Our objective is to form the top technical team by leveraging the talents available within our community. The team is currently in the development phase and will comprise the following members:
- Strong organizational and leadership skills.
- Experience with agile methodologies and project management tools.
- Excellent communication and coordination abilities.
- Managing the project timeline, resources, and budget.
- Coordinating between different teams and ensuring effective collaboration.
- Tracking progress and ensuring milestones are met.
- Proficiency in machine learning algorithms, especially reinforcement learning.
- Experience with frameworks like TensorFlow, PyTorch, or Keras.
- Knowledge of neural networks, computer vision, and sensor fusion.
- Developing and training the AI models.
- Implementing and optimizing algorithms for real-time decision-making.
- Ensuring the model's robustness and generalization.
- Strong background in statistics, data analysis, and data visualization.
- Experience with big data tools like Hadoop, Spark, or similar.
- Proficiency in data preprocessing and feature engineering.
- Collecting, cleaning, and preprocessing data from sensors and simulations.
- Analyzing performance data to improve the model.
- Developing data-driven insights to refine the racing strategies.
- Knowledge of robotics, control systems, and real-time systems.
- Experience with ROS (Robot Operating System) or similar frameworks.
- Proficiency in programming languages like C++, Python, and MATLAB.
- Integrating the AI model with the physical components of the autonomous vehicle.
- Ensuring real-time processing and control.
- Developing and tuning control algorithms for optimal performance.
- Strong programming skills in languages like C++, Python, and Java.
- Experience with embedded systems and real-time computing.
- Knowledge of software development best practices, version control, and CI/CD.
- Writing efficient and reliable code for the AI model.
- Implementing software that interfaces with hardware components.
- Ensuring the robustness and scalability of the software architecture.
- Experience with simulation environments like Gazebo, CARLA, or similar.
- Proficiency in 3D modeling and physics engines.
- Knowledge of sensor simulation and virtual testing.
- Creating realistic simulation environments for training and testing.
- Conducting virtual tests to validate and improve the AI model.
- Simulating different racing scenarios and conditions.
- Strong networking and relationship-building skills.
- Experience in business development and partnership management.
- Knowledge of the automotive and AI/ML industries.
- Identifying and securing strategic partnerships and sponsorships.
- Managing relationships with partners, sponsors, and stakeholders.
- Negotiating terms and agreements to benefit the project.
- Coordinating with internal teams to leverage partnerships effectively.
- Knowledge of vehicle dynamics, sensors, and actuators.
- Experience with circuit design, PCB layout, and embedded systems.
- Understanding of automotive standards and safety protocols.
- Designing and implementing the hardware components of the autonomous vehicle.
- Ensuring the integration of sensors and actuators with the AI system.
- Troubleshooting and maintaining the vehicle's hardware.
- Understanding of AI ethics, safety, and regulatory compliance.
- Knowledge of risk assessment and mitigation strategies.
- Experience with safety protocols in autonomous systems.
- Ensuring the ethical deployment of AI in racing.
- Developing safety protocols and fail-safes.
- Monitoring compliance with regulations and standards.
- Practical experience with autonomous vehicle testing.
- Knowledge of testing protocols and data collection.
- Ability to troubleshoot and resolve issues in the field.
- Conducting real-world tests and collecting performance data.
- Providing feedback to improve the AI model and vehicle systems.
- Ensuring the vehicle performs optimally under various conditions.