• Understanding business objectives and developing models that help to achieve them.
• Responsible for designing, developing and deployment of Machine learning/Deep learning/Image based applications/tools.

Responsibilities

• Ingest the data captured from various sensors as well as from external world into the big data ecosystem
• Perform the data quality checks on the input data and publish the results
• Transform the data into various ecosystem formats as required by various autonomous driving feature teams
• Transform the data and suitably encrypt it to make it available to external world
• Perform extensive data search on various aspects of data quality, data transformation, data storage, data security, data access and so on
• Perform the data backup and archival activities
• Monitor and tune the performance of the individual module and overall system
• Work on end-to-end automation of various work flows

Adhere to various best practice and standards

• Hands on experience in creating Test Specifications –
• Experience in CAN tools like CANoe, CANalyzer, CANape and CAN stress.
• Experience in any of the ECU’s like Infotainment cluster, Body chassis and Powertrain.
• Hands on experience in functional testing, system testing and vehicle level testing.
• Hands-on experience in Requirements Analysis, Test cases capture, and Test Procedure preparation, flashing the software into the hardware, testing the software and failure analysis of the observations in testing.
• Able to develop simulated test bench and writing node behaviour to the nodes in the test bench ECUs.
• Perform validation testing of Infotainment features in all possible conditions.
• Able to do impact analysis, come up with the scope, prioritize tasks, handles multiple tasks, and meet deadlines.
• Preparation of weekly status reports, monthly status reports, dashboard data of deliverables and project metrics.
• Know-how of Macros and Python scripting to incorporate in test procedure/validation for handling multiple variants and productivity improvement.

• Responsible for designing and developing Model based design and development for one of the teams – Powertrain Controls /
• Vehicle System Analysis(VSA) / MBSE (Model Based System Engineering). This is part of Research and Innovation center
  Will work on new and future technologies (Vehicle Level Simulation, Hybrid Electric Vehicle, Functional Safety, Fuel Economy Prediction etc.,)
• Should work collaboratively in building the competency in Active Safety Engineering

• Hands on experience in performing Requirement Analysis for Conventional Powertrain systems
• Hands on experience in using requirements management tools such as DOORS etc.
• Development of Simulink models for Conventional Powertrain systems
• Strong in AUTOSAR concepts
• AUTOSAR Modeling and Configuration
• System Configuration (Top Level Composition like Component instances, connectors)
• AUTOSAR RTE configuration and integration
• Exposure to working on multi-core environments
• Knowledge of HIL testing for Conventional Powertrain systems with associated tools and software
• Ability to diagnose and troubleshoot software for Conventional Powertrain systems

• Seasoned embedded security analyst will be responsible for developing and deploying methodologies for vehicular security assessment to analyze real-time security threats, associated risks and vulnerabilities
• Experience embedded Penetration Tester will be responsible for design and development of embedded attack vectors to carry out penetration testing in the vehicle network and ECUs, to confirm the vulnerabilities.
• Engineer with relevant knowledge and experience will work in designing approaches for automating Cybersecurity Functional testing and FUZZ testing in the emerging field of automotive cybersecurity.
• Engineer with a deep understanding and experience on embedded system, will work in the design and development of Secure Bootloader to enable low level embedded security for ECUs.
• A welcome understanding and experience on effective integration of Hardware Trust Anchors for the vehicle Embedded Systems and perform integration testing
• Engineer with sound knowledge of embedded security, cryptography, PKI/TLS will work on developing SecureVC and SecOC
• Engineer with in-depth knowledge and experience on vehicle network security will work on design and development of CAN Intrusion Detection Systems and Firewalls.
• Responsible for benchmarking, researching industry and non-industry landscapes, and documenting automotive security requirements.
• Engineer will maintain long-range automotive cybersecurity strategies encompassing security required low level, resource constrained vehicular environment, a landscape of real-time threats and vulnerabilities for automotive systems.
• Experience in Linux, embedded systems, understanding of various h/w boards, microcontrollers, programming in C / C++, Embedded C (focusing on various communication interfaces, low level hardware, sensors, drivers and in-vehicle network). Scripting knowledge on Python / Perl.
• Knowledge of CAN Tools, network tools, sniffing / spoofing tools and various hacking tools especially in the embedded domain.

Hands on experience on safety and security standards. [V Model, ASIL, safety-security mapping etc.] Ability to analyze and synthesize enormous and complex information flowing in the embedded automotive systems