What Jobs are available for Autonomous Driving Systems in Kenya?
Showing 1083 Autonomous Driving Systems jobs in Kenya
Lead Automotive Software Engineer - Autonomous Driving Systems
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a dynamic and experienced Lead Automotive Software Engineer to spearhead the development of advanced autonomous driving systems. This fully remote position offers a unique opportunity to work at the forefront of automotive innovation. You will be responsible for the architecture, design, and implementation of critical software modules for perception, planning, and control within autonomous vehicles. This role requires a deep understanding of real-time embedded systems, sensor fusion, path planning algorithms, and safety-critical software development. You will lead a team of talented engineers, providing technical guidance, mentoring, and ensuring the successful delivery of complex software projects. Collaboration with cross-functional teams, including hardware engineers and AI specialists, will be essential. The ideal candidate will have extensive experience in C++, Python, and ROS, with a proven track record in automotive software development and a strong grasp of ISO 26262 functional safety standards. We are looking for individuals with excellent leadership qualities, exceptional problem-solving skills, and a passion for creating the future of mobility. As a remote-first role, you will have the flexibility to work from anywhere, contributing to a world-class development environment. A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, combined with at least 7 years of relevant experience, is required. Experience with simulation tools and testing methodologies for autonomous systems is highly desirable. Join us in revolutionizing the automotive industry and driving innovation from the comfort of your own space. This position is fully remote, allowing for unparalleled flexibility and global collaboration.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
0
Lead Autonomous Driving Software Engineer
Posted 17 days ago
Job Viewed
Job Description
Our client is at the forefront of revolutionizing transportation and seeks an exceptional Lead Autonomous Driving Software Engineer to spearhead the development of our cutting-edge self-driving technology. This fully remote position offers the unique opportunity to shape the future of mobility from your home office, collaborating with a world-class team of engineers and researchers. You will be responsible for designing, implementing, and optimizing complex algorithms related to perception, planning, and control for autonomous vehicles. This role requires a deep understanding of software engineering best practices, artificial intelligence, machine learning, and real-time systems. The ideal candidate will have a proven track record of delivering robust and scalable software solutions in a challenging and fast-paced environment.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the design, development, and testing of core autonomous driving software modules, including sensor fusion, object detection, path planning, and vehicle control.
- Develop and implement advanced algorithms leveraging machine learning, deep learning, and computer vision techniques.
- Write clean, efficient, and well-documented C++ and Python code for real-time embedded systems.
- Collaborate closely with hardware engineers, data scientists, and testing teams to ensure seamless integration and performance.
- Optimize algorithms for performance, accuracy, and robustness in diverse driving scenarios.
- Define software architecture and ensure adherence to coding standards and best practices.
- Conduct rigorous testing and validation of software components, including simulation and real-world vehicle testing.
- Mentor and guide junior software engineers, fostering a culture of technical excellence.
- Stay abreast of the latest research and advancements in the field of autonomous driving and AI.
- Contribute to the overall strategy and roadmap for autonomous driving technology development.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on AI/ML.
- Minimum of 10 years of experience in software development, with at least 5 years focused on autonomous driving systems or related AI/ML applications.
- Expert proficiency in C++ and Python programming.
- Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
- Strong knowledge of algorithms, data structures, and software design patterns.
- Experience with robotics middleware (e.g., ROS) and simulation environments (e.g., CARLA, Gazebo).
- Proven ability to lead technical teams and manage complex software projects.
- Excellent problem-solving, debugging, and analytical skills.
