EngineeringHybrid

Senior Research Engineer, Controls

PlusAI · Hybrid

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from PlusAI's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: $150,000 - $200,000
Location: Santa Clara, CA

Hiring context

How this role compares at PlusAI

PlusAI has 39 live roles in MeritLog’s catalog across 6 job families, and 21 of them are in engineering. 36 of those listings publish a pay range, a disclosure rate of 92%.

This role's posted range of $150,000 - $200,000 sits above 60% of the 35 other PlusAI roles quoted over the same currency and period.

PlusAI concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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
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

What they're asking for

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.SkillPreferred
Have a solid understanding of AV control, vehicle dynamics and drive-by-wire systemsSkillPreferred
Proven expertise with application, verification and validation for ADAS/autonomous driving features and functionsSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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 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.

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