Senior Research Engineer, Controls

PlusAI Inc; Santa Clara (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Catered free lunch

Unlimited snacks and beverages

401(k) plan

Job summary

PlusAI is seeking a skilled Research Engineer to enhance its autonomy motion planning and control systems. The role involves developing machine-learning vehicle models and optimizing performance through rigorous vehicle testing and analysis.

Candidates should possess a Master’s or PhD degree in relevant fields and have substantial programming experience, particularly in Python and C++. The position offers a competitive salary of $150,000 to $200,000 per year along with a robust benefits package.

Qualifications

• 2+ years of experience designing and developing for robotics applications.
• Strong foundation in modern neural network architectures.
• Skilled in debugging robotic systems in Linux environments.

Responsibilities

• Design, implement, and enhance control algorithms for autonomy systems.
• Work with domain experts on data-driven controller design.
• Develop tools for dataset generation and evaluation.

Skills

Machine Learning Engineering experience

Motion control expertise

Programming in Python

Programming in C++

Education

Master’s or PhD in Computer Science, Mechanical Engineering, Robotics, or related field

Tools

PyTorch

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

As a Research Engineer, you will deliver mission‑critical improvements and new features for our autonomy motion planning and control stack. You will be a crucial part of our team, working alongside engineers, research scientists, and domain experts to build optimal and data‑driven controls to realize planned vehicle trajectories.

Your responsibilities will include the development of machine‑learning vehicle models and learning‑based control policies leveraging the extensive data we collect every day across our autonomous trucking fleet. You will also have the opportunity to solve real‑world autonomy system challenges by participating in vehicle performance analysis, tuning, and troubleshooting. You will contribute significantly to our commitment to pushing the frontiers of technological innovation in Autonomy.

Responsibilities

• Design, implement, and enhance control algorithms by developing frameworks that integrate MPC with learning based approaches (DL/RL/IL)
• Work cross‑functionally with domain experts to implement data‑driven controller design for scalability
• Develop tools and infrastructure for dataset generation, training, and evaluation to drive advancements in online control optimization
• Ensure all model development keeps a real‑time focus and operates efficiently in compute‑constrained environments
• Take a lead role in the planning and execution of vehicle testing in the offline simulation environment and on the public road to systematically improve performance, as well as performing root cause analysis and debugging to address the issues
• Track and incorporate the latest research advancements

Required Skills

• Master’s or PhD degree in Computer Science, Mechanical Engineering, Robotics, Aerospace Engineering or related field
• 2+ years of MLE experience or industry experience designing and developing for robotics applications
• Strong foundation in motion control and modern neural network architectures, with expertise in at least one application area, such as IL/RL, time‑series analysis, or dynamic system modeling
• Skilled in debugging robotic systems within Linux environments, with strong programming expertise in Python and C++
• Experience model development & training with modern frameworks (e.g. PyTorch)
• Hands‑on familiarity with data ingestion and processing pipelines

Preferred Skills

• Hands‑on application skills in any of the following areas: adaptive and nonlinear control, MPC & optimal control, robust control, data‑driven control, Kalman filters, etc.
• Have a solid understanding of AV control, vehicle dynamics and drive‑by‑wire systems
• Proven expertise with application, verification and validation for ADAS/autonomous driving features and functions

$150,000 - $200,000 a year

Your opportunities joining PlusAI

Work, learn and grow in a highly future‑oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.