control & Tools like SVN/GIT/Clearcase
· Traceability management & Tools like Reqtify or equivalent
· Design methodologies - like UML
· Software Test Life Cycle
Specialized knowledge – Will be Preferred
· Functional Safety life-cycle & Management - Applies to software design & development
· Safety standards like - IEC-61508, ISO-26262, ISO-25119, ISO-13849
Key Tasks and Responsibilities
· Software requirement specification writing
· Creating design for assigned modules
· Implementing the code for assigned requirements
· Perform unit testing
· Perform peer reviews or inspection of software work products
· Support testing team on defect analysis
· Adhere to Quality processes
- Developing HMI application in Qt or similar UI frameworks
- Develop C++ or Rust backends for the HMI
- Understand and optimize potential performance bottlenecks
2) Experience in protocols like UDS and CAN.
3) Experience in AUTOSAR(COM, DCM and MCAL).
4) Experience in CANoe and CAN analyzer tools.
5) Experience in Compiler and Debugging.
6) Experience in using Configuration Management.
7) Knowledge and experience in Rational Rhapsody would be advantageous.
Additional Skills:
1) Good analytical & communication skills.
2) Willingness to take up responsibility & ownership.
3) Self-learning & Self-motivated with a good learning curve.
4) Adaptive & Flexible to challenging situations.








