5,087 Autonomous Driving Systems jobs in India

• Design, develop, and implement software for autonomous driving systems.
• Develop algorithms for perception, sensor fusion, path planning, and control.
• Write high-quality, efficient, and maintainable code (C++, Python).
• Collaborate with cross-functional teams on system integration and testing.
• Debug and optimize software performance for real-time applications.
• Contribute to the architecture and design of the autonomous driving software stack.
• Participate in code reviews and adhere to software development best practices.
• Stay current with the latest advancements in AI and autonomous driving technologies.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Minimum of 5 years of experience in software development, with a focus on automotive systems or robotics.
• Strong programming skills in C++ and/or Python.
• Experience with autonomous driving technologies, sensor fusion, perception, or control systems.
• Familiarity with ROS, Linux, and real-time operating systems.
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Excellent problem-solving and debugging abilities.
• Strong communication and teamwork skills in a remote setting.

• Lead the design, development, testing, and deployment of critical software modules for autonomous driving systems, including perception, planning, and control.
• Architect scalable and robust software solutions, adhering to best practices in software engineering and automotive standards (e.g., ISO 26262).
• Mentor and technically guide a team of software engineers, fostering a collaborative and high-performance culture.
• Define software requirements, develop technical specifications, and create detailed design documentation.
• Implement and optimize algorithms for sensor fusion, object detection, path planning, and vehicle control.
• Develop and maintain high-quality, well-documented, and testable code in C++ and Python.
• Collaborate with hardware engineers, systems engineers, and AI/ML specialists to integrate software components.
• Define and implement rigorous testing strategies, including unit testing, integration testing, simulation, and real-world validation.
• Stay abreast of the latest advancements in autonomous driving technology, AI, and automotive software.
• Troubleshoot and resolve complex software issues reported from testing or field deployment.
• Contribute to the continuous improvement of development processes, tools, and methodologies in a remote setting.
• Participate in code reviews, technical design discussions, and project planning.

• Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
• 8+ years of experience in software development, with at least 5 years focused on automotive software, particularly in ADAS or autonomous driving systems.
• Strong proficiency in C++ and Python programming languages.
• Deep understanding of software architecture patterns, real-time operating systems (RTOS), and embedded systems.
• Expertise in developing algorithms for perception, sensor fusion, localization, path planning, and control.
• Experience with simulation tools (e.g., CARLA, SVL Simulator) and data analysis frameworks.
• Familiarity with automotive communication protocols (e.g., CAN, Ethernet).
• Knowledge of functional safety standards (ISO 26262) is highly desirable.
• Excellent problem-solving, debugging, and analytical skills.
• Strong leadership, communication, and interpersonal skills to effectively lead a remote team.
• Experience working in a remote or distributed team environment.

• Leading the design and architecture of software for autonomous driving functions (perception, planning, control).
• Developing and implementing robust algorithms for sensor fusion, object detection, path planning, and vehicle control.
• Managing and mentoring a team of software engineers, fostering a collaborative and innovative environment.
• Defining software requirements and specifications in collaboration with hardware and systems engineers.
• Writing clean, efficient, and well-documented code in languages such as C++, Python, and ROS.
• Developing and executing comprehensive test plans, including simulation and real-world testing.
• Integrating software components and ensuring seamless operation of the autonomous driving stack.
• Staying current with advancements in AI, machine learning, computer vision, and automotive safety standards.
• Troubleshooting and debugging complex software issues.
• Collaborating with cross-functional teams to ensure successful product development and deployment.

• System Architecture: Design and define the architecture for autonomous driving systems.
• Requirements Management: Elicit, define, and manage system and software requirements.
• Integration: Oversee the integration of various hardware and software components.
• Validation & Verification: Develop and execute test plans for system validation, including simulation and hardware-in-the-loop (HIL) testing.
• Functional Safety: Ensure compliance with automotive functional safety standards (ISO 26262).
• Troubleshooting: Diagnose and resolve complex system-level issues.
• Cross-functional Collaboration: Work closely with software, hardware, and testing teams.
• Technology Research: Stay abreast of the latest advancements in autonomous driving technology.

