10,989 Vehicle Systems jobs in the United Kingdom
Autonomous Vehicle Systems Engineer
Posted 1 day ago
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Job Description
Key Responsibilities:
- Design, develop, and integrate autonomous vehicle systems.
- Develop and validate algorithms for perception, sensor fusion, localisation, and planning.
- Define and manage system requirements and specifications.
- Collaborate with software and hardware teams to ensure seamless system integration.
- Develop and execute test plans for system validation and performance verification.
- Analyse large datasets from real-world driving and simulation environments.
- Contribute to the development of safety cases and risk assessments.
- Troubleshoot and resolve complex system-level issues.
- Stay abreast of the latest advancements in autonomous driving technology and AI.
- Document system designs, test results, and technical findings.
- Master's or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field.
- Minimum of 5 years of experience in the development of autonomous systems, robotics, or AI.
- Strong understanding of core autonomous driving technologies (perception, localisation, planning, control).
- Proficiency in C++ and Python, with experience in relevant libraries and frameworks (e.g., ROS, TensorFlow, PyTorch).
- Experience with simulation environments (e.g., CARLA, Gazebo) and data analysis tools.
- Proven ability to design and debug complex integrated systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with automotive systems and safety standards (e.g., ISO 26262) is a plus.
Autonomous Vehicle Systems Engineer
Posted 14 days ago
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Job Description
Responsibilities:
- Design and architect the overall system architecture for autonomous driving functionalities.
- Develop and integrate perception, planning, and control algorithms.
- Define and manage system requirements, ensuring they are met throughout the development lifecycle.
- Collaborate with software engineers to implement and optimize algorithms on target hardware.
- Work with hardware teams to define sensor suites and compute platforms.
- Conduct rigorous testing and validation of system performance, safety, and reliability.
- Analyze test data and simulation results to identify areas for improvement.
- Troubleshoot and resolve complex system-level issues.
- Stay abreast of the latest advancements in AI, machine learning, robotics, and automotive technology.
- Document system designs, processes, and test results meticulously.
- Contribute to the development of safety cases and regulatory compliance for autonomous systems.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
- Strong understanding of robotics principles, control systems, and sensor fusion.
- Experience with autonomous driving software stacks (e.g., ROS, Autoware).
- Proficiency in C++ and Python programming languages.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and their application in perception.
- Experience with simulation tools (e.g., CARLA, Gazebo) and real-world vehicle testing.
- Knowledge of automotive communication protocols (e.g., CAN) is a plus.
- Excellent analytical, problem-solving, and debugging skills.
- Ability to work effectively in a collaborative, fast-paced research and development environment.
Autonomous Vehicle Systems Engineer
Posted 20 days ago
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Job Description
Your primary responsibility will be to develop and integrate complex systems for autonomous vehicles. This includes working with perception systems (sensors, cameras, LiDAR), sensor fusion algorithms, path planning, decision-making logic, and vehicle control systems. You will be involved in the entire lifecycle, from conceptualization and simulation to real-world testing and deployment. This will involve extensive data analysis, algorithm development, and software implementation, often in C++ and Python. A significant part of your role will be collaborating with a multidisciplinary team of engineers, researchers, and software developers to overcome challenging technical hurdles and ensure the safety and reliability of our autonomous driving solutions.
The ideal candidate will possess a strong academic background in Computer Science, Electrical Engineering, Robotics, or a related field, with a Master's degree or PhD being highly advantageous. You must have demonstrable experience in developing and testing autonomous vehicle components or systems. Expertise in areas such as computer vision, machine learning, Kalman filters, probabilistic robotics, and control theory is essential. Proficiency in simulation environments (e.g., CARLA, Gazebo) and experience with ROS (Robot Operating System) are highly desirable. Strong programming skills in C++ and Python, coupled with experience in software development best practices (e.g., version control, unit testing), are required. Excellent problem-solving skills, the ability to think critically, and a passion for safety-critical systems are paramount. You should be comfortable working independently in a remote setting, taking ownership of projects, and communicating complex technical concepts clearly and effectively. This role represents an exciting opportunity to make a tangible impact on the development of autonomous mobility solutions in a flexible, remote-first work environment.
Key Responsibilities:
- Design, develop, and integrate software for autonomous vehicle systems.
- Work on perception algorithms, sensor fusion, path planning, and control systems.
- Develop and utilize simulation tools for testing and validation.
