87 Autonomous Vehicles jobs in the United Kingdom
Fleet Operations Manager - Autonomous Vehicles
NR1 3PA Norwich, Eastern
£60000 Annually
WhatJobs
Posted 20 days ago
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Job Description
Our client is pioneering the future of transportation and is seeking an innovative and experienced Fleet Operations Manager to oversee their cutting-edge autonomous vehicle division. This is a fully remote position, offering a unique opportunity to shape the operational strategies for a fleet of advanced autonomous vehicles from anywhere. You will be responsible for the day-to-day management of the autonomous fleet, ensuring optimal performance, safety, and efficiency. This includes developing and implementing operational protocols, managing deployment schedules, and coordinating with remote monitoring and support teams. Your role will involve analysing fleet performance data, identifying trends, and implementing improvements to enhance operational effectiveness and reduce downtime. You will work closely with engineering and technology teams to provide feedback on vehicle performance, system reliability, and operational challenges encountered in real-world deployments. The successful candidate will have a deep understanding of logistics, fleet management, and the specific nuances of operating autonomous systems. Experience in the automotive or technology sector is highly advantageous. You should be adept at developing and managing budgets, forecasting operational needs, and ensuring compliance with relevant regulations governing autonomous vehicle operation. This role demands strong leadership qualities, excellent problem-solving skills, and the ability to manage complex operational challenges in a dynamic, rapidly evolving industry. You will be responsible for building and leading a high-performing remote operations team, fostering a culture of safety, innovation, and continuous improvement. The ability to communicate effectively with diverse stakeholders, including technology providers, regulatory bodies, and internal teams, is crucial. This is a groundbreaking opportunity for a visionary leader to make a significant impact on the future of mobility. We are looking for a proactive and adaptable individual who can thrive in a fast-paced, remote-first environment and guide the successful scaling of our autonomous fleet operations. Your insights will be critical in refining operational models and ensuring the seamless integration of autonomous technology into the transport ecosystem, serving regions including **Norwich, Norfolk, UK**.
Responsibilities:
Responsibilities:
- Manage the daily operations of the autonomous vehicle fleet.
- Develop and implement operational strategies for fleet deployment and efficiency.
- Monitor fleet performance, identify issues, and implement corrective actions.
- Collaborate with engineering and technology teams on system improvements.
- Ensure compliance with all relevant autonomous vehicle regulations.
- Manage operational budgets and resource allocation.
- Lead and mentor a remote operations support team.
- Analyse data to optimize fleet performance and minimise downtime.
- Liaise with stakeholders to ensure seamless fleet integration.
- Bachelor's degree in Operations Management, Logistics, Engineering, or a related field.
- 5+ years of experience in fleet management or operations management, preferably in a technology-driven sector.
- Demonstrated experience with complex logistics and operational planning.
- Familiarity with autonomous vehicle technology and its operational implications.
- Strong analytical and problem-solving skills.
- Excellent leadership, communication, and interpersonal abilities.
- Ability to work effectively in a fully remote, autonomous work environment.
- Experience in managing remote teams and operational support.
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0
Senior Logistics Coordinator - Autonomous Vehicles
WV1 1AA Wolverhampton, West Midlands
£48000 Annually
WhatJobs
Posted 20 days ago
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Job Description
Our client is at the forefront of transportation innovation and is seeking a highly motivated Senior Logistics Coordinator to join their pioneering remote team. This role is crucial for managing the complex logistical operations supporting the deployment and integration of autonomous vehicles. You will be responsible for coordinating schedules, optimizing routes, ensuring regulatory compliance, and liaising with various stakeholders, including technology partners, regulatory bodies, and operational teams. This position demands exceptional organizational skills, a forward-thinking mindset, and a robust understanding of logistics principles within a cutting-edge technological environment. As a remote-first position, you will have the flexibility to work from anywhere in the UK, contributing to a globally connected operation.
Key responsibilities include:
The ideal candidate will possess a Bachelor's degree in Logistics, Supply Chain Management, Transportation, or a related field. A minimum of 5 years of experience in logistics or supply chain management is required, with a demonstrated interest or experience in advanced transportation technologies, such as autonomous systems, being highly advantageous. Strong analytical and problem-solving skills, coupled with excellent communication and stakeholder management abilities, are essential. Proficiency in logistics management software and data analysis tools is expected. This is a fully remote role, requiring a proactive, self-directed individual with excellent time management skills. Our client is dedicated to transforming the future of transport and offers a unique opportunity to be part of this exciting journey.
