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NetraDyne

AI-powered fleet safety dash cam analytics

Senior Hardware Engineer

Hardware Validation & Testing +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Electronics and Communication Engineering or Electrical and Electronics Engineering.
  • At least 3 years of experience in hardware development, bring-up, testing, and debugging.
  • Proficiency in OrCAD, Mentor, Cadence, and Excel.
  • Strong problem-solving and hardware-debugging skills.
  • Knowledge of design schematics, printed circuit boards, and Gerber reviews.
  • Hands-on experience with bring-up and field-installed system debugging for products.
  • Experience with test and measurement equipment, including high-end oscilloscopes and logic, spectrum, and vector network analyzers.
  • Understanding of cellular technologies such as GSM, LTE, and 5G.

Responsibilities

  • Test, debug, and review high-speed system hardware, including CPU, LPDDR4/4x, MIPI-CSI/DSI, SDIO, eMMC/UFS, FPGA/CPLD, LDO, SMPS, POL, and industry-standard buses including I2C, SPI, UART, PDM for DMICs, I2S, and CAN.
  • Gather field data and analyze field issues.
  • Work with the software team to solve system-level issues.
  • Qualify systems for ESS, EMI, and EMC.
  • Collaborate with cross-functional teams, including Software, Mechanical, ECAD, BSP, CE, SCM, and OEM vendors.
  • Support manufacturing to ensure reliable production quality.
  • Design test development and strategy, such as PTS, and provide sustaining test support throughout the product life cycle.

Desired Qualifications

  • Design experience with QCOM or NVIDIA platforms.
  • Prior experience working with product companies.
  • Experience with camera sensors and AI processors.
  • Basic SQL and Python scripting.

About the Company

NetraDyne

AI-powered fleet safety dash cam analytics

NetraDyne provides AI-powered safety solutions for commercial fleets. Its main product is an AI-driven dash cam that analyzes driver behavior in real time, detects risky actions (like texting or drowsiness), and issues audio alerts to help drivers correct behavior. Beyond recording, it converts data into actionable insights for fleet managers, enabling remote monitoring, driver coaching through recommended videos, and rewards for safe driving. Revenue comes from selling the technology and a subscription-based software platform for proactive safety, traffic-violation detection, and performance analytics. The company differentiates itself by focusing on proactive, data-driven safety and coaching to prevent incidents, rather than merely recording events. Its goal is to reduce accidents and create safer, smarter roadways for commercial fleets.

Company size
1,001-5,000
Company stage
Series D
Total funding
$352.5M
Headquarters
San Diego, CA
Founded
2015

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