Netradyne

Senior/ Staff Engineer - CAN Developer

Bengaluru, India
C++ Git
Description

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.

Essential Skills

  • Expertise in C/C++ programming, Linux internals, microcontroller bring-up, and firmware development with interfaces such as UART, SPI, and I2C.
  • Track record of delivering projects/features on time and participating in design and code reviews.
  • Experience with Git will be an added advantage.
  • Experience in Diagnostics and Boot loader of Engine ECU using UDS, KWP, ISO-TP, and TP2.0 protocol.
  • Working experience in different physical mediums like CAN, ISO-15031, ISO-14229, ISO-14230, ISO-TP, J1939, TP2.0, LIN, RS232, I2C, and SPI.
  • Experience in using tools like INCA, Comate, Universal Debuggers, and Enterprise Architect.
  • Experience testing using Canalyzer or CANoe.

Good to Have  Skills

  • Exposure to Wi-Fi/BT/LTE
  • In-depth understanding of OS
  • Exposure to IoT system

Key Responsibilities:

CAN Communication:

  • Develop and implement software for CAN (Controller Area Network) communication.
  • Develop CAN based alerts and work with protocols such as UART, J1939, OBD2, OBD2 extended, UDS, J1708 etc.
  • Develop newer CAN firmware modules including UDS and WWH-OBD.

OBD Dongle Support:

  • Monitor and support WiFi-BT based OBD (On-Board Diagnostics) dongle.
  • Experience in using tools to simulate CAN, UART, J1939, OBD2, OBD2 extended, UDS, J1708 data.

Software Development:

  • Design and develop software using C/C++.
  • Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
  • Creating and debugging modular, scalable software design which is scalable to future requirements.

Test Automation & Cloud Services:

  • Automate test cases and use cases for feature testing and end-to-end testing.

Team Collaboration:

  • Work closely with the Product Management and Product Success Team to enhance J1939/ODBII solutions across makes and models, correcting root cause issues, fixing bugs, and adding proprietary ECM PIDs and features.
  • Collaborate with team members in India to develop features and resolve issues.

 

Qualifications and Education Requirements

BE/ME Or BTECH/MTECH in a related field

We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

If there is a match between your experiences/skills and the Company's needs, we will contact you directly.

Netradyne is an equal-opportunity employer.

Applicants only - Recruiting agencies do not contact.

Recruitment Fraud Alert!

There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.

Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.

 

Netradyne
Netradyne
Analytics Artificial Intelligence (AI) Fleet Management Location Based Services Machine Learning

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