Key responsibilities include:
- Developing and implementing logistical strategies for the deployment and maintenance of autonomous vehicle fleets.
- Coordinating the scheduling and routing of autonomous vehicles, ensuring efficient and timely operations.
- Managing communication and collaboration between autonomous vehicle teams, ground operations, and technology providers.
- Ensuring strict adherence to all relevant safety regulations, legal requirements, and company policies governing autonomous vehicle operations.
- Monitoring fleet performance, tracking vehicle status, and troubleshooting any logistical or operational issues that arise.
- Maintaining accurate records of vehicle movements, maintenance schedules, and operational data.
- Identifying and assessing potential risks and challenges in logistical operations and developing proactive mitigation plans.
- Liaising with regulatory agencies and local authorities to ensure smooth integration of autonomous vehicles into public spaces.
- Optimizing resource allocation, including personnel, equipment, and infrastructure, to support operational needs.
- Contributing to the continuous improvement of logistics processes through data analysis and feedback.
The ideal candidate will possess a Bachelor's degree in Logistics, Supply Chain Management, Transportation, or a related field. A minimum of 5 years of experience in logistics or supply chain management is required, with a demonstrated interest or experience in advanced transportation technologies, such as autonomous systems, being highly advantageous. Strong analytical and problem-solving skills, coupled with excellent communication and stakeholder management abilities, are essential. Proficiency in logistics management software and data analysis tools is expected. This is a fully remote role, requiring a proactive, self-directed individual with excellent time management skills. Our client is dedicated to transforming the future of transport and offers a unique opportunity to be part of this exciting journey.
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1
Senior Fleet Operations Manager - Autonomous Vehicles
PO1 3NX Portsmouth, South East
£65000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking a highly experienced and innovative Senior Fleet Operations Manager to lead the strategic direction and operational execution of our cutting-edge autonomous vehicle fleet. This is a fully remote role, allowing you to contribute from anywhere in the UK, provided you have reliable internet access and can attend occasional virtual meetings. You will be responsible for overseeing all aspects of fleet management, including deployment, maintenance, performance monitoring, and regulatory compliance, with a specific focus on autonomous driving technologies. This position demands a visionary leader with a proven track record in logistics, operations, and a deep understanding of the evolving landscape of future mobility.
You will develop and implement best-practice operational strategies to ensure maximum fleet uptime, efficiency, and safety. This includes establishing robust processes for vehicle diagnostics, remote support, and incident management. Collaboration with engineering, software development, and safety teams will be paramount to continuously improve the autonomous driving system and its integration into daily operations. Your role will involve analysing vast amounts of operational data to identify trends, optimise resource allocation, and drive continuous improvement initiatives. The ability to navigate complex regulatory environments and ensure full compliance across all operational areas is crucial.
Key Responsibilities:
Qualifications:
You will develop and implement best-practice operational strategies to ensure maximum fleet uptime, efficiency, and safety. This includes establishing robust processes for vehicle diagnostics, remote support, and incident management. Collaboration with engineering, software development, and safety teams will be paramount to continuously improve the autonomous driving system and its integration into daily operations. Your role will involve analysing vast amounts of operational data to identify trends, optimise resource allocation, and drive continuous improvement initiatives. The ability to navigate complex regulatory environments and ensure full compliance across all operational areas is crucial.
Key Responsibilities:
- Develop and execute strategic operational plans for a large-scale autonomous vehicle fleet.
- Establish and manage key performance indicators (KPIs) for fleet efficiency, safety, and utilisation.
- Oversee the remote monitoring and management of vehicle status, performance, and maintenance needs.
- Implement and refine procedures for autonomous vehicle dispatch, routing, and operational support.
- Collaborate with engineering teams to provide feedback on vehicle performance and software updates.
- Ensure adherence to all local, national, and international regulations pertaining to autonomous vehicle operations.
- Manage relationships with third-party service providers for maintenance, repair, and specialised support.
