Research Engineer Intern - Control

Plus 2; Santa Clara (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Catered free lunch

Unlimited snacks and beverages

401(k) plan

Opportunities for personal and professional development

Job summary

Plus 2, a leader in AI-based virtual driver software for autonomous trucks, is seeking talented professionals to join its team in Santa Clara, California. The role involves generating control action planning and advancing vehicle model simulations using modern programming languages.

Ideal candidates possess strong skills in Modern C++, Python, Robotics, and planning. Plus 2 offers a competitive salary, 401(k) plans, catered lunches, and a dynamic workplace focused on innovation and growth.

Qualifications

• Proficient in Modern C++ and Python.
• Strong background in Robotics, Planning, Optimal control and dynamics.
• Background in Deep Learning and Reinforcement Learning.

Responsibilities

• Generate Joint lateral & longitudinal control action planning.
• Expand the lateral nonlinear MPC to include longitudinal speed adjustment.
• Leverage existing data driven vehicle model simulation to evaluate and deploy.

Skills

Modern C++

Python

Robotics

Planning

Optimal control

Dynamics

Deep Learning

Reinforcement Learning

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.

Responsibilities

• Generate Joint lateral & longitudinal control action planning
• Expand the lateral nonlinear MPC to include the longitudinal speed adjustment with additional decision variable of acceleration.
• Expand the pure slip tire model to be combined slip tire model leveraging the longitudinal speed coupling into the model. The longitudinal MPC is reallocated to be the consumer of the lateral optimized speed trace.
  Iterative lateral & longitudinal control/planning: when lateral offset is large and cannot reduce due to steering rate limit, reduce target speed and recompute lateral command -> iterate
• Leverage existing data driven vehicle model simulation to evaluate and deploy

Skills

• Proficient in Modern C++ and Python.
• Strong background in Robotics, Planning, Optimal control and dynamics.
• Background in DL/RL.

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.