- Analyze large datasets from vehicle testing to refine algorithms.
- Implement and optimize algorithms in C++ and Python.
- Collaborate with cross-functional teams in a remote setting.
- Ensure the safety, reliability, and performance of autonomous driving features.
- Contribute to system architecture design and technical documentation.
- Stay current with advancements in AI, robotics, and autonomous driving technology.
- Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
- Proven experience in autonomous vehicle systems development or robotics.
- Strong knowledge of perception, localization, planning, and control algorithms.
- Proficiency in C++ and Python programming languages.
- Experience with ROS, simulation tools, and data analysis.
- Understanding of machine learning and AI techniques relevant to AVs.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration skills for remote work.
- Familiarity with safety standards and automotive software development is a plus.
Remote Autonomous Vehicle Systems Engineer
Posted today
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Job Description
Lead Autonomous Vehicle Systems Engineer
Posted 1 day ago
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Job Description
Key Responsibilities:
- Lead the design and development of the overall autonomous vehicle system architecture, encompassing perception, planning, control, and actuation.
- Oversee the integration of various subsystems, including sensors (LiDAR, cameras, radar), ECUs, and middleware.
- Define system requirements and specifications for hardware and software components.
- Develop and implement robust testing and validation strategies for autonomous driving functions, including simulation and real-world testing.
- Collaborate closely with software engineers, hardware engineers, safety experts, and AI researchers.
- Manage project timelines, resources, and deliverables for key system engineering initiatives.
- Identify and address system-level challenges and risks related to safety, performance, and reliability.
- Stay at the forefront of advancements in autonomous driving technology, including AI, machine learning, and sensor fusion.
- Mentor and guide junior systems engineers, fostering technical growth within the team.
- Ensure compliance with industry standards and regulations related to automotive safety and autonomous systems.
- Document system designs, test plans, and validation results comprehensively.
- Troubleshoot and resolve complex system integration issues.
- Master's or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or a related field.
- Significant experience in systems engineering, with a focus on autonomous vehicle development.
- Deep understanding of the full autonomous vehicle stack (perception, localisation, path planning, control).
- Proficiency in system design methodologies and tools (e.g., SysML, UML).
- Experience with real-time operating systems (RTOS) and embedded systems.
- Familiarity with sensor fusion techniques and algorithms.
- Strong programming skills in C++ and/or Python.
- Experience with simulation environments (e.g., CARLA, NVIDIA DRIVE Sim).
- Knowledge of automotive safety standards (e.g., ISO 26262).
- Excellent leadership, problem-solving, and communication skills.
- Ability to manage complex projects and work effectively in a cross-functional team.
Lead Autonomous Vehicle Systems Engineer
Posted 2 days ago
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Job Description
Responsibilities:
- Lead the design, development, and testing of autonomous vehicle systems and subsystems.
- Oversee the integration of various components, including sensors, processors, actuators, and software modules.
- Develop and implement robust algorithms for perception, localization, planning, and control.
- Ensure the safety and reliability of autonomous driving functionalities through rigorous testing and validation.
- Collaborate with cross-functional teams, including software developers, hardware engineers, and safety experts.
- Manage project timelines, resources, and deliverables for autonomous system development.
- Mentor and guide junior engineering staff, fostering a culture of innovation and technical excellence.
- Stay current with the latest advancements in AI, machine learning, robotics, and automotive technology.
- Contribute to the definition of system requirements and architecture for future autonomous vehicle platforms.
- Participate in system-level troubleshooting and root cause analysis for complex issues.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field.
- Minimum of 7 years of experience in automotive engineering, with a significant focus on autonomous systems.
- Demonstrated expertise in sensor fusion, SLAM, motion planning, and control theory.
- Proficiency in C++, Python, and relevant robotics frameworks (e.g., ROS).
- Experience with simulation tools and hardware-in-the-loop (HIL) testing.
- Strong understanding of functional safety standards (e.g., ISO 26262).
- Excellent leadership, problem-solving, and communication skills.
- Ability to manage complex projects and guide engineering teams in a remote setting.
- Experience with machine learning techniques applied to automotive applications.