- Develop and lead a high-performing, distributed operations team.
- Analyse operational data to identify opportunities for cost reduction and efficiency gains.
- Develop and implement emergency response protocols for autonomous vehicle incidents.
Qualifications:
- Bachelor's degree in Logistics, Supply Chain Management, Operations Management, Engineering, or a related field. An MBA or Master's degree is a plus.
- 10+ years of progressive experience in fleet management, logistics, or operations, with a significant portion dedicated to advanced vehicle technologies.
- Demonstrated experience in managing large, complex fleets, preferably including electric or autonomous vehicles.
- Strong understanding of data analytics and experience using fleet management software and tools.
- Proven ability to develop and implement operational strategies in a fast-paced environment.
- Exceptional leadership, communication, and stakeholder management skills.
- Experience with regulatory compliance and safety management systems.
- Ability to work autonomously and manage a remote team effectively.
- Knowledge of autonomous driving systems, sensors, and operational challenges is highly desirable.
This advertiser has chosen not to accept applicants from your region.
2
Senior Fleet Operations Manager - Autonomous Vehicles
WV1 1LT Wolverhampton, West Midlands
£65000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client is seeking a highly experienced and forward-thinking Senior Fleet Operations Manager to oversee the operational deployment and management of a cutting-edge autonomous vehicle fleet. This role is pivotal in ensuring the safe, efficient, and reliable operation of our autonomous services. As a fully remote position, you will have the flexibility to manage operations and coordinate teams from your home base, contributing to a revolution in transport. The ideal candidate will possess a strong background in logistics, fleet management, operations, and a keen understanding of the unique challenges and opportunities presented by autonomous technology.
Key Responsibilities:
Key Responsibilities:
- Develop and implement operational strategies for the safe and efficient deployment of the autonomous vehicle fleet.
- Manage daily fleet operations, including scheduling, dispatch, and monitoring of vehicle performance.
- Establish and maintain key performance indicators (KPIs) for fleet efficiency, safety, and uptime.
- Collaborate closely with engineering, safety, and compliance teams to address operational challenges and implement improvements.
- Develop and manage standard operating procedures (SOPs) for all fleet-related activities.
- Oversee incident response and resolution for any operational disruptions or safety events.
- Train and manage remote operations personnel, including monitoring specialists and dispatchers.
- Analyze operational data to identify trends, risks, and opportunities for optimization.
- Ensure compliance with all relevant transportation regulations and company policies.
- Contribute to the continuous improvement of autonomous driving technology through operational feedback.
- Bachelor's degree in Logistics, Operations Management, Business Administration, or a related field.
- 7+ years of experience in fleet management, logistics, or operations, with a significant portion involving complex vehicle fleets.
- Demonstrated experience with managing large-scale operations and remote teams.
- Familiarity with autonomous vehicle technology, its operational requirements, and safety protocols is highly desirable.
- Strong understanding of data analysis, reporting, and performance metric development.
- Excellent leadership, communication, and problem-solving skills.
- Ability to make critical decisions under pressure and manage multiple priorities.
- Proficiency in fleet management software and related technologies.
- Proven ability to work effectively and independently in a fully remote setting.
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3
Remote Automotive Software Engineer - Autonomous Vehicles
G1 1EQ Glasgow, Scotland
£75000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client, a pioneering force in the automotive industry, is seeking a highly skilled and motivated Automotive Software Engineer specializing in autonomous vehicles to join their fully remote development team. This is an exceptional opportunity to contribute to the future of mobility and work on cutting-edge technologies that are transforming the automotive landscape. You will be instrumental in designing, developing, and implementing complex software solutions for autonomous driving systems. The ideal candidate will possess a strong foundation in software engineering principles, coupled with a deep understanding of vehicle dynamics, sensor fusion, perception systems, path planning, and control algorithms. Experience with C++, Python, and relevant automotive software frameworks (e.g., ROS, AUTOSAR) is essential. You will collaborate closely with a talented team of engineers, researchers, and product managers to bring innovative autonomous driving features to life. This role requires a passion for problem-solving, a meticulous approach to coding, and a commitment to safety and quality.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, test, and deploy software for autonomous driving systems.