- Strong communication and collaboration skills, essential for a remote, global team.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
1
Automotive Embedded Systems Engineer - Autonomous Driving
Posted 3 days ago
Job Viewed
Job Description
Our client, a visionary leader in automotive innovation, is seeking a highly skilled Automotive Embedded Systems Engineer to contribute to the development of next-generation autonomous driving systems. This is a fully remote position that offers the exciting opportunity to work on cutting-edge technology shaping the future of transportation. You will be responsible for the design, development, testing, and integration of embedded software and hardware components for autonomous vehicle platforms. This includes working with microcontrollers, sensors, communication protocols (e.g., CAN, Ethernet), and real-time operating systems (RTOS). The ideal candidate will possess a strong foundation in C/C++ programming, hardware-software co-design, and a deep understanding of automotive functional safety standards (e.g., ISO 26262). Experience with sensor fusion, perception algorithms, path planning, and control systems is highly desirable. You will collaborate with a world-class engineering team in a dynamic, remote-first environment, ensuring seamless integration of complex systems. Troubleshooting and debugging complex embedded systems will be a key aspect of your role. We are looking for individuals who are passionate about automotive technology, possess excellent analytical and problem-solving skills, and thrive in a collaborative, innovative setting. The ability to work independently and manage projects effectively in a remote capacity is essential. This role offers a unique chance to be at the forefront of automotive technology, making a significant impact on the safety and intelligence of future vehicles. Your expertise will be crucial in bringing robust and reliable autonomous driving features to life, driving innovation in a rapidly evolving industry.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
2
Senior Automotive Systems Engineer - Autonomous Driving
Posted 10 days ago
Job Viewed
Job Description
Our client, a pioneer in automotive innovation, is actively seeking a highly skilled Senior Automotive Systems Engineer to contribute to the development of cutting-edge autonomous driving technologies. This is a fully remote, critical role that allows you to work from anywhere while shaping the future of mobility. You will be responsible for defining, designing, and integrating complex automotive systems, with a specific focus on autonomous vehicle functionalities. Your responsibilities will include system architecture design, requirements management, functional safety analysis (ISO 26262), and verification and validation of system performance. The ideal candidate will possess a strong background in automotive engineering, including extensive experience with embedded systems, software development life cycles, and vehicle communication protocols (e.g., CAN, Ethernet). A proven track record in the development of ADAS (Advanced Driver-Assistance Systems) or autonomous driving systems is a significant advantage. You will collaborate with cross-functional teams, including hardware engineers, software developers, and AI/ML specialists, to ensure the successful implementation of integrated systems. Excellent analytical, problem-solving, and technical documentation skills are essential. The ability to effectively communicate complex technical concepts to diverse audiences, both written and verbally, is crucial. This role demands a proactive, detail-oriented individual who can thrive in a challenging and fast-paced remote work environment. You must be adept at managing competing priorities, driving innovation, and ensuring the highest standards of safety and performance in your designs. A deep understanding of simulation tools and methodologies for testing autonomous systems will be highly beneficial. If you are passionate about pushing the boundaries of automotive technology and contributing to safer, more intelligent transportation, this remote opportunity is for you.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
3
Junior AI/ML Engineer - Data Science Internship
Posted 4 days ago
Job Viewed
Job Description
Our client is offering a unique opportunity for ambitious and bright minds to join their innovative team as a Junior AI/ML Engineer through a fully remote internship program. This internship is designed for individuals passionate about artificial intelligence and machine learning, providing hands-on experience in building and deploying intelligent systems. You will work under the guidance of experienced data scientists and engineers, contributing to real-world projects that leverage cutting-edge AI technologies. Your responsibilities will include data cleaning, preprocessing, feature engineering, and assisting in the development and testing of machine learning models. You will gain exposure to various AI domains, including natural language processing, computer vision, and predictive analytics. This role requires a strong foundation in programming, particularly Python, and a solid understanding of fundamental machine learning concepts. Familiarity with libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch is highly desirable. The ideal candidate is currently pursuing or has recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field. Excellent analytical and problem-solving skills, coupled with a keen attention to detail, are essential. You should possess strong communication skills and the ability to collaborate effectively within a remote team environment. This internship offers invaluable practical experience, mentorship, and the potential for future career growth within the AI/ML field. We are looking for proactive individuals who are eager to learn, contribute, and apply their academic knowledge to solve challenging problems. Your dedication and enthusiasm will be key to your success and impact during this program. This is more than just an internship; it's a stepping stone into a thriving career in AI. You'll have the chance to work with diverse datasets and cutting-edge tools, all from the comfort of your home office. We encourage applications from all backgrounds who meet the qualifications.
Key Responsibilities:
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing for ML models.
- Support the development and training of machine learning algorithms.
- Conduct experiments and evaluate model performance.
- Collaborate with senior engineers on AI/ML projects.
- Learn and apply new AI/ML techniques and tools.
- Document code and research findings.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, or related field.
- Strong understanding of machine learning fundamentals.
- Proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn).
- Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a plus.
