7 часов назад
Senior Research Engineer, Controls (Autonomous Vehicles)
150 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Research Engineer, Controls (Autonomous Vehicles): Developing mission-critical motion planning and control capabilities for autonomous trucks with an accent on machine-learning vehicle models, data-driven control policies, and real-time performance. Focus on integrating MPC with learning-based approaches, building training and evaluation infrastructure, and testing and debugging vehicle behavior in simulation and on public roads.
Location: Santa Clara, CA, United States; hybrid workplace
Salary: $150,000–$200,000 per year
Company
develops AI-based virtual driver software for factory-built autonomous trucks and operates across the United States and Europe.
What you will do
- Design and enhance control algorithms integrating model predictive control with deep learning, reinforcement learning, and imitation learning.
- Develop machine-learning vehicle models and data-driven control policies for autonomous trucking.
- Build dataset generation, training, and evaluation tools and infrastructure for online control optimization.
- Keep model development real-time and efficient in compute-constrained environments.
- Plan and execute vehicle testing in offline simulation and on public roads, including performance tuning, troubleshooting, root cause analysis, and debugging.
- Collaborate with engineers, research scientists, and domain experts while incorporating the latest research advancements.
Requirements
- Master’s or PhD degree in Computer Science, Mechanical Engineering, Robotics, Aerospace Engineering, or a related field.
- At least 2 years of machine learning engineering or industry experience designing and developing robotics applications.
- Strong foundation in motion control and modern neural network architectures, with expertise in areas such as imitation learning, reinforcement learning, time-series analysis, or dynamic system modeling.
- Strong programming skills in Python and C++, plus experience debugging robotic systems in Linux environments.
- Experience developing and training models with modern frameworks such as PyTorch.
- Hands-on familiarity with data ingestion and processing pipelines.
Nice to have
- Experience with adaptive and nonlinear control, MPC and optimal control, robust control, data-driven control, or Kalman filters.
- Understanding of autonomous vehicle control, vehicle dynamics, and drive-by-wire systems.
- Experience applying, verifying, and validating ADAS or autonomous driving features and functions.
Culture & Benefits
- Work in a future-oriented and innovative autonomous driving field.
- Opportunities for personal and professional development.
- Catered free lunch, unlimited snacks, and beverages.
- Competitive salary and benefits package, including a 401(k) plan.
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