Senior Autonomous Vehicle Systems Engineer
Posted 3 days ago
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Job Description
Key responsibilities include leading the system-level design of autonomous driving components, developing test plans and procedures for validation, and troubleshooting intricate system issues. You will collaborate closely with software developers, hardware engineers, and testing teams to ensure integrated solutions meet rigorous specifications. A significant part of the role involves evaluating and optimizing the performance of perception, prediction, and planning modules. Strong understanding of functional safety standards (e.g., ISO 26262) and experience with simulation environments are highly desirable. The ideal candidate will have a Master's or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or a related field, coupled with a minimum of 5 years of professional experience in the automotive or autonomous systems industry.
Proficiency in C++ and Python, along with experience in ROS (Robot Operating System) or similar middleware, is essential. Familiarity with automotive communication protocols like CAN bus and Ethernet is also required. You should possess excellent problem-solving skills, a meticulous attention to detail, and the ability to work effectively in a fast-paced, collaborative hybrid environment. This position offers the opportunity to make a significant impact on the future of transportation, working with a passionate team dedicated to advancing the frontiers of automotive technology. Employees benefit from a structured hybrid work model, combining essential in-office collaboration with focused remote work periods.
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Senior Autonomous Vehicle Systems Engineer
Posted 3 days ago
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Job Description
Key Responsibilities:
- Design, develop, and integrate critical systems for autonomous vehicles (perception, planning, control, localization).
- Define system requirements and specifications for autonomous driving software and hardware.
- Develop and execute comprehensive test plans in simulation and on-road environments.
- Analyze performance data, identify bottlenecks, and implement solutions for system optimization.
- Collaborate with cross-functional teams, including software, hardware, AI, and safety engineers.
- Troubleshoot and resolve complex technical issues within the autonomous driving stack.
- Mentor and guide junior engineers, fostering a culture of technical excellence.
- Contribute to the long-term architectural roadmap for autonomous driving technology.
- Ensure adherence to automotive safety standards and best practices.
- MSc or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
- Substantial experience (5+ years) in the development and deployment of autonomous vehicle systems.
- Expertise in at least one core AV domain (e.g., perception, planning, control, sensor fusion).
- Proficiency in C++, Python, and robotics frameworks (ROS).
- Experience with simulation environments (e.g., CARLA, Gazebo) and data analysis tools.
- Strong understanding of AI/ML techniques relevant to autonomous driving.
- Demonstrated ability to lead complex technical projects and mentor team members.
- Excellent communication, problem-solving, and analytical skills.
Lead Autonomous Vehicle Systems Engineer
Posted 3 days ago
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Job Description
Responsibilities:
- Lead the design, development, integration, and testing of critical autonomous vehicle systems, including perception, planning, control, and sensor fusion.
- Define system requirements, architecture, and specifications for new autonomous driving features and functionalities.
- Oversee the development lifecycle of autonomous driving software, ensuring robustness, safety, and scalability.
- Collaborate closely with cross-functional teams (hardware, software, AI/ML, safety) to ensure seamless system integration.
- Develop and implement sophisticated simulation environments and testing methodologies for validating autonomous driving algorithms and systems.
- Analyze complex sensor data and vehicle performance metrics to identify areas for improvement and resolve issues.
- Contribute to the development and enforcement of safety standards and processes for autonomous systems.
- Mentor and guide junior engineers, fostering a culture of innovation and technical excellence.
- Stay abreast of the latest advancements in AI, robotics, sensor technology, and automotive systems.
- Author technical documentation, research papers, and present findings to internal and external stakeholders.
Qualifications:
- Master's or Ph.D. in Electrical Engineering, Computer Science, Robotics, or a related field.
- Minimum of 8 years of experience in the development of complex systems, with at least 5 years specifically focused on autonomous vehicles or robotics.
- In-depth knowledge of autonomous vehicle software stacks, including ROS, perception algorithms (LiDAR, camera, radar), sensor fusion techniques, path planning, and control systems.
- Proficiency in programming languages such as C++ and Python.
- Experience with simulation tools (e.g., CARLA, Gazebo) and real-world vehicle testing.
- Strong understanding of functional safety (ISO 26262) principles.
- Excellent problem-solving, analytical, and debugging skills.
- Proven leadership abilities and experience managing technical projects.
- Exceptional communication and collaboration skills, with the ability to work effectively in a distributed team environment.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) is highly desirable.
This is a unique chance to shape the future of transportation from the comfort of your own home. Join our client and drive the revolution in autonomous technology.
Senior Autonomous Vehicle Systems Engineer
Posted 7 days ago
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