- Implement and optimize algorithms for perception, sensor fusion, localization, path planning, and control.
- Write high-quality, efficient, and well-documented C++ and Python code.
- Collaborate with hardware engineers to integrate software with vehicle components and sensors.
- Develop and maintain software tools and simulation environments for testing and validation.
- Participate in code reviews and contribute to the improvement of software development processes.
- Debug and resolve complex software issues in a timely manner.
- Stay current with the latest advancements in autonomous driving technology and software engineering best practices.
- Contribute to the overall architecture and design of the autonomous driving software stack.
- Ensure software reliability, safety, and performance meet stringent automotive standards.
Qualifications:
- 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 significant focus on automotive systems or robotics.
- Proven experience in developing software for autonomous vehicles or advanced driver-assistance systems (ADAS).
- Strong proficiency in C++ and Python programming languages.
- Familiarity with software development lifecycles and agile methodologies.
- Experience with real-time operating systems (RTOS) and embedded systems.
- Knowledge of sensor technologies (e.g., LiDAR, radar, cameras) and data processing.
- Experience with simulation tools and frameworks (e.g., Gazebo, Carla).
- Excellent problem-solving, analytical, and debugging skills.
- Ability to work effectively independently and as part of a remote, globally distributed team.
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4
Senior Fleet Operations Manager - Autonomous Vehicles
BN1 1NR East Sussex, South East
£70000 Annually
WhatJobs
Posted 14 days ago
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Job Description
Our client, a groundbreaking leader in autonomous vehicle technology, is seeking a highly experienced and strategic Senior Fleet Operations Manager to oversee the deployment and day-to-day management of their cutting-edge fleet. This is a critical, on-site role based in the vibrant city of Brighton, East Sussex, UK . You will be responsible for ensuring the safe, efficient, and reliable operation of our autonomous vehicle fleet, managing a dedicated team of operations specialists, and collaborating with engineering and software development teams to drive continuous improvement. Your expertise in logistics, fleet management, and operational excellence will be paramount in shaping the future of transportation.
Responsibilities:
Responsibilities:
- Develop and implement operational strategies for the safe and efficient deployment and management of the autonomous vehicle fleet.
- Oversee daily fleet operations, including vehicle dispatch, routing, monitoring, and maintenance scheduling.
- Manage and mentor a team of fleet operations specialists, fostering a culture of safety, accountability, and continuous improvement.
- Ensure strict adherence to all safety regulations, compliance standards, and operational protocols.
- Collaborate closely with engineering, software development, and hardware teams to provide feedback from fleet operations for product enhancement.
- Develop and maintain key performance indicators (KPIs) to track fleet efficiency, safety, uptime, and cost-effectiveness.
- Manage relationships with third-party service providers, including maintenance partners and charging infrastructure suppliers.
- Develop and execute contingency plans for operational disruptions and emergencies.
- Optimize fleet utilization and resource allocation to meet service demands.
- Conduct regular performance reviews and provide ongoing training and development opportunities for the operations team.
- Contribute to the strategic planning and expansion of the fleet operations.
- Minimum of 7 years of experience in fleet management, logistics operations, or a related field, with a strong emphasis on managing complex, technology-driven operations.
- Demonstrable experience in managing teams and driving operational excellence.
- In-depth understanding of vehicle operations, maintenance, and safety protocols.
- Experience with autonomous vehicle technology and its operational challenges is highly desirable.
- Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
- Excellent leadership, communication, and interpersonal skills.
- Proficiency in fleet management software and data analysis tools.
- Ability to work effectively under pressure and manage multiple priorities in a fast-paced environment.
- Bachelor's degree in Business Administration, Logistics, Operations Management, or a related field.
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5
Senior Fleet Operations Manager - Autonomous Vehicles
EH1 2AB Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is a pioneering technology company at the forefront of autonomous vehicle development and deployment. They are seeking a highly experienced Senior Fleet Operations Manager to lead and scale their operational efforts. This critical role is fully remote, allowing the successful candidate to manage operations from anywhere. You will be responsible for the strategic planning, execution, and optimization of their autonomous vehicle fleet, ensuring safe, efficient, and reliable operation. This includes overseeing fleet maintenance, charging/refueling infrastructure, remote monitoring, dispatch, and adherence to all regulatory requirements. The ideal candidate will have a strong background in logistics, operations management, and a keen understanding of emerging transportation technologies.
