About the role
Position: Hardware Engineer – Two-Wheeler Connected TCU & Cluster Development Location: Bangalore Company : Karnex software solution Industry: Automotive, Telematics, Connected Vehicles
Job Summary:We are looking for a highly skilled Hardware Engineer to lead the development, selection, and integration of hardware components for our Two-Wheeler Connected TCU and Digital Cluster solutions. The ideal candidate will play a crucial role in defining the Bill of Materials (BOM), electrical and mechanical design, PCB layout, and system integration. This individual should have deep expertise in automotive-grade hardware, PCB design, power management, and connectivity solutions. The role requires close collaboration with ODM partners, chipset manufacturers, and cross-functional teams to bring innovative connected two-wheeler solutions to market.
Key Responsibilities:
- Hardware Architecture & Development:
- Define and develop hardware architecture for two-wheeler connected TCU & cluster solutions.
- Lead the selection of chipsets, sensors, controllers, and connectivity modules (4G/5G, GNSS, Bluetooth, WiFi, V2X).
- Oversee the PCB design, layout, and component placement to meet performance, thermal, and reliability requirements.
- Bill of Materials (BOM) & Component Selection:
- Define and optimize BOM for cost-effective, high-performance, and automotive-grade components.
- Evaluate and source processors, memory, power management ICs, RF modules, and interface components.
- Work closely with Qualcomm, MediaTek, NXP, STMicroelectronics, and other chipset vendors.
- Connectivity & Communication:
- Design and integrate cellular, GNSS, WiFi, Bluetooth, and V2X communication hardware for telematics and infotainment systems.
- Ensure compatibility with automotive networking protocols (CAN, LIN, Ethernet, UDS, SPI, I2C, UART).
- Power Management & Thermal Design:
- Develop efficient power distribution and thermal management solutions for battery-powered two-wheeler devices.
- Optimize DC-DC converters, PMICs, and battery management systems (BMS).
- Mechanical Design & Durability:
- Collaborate on mechanical enclosures, environmental protection (IP ratings), and vibration resistance.
- Ensure compliance with automotive-grade durability and safety standards.
- Regulatory Compliance & Testing:
- Ensure EMC/EMI compliance, functional safety (ISO 26262), and automotive certification.
- Oversee hardware validation, environmental testing, and reliability assessment.
- Collaboration & Prototyping:
- Work closely with ODM partners, Tier-1 suppliers, and internal software teams.
- Lead hardware prototyping, testing, and debugging to achieve performance targets.
- 7+ years of experience in hardware engineering, particularly in automotive electronics, telematics, or infotainment systems.
- Strong expertise in PCB design, high-speed signal integrity, and multi-layer board design.
- Hands-on experience with chipsets from Qualcomm, MediaTek, NXP, Renesas, STMicroelectronics, and similar.
- Proficiency in power management systems, battery integration, and automotive-grade circuit design.
- Strong understanding of cellular communication hardware (4G/5G, LTE, GNSS, WiFi, Bluetooth, V2X, UWB, NFC).
- Experience with CAN, LIN, SPI, I2C, UART, Ethernet, and automotive bus protocols.
- Knowledge of automotive EMI/EMC standards, ESD protection, and functional safety (ISO 26262).
- Hands-on experience with hardware validation, RF testing, and automotive compliance certification.
- Familiarity with thermal modeling, mechanical integration, and enclosure design.
- Ability to work with ODM partners and Tier-1 suppliers to bring hardware concepts to production.
- Master’s or Bachelor's degree in Electrical Engineering, Electronics, or related field.
- Experience in automotive cybersecurity hardware design (UNECE WP.29, ISO 21434).
- Knowledge of ADAS, AI-based automotive electronics, and sensor fusion technologies.
- Experience with cloud-connected telematics, OTA updates, and real-time diagnostics hardware.
- Understanding of AI/ML-based vehicle data processing for predictive maintenance.