- Excellent analytical and problem-solving abilities.
- Strong communication and teamwork skills for a remote setting.
- Eagerness to learn and contribute to innovative projects.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
4
Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 14 days ago
Job Viewed
Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
5
Lead AI/ML Engineer - Computer Vision
Posted 7 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation in AI and Emerging Technologies and is seeking a highly skilled Lead AI/ML Engineer specializing in Computer Vision. This is a fully remote position, offering the chance to drive cutting-edge projects from your home office. You will be responsible for designing, developing, and deploying advanced computer vision models and systems that solve complex real-world problems. The ideal candidate will have a deep understanding of machine learning algorithms, deep learning frameworks, and state-of-the-art computer vision techniques. You will lead a team of talented engineers, mentor junior members, and collaborate with product managers to bring innovative AI solutions to life. This role requires a self-starter with strong technical leadership and excellent communication skills to thrive in a remote work environment.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of computer vision algorithms and models.
- Build and train deep learning models for image recognition, object detection, segmentation, and tracking.
- Optimize model performance for accuracy, efficiency, and scalability across various platforms.
- Develop and maintain robust data pipelines for training and evaluating computer vision models.
- Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.
- Stay current with the latest research and advancements in computer vision and deep learning.
- Mentor and guide junior AI/ML engineers, fostering technical excellence and best practices.
- Architect scalable and robust ML systems for production deployment.
- Conduct rigorous testing and validation of AI models to ensure reliability and performance.
- Contribute to the technical roadmap and strategic direction of the AI/ML team.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Troubleshoot and resolve issues related to AI/ML model performance and deployment.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in AI/ML or Computer Vision.
- Minimum of 6-8 years of hands-on experience in developing and deploying computer vision models.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for ML model training and deployment.
- Solid understanding of image processing techniques and digital signal processing.
- Experience in leading technical teams and mentoring engineers is highly desirable.
- Excellent problem-solving skills and the ability to work effectively in a fast-paced, remote environment.
- Strong communication and collaboration skills.
- Familiarity with data augmentation, transfer learning, and other model optimization techniques.
- Experience with real-time computer vision applications is a plus.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Autonomous driving systems Jobs in Kenya !
6
Senior AI/ML Engineer - Computer Vision
Posted 14 days ago
Job Viewed
Job Description
Our client is a leader in artificial intelligence research and development, seeking a highly skilled Senior AI/ML Engineer specializing in Computer Vision to join their elite, fully remote team. You will be instrumental in designing, developing, and deploying state-of-the-art computer vision models and applications that push the boundaries of what's possible. This role requires a deep understanding of deep learning frameworks, algorithm development, and the ability to work on complex, challenging problems from inception through to production. The ideal candidate is a creative problem-solver with a passion for computer vision and a proven track record of delivering impactful AI solutions.
Key Responsibilities:
Key Responsibilities:
- Design, implement, and train deep learning models for various computer vision tasks, including object detection, image segmentation, facial recognition, and image generation.
- Develop and optimize algorithms for real-time image and video analysis.
- Conduct rigorous experimentation and evaluation of models, using appropriate metrics and statistical methods.
- Collaborate with cross-functional teams to integrate computer vision capabilities into new and existing products and services.
- Stay current with the latest research and advancements in computer vision and deep learning, and apply them to solve practical problems.
- Develop and maintain efficient data pipelines for training and inference.
- Optimize model performance for deployment on various platforms, including cloud and edge devices.
- Contribute to the overall AI/ML strategy and roadmap of the company.
- Mentor junior engineers and share knowledge within the team.
- Document research findings, algorithms, and implementation details thoroughly.
- Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a specialization in Computer Vision or Machine Learning.
- Minimum of 7 years of hands-on experience in developing and deploying computer vision models using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python and C++.
- Strong understanding of core computer vision algorithms and techniques.
- Experience with large-scale datasets and distributed training environments.
- Solid grasp of image processing, feature extraction, and machine learning principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a fast-paced, fully remote environment.
- Strong communication and presentation skills to articulate technical concepts effectively.
- Experience with cloud platforms (AWS, GCP, Azure) for ML model training and deployment is a plus.
- Publications in top-tier computer vision or machine learning conferences (e.g., CVPR, ICCV, NeurIPS) are highly valued.
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
7