Responsibilities:
Qualifications:
This is an exciting opportunity to be a key leader in shaping the future of transportation with a cutting-edge company, working entirely remotely.
Responsibilities:
- Develop and implement operational strategies for the autonomous vehicle fleet to ensure safety, efficiency, and reliability.
- Oversee all aspects of fleet maintenance, including preventative and reactive maintenance scheduling and execution.
- Manage the deployment and optimization of charging or refueling infrastructure for the fleet.
- Establish and manage remote monitoring and control centers for real-time fleet management.
- Develop and refine dispatch and routing protocols to maximize operational efficiency and customer satisfaction.
- Ensure strict compliance with all local, national, and international regulations pertaining to autonomous vehicles and transportation.
- Lead and mentor a team of operations specialists, technicians, and remote operators.
- Analyze fleet performance data to identify areas for improvement and implement data-driven solutions.
- Manage relationships with technology partners, maintenance providers, and regulatory bodies.
- Develop and manage operational budgets, ensuring cost-effectiveness and fiscal responsibility.
- Contribute to the continuous improvement of autonomous vehicle technology and operational processes.
Qualifications:
- Bachelor's degree in Operations Management, Logistics, Engineering, or a related field. A Master's degree is a plus.
- Minimum of 7 years of experience in fleet management, logistics, or operations management, with significant experience in complex or technology-driven environments.
- Proven experience managing large-scale vehicle fleets and associated infrastructure.
- Strong understanding of autonomous vehicle technology, safety protocols, and regulatory landscapes.
- Excellent leadership, team management, and strategic planning skills.
- Proficiency in data analysis, performance tracking, and utilizing operational software.
- Exceptional problem-solving abilities and a proactive approach to risk management.
- Strong communication and negotiation skills.
- Ability to manage complex operations and drive results effectively in a fully remote setting.
This is an exciting opportunity to be a key leader in shaping the future of transportation with a cutting-edge company, working entirely remotely.
This advertiser has chosen not to accept applicants from your region.
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6
Lead Autonomous Systems Engineer
WV1 3JF Wolverhampton, West Midlands
£75000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is at the forefront of automotive innovation and is seeking a Lead Autonomous Systems Engineer to drive the development of cutting-edge autonomous driving technology. This role is fully remote, offering the flexibility to work from anywhere. You will lead a team of talented engineers in designing, implementing, and testing sophisticated algorithms and software for perception, localisation, planning, and control systems. This position requires a deep technical understanding of robotics, AI, and automotive systems, coupled with strong leadership and project management skills. You will be instrumental in shaping the future of autonomous vehicles.
Key Responsibilities:
The ideal candidate will possess a Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field, with at least 8 years of experience in the development of autonomous systems. Proven experience leading engineering teams and managing complex software projects is essential. Strong expertise in C++, Python, ROS, and ML frameworks (e.g., TensorFlow, PyTorch) is required. A deep understanding of perception, planning, and control algorithms for autonomous vehicles is crucial. Experience with large-scale data processing and simulation environments is highly desirable. Excellent communication, problem-solving, and analytical skills are necessary. This is a unique opportunity to make a significant impact on the development of future mobility solutions from a remote setting.
Key Responsibilities:
- Lead and mentor a high-performing team of autonomous systems engineers.
- Define the architecture and design of core autonomous driving software modules.
- Develop and refine algorithms for sensor fusion, object detection, tracking, and scene understanding.
- Implement and optimise state-of-the-art localisation and mapping techniques.
- Design and validate motion planning and control strategies for safe and efficient vehicle operation.
- Oversee the integration of software components and ensure system reliability and robustness.
- Conduct rigorous testing and validation of autonomous systems in simulation and real-world environments.
- Collaborate closely with cross-functional teams, including hardware engineering, safety, and validation.
- Stay abreast of the latest research and advancements in autonomous driving technology and AI.
- Contribute to the definition of system requirements and safety standards.
- Manage project timelines, deliverables, and resource allocation.
- Mentor junior engineers and foster a culture of technical excellence and innovation.
