Role 1 : Firmware Developers(AutoSar) MCAL Configuration and integration, , AUTOSAR stack configuration and integration, DEM, Memroy Modules. Communication Protocol - CAN Classic & CAN FD, J1939 , UDS, LIN, XCP Controllers - AUTOMOTIVE Grade, safety complaint controllers(Renesas, Infinion) Tools - vector Canape, Canalyzer, debuggers, Inca, EBtresos, Ksar, Davinci Software Architecture for safety critical application(ISO26262 Safety standard) Experience with System Software requirement drill down. Key Skills : Non autosar, embedded dev, driver developer, SW integration Role 2: Firmware Developers(RTOS) Experience with TI controllers and Tool chain , Expertise in C, Development of lower level Drivers , RTOS and Bootloader development , Communication protol CAN /I2C/Modbus Key Skills: DCDC converter, Make sure Key skills (Mandatory Skills) are highlighted in resume before submitting to this job. candidates who are available with in 30 days notice are highly preferred

In-depth knowledge of system testing, including test case creation, execution, and reporting, specifically in safety-critical automotive and power electronics domains. Practical experience with OPAL-RT power electronics test benches. Proficient in using CAN tools such as CANalyzer, CANoe, and CANape. Familiarity with ISO 26262 and/or ASPICE processes. Experience working with source and issue management tools. Basic knowledge of Python is a plus.

Hands-on experience in Python scripting and automation using the PyTest framework. Strong understanding of communication protocols such as Ethernet/IP, Modbus, SPI, I2C, and MQTT. Familiarity with RTOS or Linux operating systems, including basic networking and console commands. Practical knowledge of object-oriented programming (OOP) concepts in Python. Experience with AUTOSAR architecture and Linux platform. Expertise in firmware unit testing and functional automation testing using Python. Working knowledge of REST APIs and Docker is desirable. Mandatory Skills (as required by the customer): Proficient hands-on Python experience with OOP AUTOSAR and Linux platform familiarity Firmware testing expertise Unit testing and functional automation using Python Knowledge of any communication protocol Understanding of REST APIs Docker experience (good to have)

Strong hands-on experience in test automation using Python (mandatory). Proficiency in C# is a plus. Familiarity with Cloud/IoT technologies and CI/CD concepts, tools, and workflows. Experience with cloud connectivity protocols such as MQTT, LWM2M, and WebSocket. Knowledge of API testing using Python automation frameworks. Exposure to Azure Cloud services is desirable. Mandatory Skills (as per customer requirements): Python automation and API testing using Python. Azure Cloud knowledge good to have.

Model-Based Software Test Engineer with 4-8 years of relevant experience. Strong understanding of MATLAB models, including Simulink and Stateflow, along with proficient debugging skills. Hands-on experience in model and code testing, including MIL, SIL, and PIL testing using Simulink Test or similar tools. Experience across all testing phases: unit testing, integration/module testing, and requirements-based functional testing. Proven expertise in all testing activities, including test planning, test case development, test execution, and test report generation. Ability to work independently or with minimal supervision on complex projects.

Hands-on experience in Python and Pytest with a strong grasp of OOP concepts. Proficient in Linux operating systems, REST APIs, and MQTT protocol. 5 to 10 years of experience in the test automation domain, with a preference for firmware test automation. Over 5 years of hands-on experience developing automation frameworks using Python (with strong OOP principles) and Pytest or similar test frameworks. Minimum 3 years of practical experience with communication protocols such as Ethernet/IP, Modbus, SPI/I2C, MQTT, and REST API. Strong testing and debugging skills on embedded platforms or related environments. Good overall understanding of CI/CD pipelines using GitHub, Azure DevOps, or similar tools. Solid knowledge of performance testing methodologies for embedded platforms or comparable systems.