• Lead the system-level design, integration, and validation of autonomous driving systems.
• Define system requirements, architectures, and interfaces for autonomous driving functions.
• Oversee the integration of various subsystems, including sensors (LiDAR, radar, cameras), perception modules, planning algorithms, and control systems.
• Develop and implement robust testing and validation strategies for autonomous driving software and hardware.
• Collaborate closely with software engineers to ensure the efficient and reliable implementation of algorithms.
• Work with hardware engineers to define sensor and compute platform requirements.
• Conduct system-level simulations and analyze performance data to identify areas for improvement.
• Ensure compliance with automotive safety standards (e.g., ISO 26262).
• Troubleshoot and resolve complex system-level issues throughout the development lifecycle.
• Mentor junior engineers and provide technical guidance to the team.
• Stay abreast of the latest advancements in autonomous driving technology, AI, and sensor technology.
• Contribute to the development of intellectual property and patents.
• Prepare detailed technical documentation, including design specifications and test plans.
• Facilitate effective communication and collaboration among distributed, remote team members.
• Manage project timelines and deliverables for system engineering tasks.

• Master's degree or Ph.D. in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, or a related field.
• Minimum of 8 years of experience in automotive systems engineering, with a significant focus on ADAS or autonomous driving.
• Proven experience in system architecture design and integration.
• Strong understanding of sensor fusion, perception, localization, planning, and control algorithms.
• Experience with real-time operating systems (RTOS) and embedded systems development.
• Familiarity with automotive communication protocols (e.g., CAN, Automotive Ethernet).
• Proficiency with simulation tools (e.g., CARLA, MATLAB/Simulink) and modeling techniques.
• Experience with safety-critical systems development (e.g., ISO 26262).
• Excellent problem-solving, analytical, and debugging skills.
• Strong leadership and team collaboration abilities, essential for remote leadership.
• Exceptional communication and interpersonal skills.
• Experience with C++, Python, and relevant automotive software development tools.
• Knowledge of AI/ML techniques applied to autonomous driving is a strong plus.
• Ability to work independently and manage complex projects in a remote-first environment.

• Defining system requirements and architectures for autonomous driving features.
• Overseeing the integration of various subsystems, including sensors (LiDAR, radar, cameras), perception algorithms, path planning, and control systems.
• Developing and implementing rigorous testing and validation methodologies, including simulation and real-world driving tests.
• Leading cross-functional teams to resolve complex technical challenges and ensure project milestones are met.
• Collaborating with hardware and software development teams to ensure seamless system integration.
• Staying abreast of the latest advancements in AI, machine learning, and sensor fusion for automotive applications.
• Contributing to the overall product strategy and roadmap for autonomous driving technologies.
• Ensuring compliance with automotive safety standards (e.g., ISO 26262) and regulatory requirements.
• Mentoring junior engineers and fostering a culture of innovation and continuous improvement.

• Lead the design, development, and integration of autonomous driving system architectures.
• Define system requirements and specifications for hardware and software components.
• Oversee sensor fusion algorithms, perception systems, and path planning modules.
• Develop and validate control strategies for vehicle dynamics and safety systems.
• Collaborate with cross-functional teams including software, hardware, testing, and safety engineers.
• Conduct system-level simulations and real-world testing to ensure performance and safety standards are met.
• Manage project timelines, resources, and deliverables for autonomous driving projects.
• Mentor and guide a team of automotive systems engineers.
• Stay abreast of the latest advancements in AI, machine learning, and automotive technology.
• Develop and maintain technical documentation, including system designs and test plans.
• Troubleshoot and resolve complex technical issues related to autonomous driving systems.
• Ensure compliance with automotive industry standards and regulations (e.g., ISO 26262).
• Contribute to strategic planning and technology roadmapping for future autonomous driving solutions.

