4 Lead Autonomous Vehicle Systems Engineer jobs in whatjobs
Lead Autonomous Vehicle Systems Engineer
Posted 20 days ago
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Job Description
Responsibilities:
- Define and architect the overall system design for autonomous driving capabilities.
- Lead the integration of various subsystems, including perception, sensor fusion, localization, path planning, and vehicle control.
- Develop and manage system requirements, specifications, and validation plans.
- Oversee the development and testing of safety-critical software components.
- Collaborate with hardware and software teams to ensure robust system performance.
- Conduct rigorous system-level testing and simulation to identify and resolve issues.
- Champion best practices in systems engineering, including model-based design and V-model development.
- Mentor and guide junior engineers, fostering a culture of innovation and continuous improvement.
- Interface with regulatory bodies and ensure compliance with industry standards.
- Document system designs, test procedures, and performance analyses thoroughly.
- Master's or PhD degree in Electrical Engineering, Computer Engineering, Robotics, or a related field.
- 8+ years of experience in automotive systems engineering, with a significant focus on autonomous driving or ADAS.
- Proven experience leading complex engineering projects from concept to production.
- Deep understanding of vehicle dynamics, control systems, and real-time embedded systems.
- Expertise in functional safety (ISO 26262) and automotive cybersecurity principles.
- Familiarity with sensor technologies (LiDAR, radar, cameras, IMU) and their integration.
- Proficiency in simulation environments (e.g., CARLA, NVIDIA DriveSim) and relevant tools (ROS, AUTOSAR).
- Excellent leadership, communication, and problem-solving skills.
- Experience with Agile development methodologies is a plus.
- Ability to work effectively in a fully remote, distributed team environment.
Lead Autonomous Vehicle Systems Engineer
Posted 20 days ago
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Job Description
The ideal candidate will possess a deep understanding of robotics, artificial intelligence, and software engineering principles, with a proven track record in the autonomous vehicle domain. You should be adept at system architecture design, algorithm development, and performance optimization. Experience with simulation tools, hardware-in-the-loop testing, and real-world vehicle validation is essential. You will be expected to define system requirements, identify technical challenges, and propose innovative solutions. Strong leadership qualities, excellent communication skills, and the ability to mentor junior engineers are critical for this role. You will work in a fast-paced, dynamic environment, contributing to the future of transportation. This is an exciting opportunity to shape the safety, efficiency, and performance of autonomous driving systems.
Responsibilities:
- Lead the design, development, and integration of autonomous vehicle software systems.
- Define system architectures and roadmaps for autonomous driving functionalities.
- Develop and optimize algorithms for perception, sensor fusion, localization, path planning, and control.
- Oversee the testing and validation of autonomous systems, including simulation and real-world scenarios.
- Collaborate with cross-functional teams (hardware, software, testing) to ensure seamless integration.
- Mentor and guide a team of software engineers, fostering technical excellence and innovation.
- Identify and address technical risks and challenges, proposing effective solutions.
- Contribute to the continuous improvement of development processes and tools.
- Stay current with the latest advancements in AI, machine learning, and autonomous driving technologies.
- Document system designs, algorithms, and test results thoroughly.
- Master's or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
- Minimum of 10 years of experience in software engineering, with at least 5 years focused on autonomous vehicles.
- Proven experience in developing and deploying complex robotic or AI systems.
- Expertise in C++, Python, and relevant libraries (e.g., ROS, TensorFlow, PyTorch).
- Strong understanding of algorithms, data structures, and software design principles.
- Experience with sensor technologies (LiDAR, radar, cameras) and data processing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Demonstrated leadership and team management capabilities.
- Strong communication and collaboration skills, effective in a remote setting.
Lead Autonomous Vehicle Systems Engineer
Posted 12 days ago
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Job Description
Responsibilities:
- Lead the architectural design and development of autonomous vehicle software and hardware systems.
- Oversee the integration of various subsystems, including perception, localization, planning, and control.
- Develop and implement robust algorithms for sensor fusion, object detection, tracking, and prediction.
- Design and execute simulation and real-world testing strategies to validate system performance and safety.
- Collaborate closely with hardware engineers, AI researchers, and product managers to define system requirements and roadmaps.
- Mentor and guide a team of engineers, fostering a culture of innovation and technical excellence.
- Ensure compliance with automotive safety standards and regulations.
- Identify and evaluate new technologies and approaches to enhance autonomous driving capabilities.
- Troubleshoot complex system-level issues and implement effective solutions.
- Contribute to the overall strategy and vision for the company's autonomous driving initiatives.
This is a critical role that demands a blend of technical depth, leadership acumen, and strategic thinking. While the nominal location is Ongata Rongai, Kajiado, KE , this position is entirely remote, allowing us to attract the best talent globally. We are looking for a proactive, results-oriented individual who thrives in a fast-paced, innovative environment and is passionate about revolutionizing the automotive industry. Your expertise will be instrumental in driving our autonomous driving technology forward.
Qualifications:
- Master's or Ph.D. in Computer Engineering, Electrical Engineering, Robotics, or a related field.
- 10+ years of experience in the automotive industry, with at least 5 years focused on autonomous driving systems.
- Demonstrated experience leading engineering teams and managing complex projects.
- Strong understanding of robotics principles, including SLAM, path planning, and control theory.
- Proficiency in C++ and Python, with experience in relevant libraries and frameworks.
- Expertise in sensor fusion techniques (LiDAR, Radar, Camera, IMU).
- Familiarity with automotive communication protocols (e.g., CAN, Ethernet).
- Experience with simulation tools (e.g., CARLA, NVIDIA Drive Sim).
- Excellent problem-solving, analytical, and communication skills.
- Deep understanding of functional safety (ISO 26262).
Lead Autonomous Vehicle Systems Engineer
Posted today
Job Viewed
Job Description
Responsibilities:
- Lead the architecture, design, and implementation of critical components for autonomous vehicle systems, including sensor fusion, path planning, decision-making algorithms, and vehicle control.
- Mentor and manage a team of software and systems engineers, fostering a collaborative and innovative work environment.
- Define and drive the technical roadmap for autonomous vehicle development, ensuring alignment with project goals and timelines.
- Oversee the integration of hardware and software components, ensuring seamless operation and performance of the autonomous driving stack.
- Develop and execute rigorous testing and validation strategies, including simulation and real-world driving, to ensure the safety and reliability of autonomous systems.
- Analyze large datasets from vehicle testing to identify performance bottlenecks, bugs, and areas for improvement.
- Collaborate with cross-functional teams, including hardware engineers, safety experts, and simulation specialists, to deliver robust and production-ready solutions.
- Stay current with the latest advancements in AI, machine learning, robotics, and automotive technology relevant to autonomous driving.
- Contribute to the development of intellectual property and technical documentation.
- Master's degree or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related field.
- Minimum of 8 years of professional experience in automotive engineering, with at least 5 years specifically focused on autonomous vehicle systems development.
- Proven experience in leading engineering teams and managing complex technical projects.
- Strong expertise in software development, particularly in C++, Python, and relevant frameworks (e.g., ROS, TensorFlow, PyTorch).
- Deep understanding of sensor technologies (LiDAR, radar, cameras), sensor fusion techniques, and perception algorithms.
- Extensive knowledge of planning, control, and decision-making algorithms for autonomous systems.
- Experience with simulation tools and methodologies for testing and validation of autonomous driving functions.
- Familiarity with automotive safety standards (e.g., ISO 26262) and functional safety concepts.
- Excellent problem-solving, debugging, and analytical skills.
- Ability to thrive in a fast-paced, fully remote R&D environment.
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