The ideal candidate will possess a Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field, with at least 8 years of experience in the development of autonomous systems. Proven experience leading engineering teams and managing complex software projects is essential. Strong expertise in C++, Python, ROS, and ML frameworks (e.g., TensorFlow, PyTorch) is required. A deep understanding of perception, planning, and control algorithms for autonomous vehicles is crucial. Experience with large-scale data processing and simulation environments is highly desirable. Excellent communication, problem-solving, and analytical skills are necessary. This is a unique opportunity to make a significant impact on the development of future mobility solutions from a remote setting.
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7
Principal Autonomous Systems Engineer
CB2 1AA Cambridge, Eastern
£90000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and innovative Principal Autonomous Systems Engineer to join our cutting-edge, fully remote R&D team. This is a career-defining opportunity to lead the design, development, and implementation of advanced autonomous systems for next-generation automotive applications. You will be at the forefront of innovation, tackling complex challenges in perception, planning, control, and simulation. Your expertise will be critical in shaping the future of vehicle autonomy. You will work alongside world-class engineers and researchers, contributing significantly to our groundbreaking projects.
Key Responsibilities:
Key Responsibilities:
- Lead the architectural design and development of complex autonomous driving systems, including perception, sensor fusion, localization, path planning, and control.
- Develop and implement robust algorithms for real-time decision-making in dynamic environments.
- Design and conduct rigorous testing and validation protocols for autonomous systems, utilizing simulation and real-world data.
- Mentor and guide junior engineers, fostering technical excellence and knowledge sharing within the team.
- Collaborate with cross-functional teams, including software development, hardware engineering, and safety teams, to ensure seamless integration and deployment.
- Research and evaluate state-of-the-art technologies and methodologies in autonomous systems.
- Identify and address complex technical challenges, proposing innovative solutions.
- Contribute to intellectual property generation and technical publications.
- Ensure adherence to automotive safety standards (e.g., ISO 26262) and best practices throughout the development lifecycle.
- Stay abreast of the evolving landscape of AI, machine learning, and robotics as applied to autonomous vehicles.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a specialization in autonomous systems.
- Minimum of 10 years of progressive experience in the development of autonomous systems, with a significant focus on automotive applications.
- Deep expertise in algorithms for perception (e.g., computer vision, LiDAR/radar processing), sensor fusion, SLAM, motion planning, and control theory.
- Proficiency in programming languages such as C++ and Python, and experience with robotics frameworks (e.g., ROS).
- Strong understanding of machine learning techniques and their application in autonomous systems.
- Experience with simulation environments (e.g., CARLA, Gazebo) and large-scale data analysis.
- Proven track record of leading complex technical projects from concept to production.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a distributed, remote team.
- Experience with safety-critical systems development and relevant standards.
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8
Senior Autonomous Systems Engineer
CB2 0SW Cambridge, Eastern
£80000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is at the forefront of automotive innovation and is seeking a highly motivated Senior Autonomous Systems Engineer to join their pioneering, fully remote development team. This is a unique opportunity to contribute to the next generation of self-driving technology. You will be instrumental in designing, developing, and testing advanced algorithms and software for autonomous vehicle systems, including perception, planning, and control. This role demands a deep understanding of robotics, machine learning, computer vision, and software engineering best practices, all applied within a collaborative, remote-first environment. You will work with simulated and real-world data to push the boundaries of what is possible in autonomous mobility.
Key Responsibilities:
Key Responsibilities:
- Lead the design and implementation of robust algorithms for sensor fusion, object detection, tracking, and scene understanding.
- Develop and refine path planning and motion control strategies for safe and efficient vehicle operation.
- Contribute to the architecture and development of the overall autonomous driving software stack.
- Design and execute comprehensive testing and validation plans, including simulation and on-road testing.
- Collaborate with cross-functional teams (hardware, ML, safety) to integrate and deploy autonomous features.
- Analyse large datasets from vehicle logs and simulations to identify performance bottlenecks and areas for improvement.
- Stay abreast of the latest research and advancements in autonomous driving and artificial intelligence.
- Mentor junior engineers and contribute to a culture of technical excellence and innovation.
- Ensure all software developed adheres to strict safety standards and best practices.
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