• Master's or Ph.D. in Electrical Engineering, Computer Science, Mechanical Engineering, or a related field.
• Minimum of 10 years of experience in automotive systems engineering, with at least 5 years focused on autonomous driving or advanced driver-assistance systems (ADAS).
• Strong expertise in C++, Python, and relevant simulation tools (e.g., MATLAB/Simulink, CARLA, ROS).
• In-depth knowledge of sensor technologies (LiDAR, Radar, Cameras, IMU) and sensor fusion techniques.
• Proven experience with control systems, robotics, and artificial intelligence in automotive applications.
• Experience with AUTOSAR, embedded systems, and automotive communication protocols (CAN, Ethernet).
• Demonstrated leadership skills with experience managing engineering teams.
• Excellent problem-solving and analytical abilities.
• Strong communication and interpersonal skills, with the ability to work effectively in a remote team.
• Familiarity with functional safety standards (ISO 26262) is a must.

• Lead the system-level design and integration of autonomous driving features, ensuring robust performance and safety.
• Define system requirements and specifications for AD components, including LiDAR, radar, cameras, IMUs, and GPS.
• Develop and validate system architectures, considering sensor placement, data flow, processing power, and communication protocols.
• Oversee the integration of AD software modules (perception, planning, control) with vehicle hardware and control units.
• Develop and execute comprehensive testing and validation plans, utilizing simulation environments and real-world vehicle testing.
• Collaborate closely with cross-functional teams, including AD algorithm developers, hardware engineers, safety engineers, and software development teams.
• Analyze test data and performance metrics to identify areas for improvement and resolve integration issues.
• Ensure compliance with automotive safety standards (e.g., ISO 26262) and regulatory requirements for autonomous systems.
• Document system designs, integration procedures, and test results meticulously.
• Contribute to the continuous improvement of AD system performance, reliability, and scalability.
• Mentor junior engineers and foster a culture of innovation and rigorous engineering practices within the remote team.

• Master's degree or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or a related field.
• Minimum of 8-12 years of experience in automotive systems engineering, with a significant specialization in autonomous driving technology.
• In-depth knowledge of AD software stacks, sensor technologies (LiDAR, radar, cameras), and sensor fusion techniques.
• Experience with AD simulation tools (e.g., CARLA, NVIDIA Drive Sim) and data logging systems.
• Familiarity with real-time operating systems (RTOS) and embedded systems development for automotive applications.
• Strong understanding of control systems theory, path planning algorithms, and vehicle dynamics.
• Proficiency in C++ and Python programming languages.
• Experience with systems engineering methodologies and tools (e.g., SysML, DOORS).
• Excellent problem-solving, analytical, and critical thinking skills.
• Outstanding communication and collaboration skills, essential for effective remote teamwork.
• Prior experience in a lead or architect role within an automotive AD team is highly preferred.

TCS present an excellent opportunity for MACHINE LEARNING

Job Location: Chennai (Only)

Experience required : 4-6 Yrs

Skills: Machine Learning

Technical/Functional Skills

Must Have Skills

• Predictive Modelling, ML pipelines & architecture, Python, Java and R, Machine learning frameworks (like Keras or PyTorch), Statistics, Data Structure, GCP is a preference.
• Must have deep background in NLP, Machine Learning, Deep Learning, Optimization, Algorithm and Software development - Supervised & Unsupervised Learning, Features & Labels, Decision Tree, Naïve Bayes, Gradient Descent, Linear &
• Logistic Regression, SVM, Kernel Methods, Neural Networks, Clustering & K-means Clustering
• Hands-on experience in Python, SQL , PySpark and Machine learning , Libraries, Google Cloud experience, including Big Query, Data Flow, and Apache Beam in cloud environment is expected.
• Building ML Models or delivering impactful customer- facing products
• Understanding of machine learning lifecycle and MLOps - Regression models – linear & non-linear, Classification models, Vectors, Gradient Descent & Cost function, Artificial Neural Networks (ANN) and Loss function