Motion Planning Engineer Job at Tutor Intelligence (Watertown)

Principal Engineer / Director, Motion Planning

Location

United States , Santa Clara

Salary:

200000.00 - 280000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

7-10 years of experience building data-driven, fault-tolerant systems
Proven record of delivering a DL based system
MS or PhD in Computer Science or equivalent practical experience
Extensive experience designing and building modern planning systems a big plus
Passionate about writing amazing, robust, safety-critical, efficient C++ and Python

Job Responsibility

Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning
Assume responsibility for the overall planning, execution, and success of autonomous driving related projects
Actively code and develop prototypes to test novel algorithms and ideas
Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team
Scale end-to-end ML pipelines for research and production, from data ingestion and pre-processing to model training, validation, deployment, and monitoring
Stay on top of the latest trends, technologies, and best practices in machine learning and artificial intelligence
Present the progress to senior leadership and cross-functional teams
Ensure that technical work meets customer requirements, regulatory standards, and company quality policies
Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts
Ensure team compliance with QMS, monitor quality, and drive process improvements

Fulltime

Software Engineer, Behavior & Motion Planning

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ...

Location

United States , Mountain View

Salary:

165000.00 - 185000.00 USD / Year

Kodiak Robotics

Expiration Date

Until further notice

Requirements

A strong background in robotics, planning, optimization, and mathematics (MS, PhD, or equivalent experience)
Software development experience writing production-level C++
High standards for software quality and rigor, and a testing-oriented mentality
Good communication skills and a collaborative bent
Proven ability to iterate quickly and work hands-on

Job Responsibility

Design and implement new approaches to help our trucks plan through challenging situations
Translate desired driving behaviors into algorithms, code, and cost functions that make the Kodiak Driver a safe, smooth, and polite road participant
Predict the behavior of other actors in a way that's both accurate and improves driving performance
Improve the end-to-end latency of the motion planning and prediction algorithms
Build tools that enable us to leverage real-world logs to improve our algorithms
Work closely with other teams to establish interfaces and requirements
Invent cross-functional solutions to cutting-edge problems in autonomous-driving

What we offer

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO and generous parental leave policies
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

Fulltime

Senior Robotics Software Engineer, Planning and Control

As a Senior Robotics Software Engineer, Planning and Control at Chef Robotics, y...

Location

United States , San Francisco

Salary:

150000.00 - 260000.00 USD / Year

Chef Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field
7+ years of professional experience in robotics software development with focus on planning and control
Expert-level proficiency in Python and/or C++ with strong software engineering fundamentals
Deep understanding of motion planning algorithms including sampling-based, optimization-based, and learning-based approaches
Extensive experience with trajectory optimization, path planning, and trajectory smoothing techniques
Proven experience leading and shipping complex robotics planning and control projects
Strong background with real-time control systems and feedback control design
Advanced knowledge of robotic motion planning including RRT, PRM, and optimization-based planning methods
Experience with trajectory optimization techniques and numerical optimization methods
Understanding of control theory including PID, model predictive control, and adaptive control strategies

Job Responsibility

Lead the development of classical and learning-based motion planning algorithms for complex food preparation workflows
Design and implement trajectory optimization systems that balance speed, safety, and precision across multi-step recipes
Develop robust path planning algorithms that handle dynamic obstacles and changing kitchen environments
Create adaptive planning systems that can replan in real-time based on changing conditions or recipe modifications
Implement global and local planning strategies for efficient task sequencing and execution
Design and implement advanced control algorithms for precise robot motion during food preparation tasks
Develop real-time control systems that ensure smooth trajectory execution with appropriate safety constraints
Create feedback control loops that adapt to unexpected situations and maintain system stability
Implement model predictive control and other advanced control techniques for optimal performance
Design fail-safe mechanisms and emergency stop procedures for safe operation in commercial environments

What we offer

Medical, dental, and vision insurance
Commuter benefits
Flexible paid time off (PTO)
Catered lunch
401(k) matching
Early-stage equity

Fulltime

PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning)

Skydio builds the world’s most advanced autonomous drones used across inspection...

Location

Switzerland , Zurich

Salary:

50.00 EUR / Hour

Skydio

Expiration Date

Until further notice

Requirements

PhD student in Robotics, Machine Learning, Controls, or related field
Strong fundamentals in RL, control theory, and motion planning
comfort with safety/robustness concepts
Proficient in Python (PyTorch/JAX/Ray RLlib) and at least one of C++ or CUDA
Hands-on experience with robotics simulation (Isaac Lab/MuJoCo/PyBullet) and sim2real techniques
Experience training/deploying policies for navigation, manipulation, or locomotion on real robots or autonomous vehicles

Job Responsibility

Develop and deploy reinforcement learning (and adjacent policy-learning methods) that make Skydio aircraft plan, navigate, and control themselves more intelligently—safely, reliably, and efficiently—across our ecosystem: handheld apps, ground control, cloud autonomy services, and fleet workflows
Navigation & avoidance in the wild: Train policies that adapt online to cluttered 3D scenes (forests, bridges, urban canyons), complementing our geometric stack for robust obstacle avoidance and dynamic goal-seeking
RL-augmented planning: Fuse learned cost shaping / value functions with trajectory optimization for smooth, agile flight with tight safety envelopes and mission constraints
Sim → Real at scale: Build scalable datasets and training loops with Isaac Lab, domain randomization, residual learning, and safety filters
validate on real drones weekly
Human-in-the-loop shared control: Learn assistive policies that blend pilot intent, autonomy priors, and uncertainty-aware behaviors for intuitive control handoffs
Fleet & multi-agent: Explore decentralized coordination for coverage, pursuit, and collaborative mapping with minimal comms

Senior Software Engineer, Autonomy - Behavior, Planning & Controls

As a Senior Software Engineer, you will play a pivotal role in developing next-g...

Location

United States , Mountain View

Salary:

180000.00 - 198000.00 USD / Year

Cyngn

Expiration Date

Until further notice

Requirements

MS/PhD in Computer Science, Robotics, or a related technical field, or equivalent practical experience
Strong proficiency in C++ and Python with a deep understanding of software development best practices
Solid foundation in robotics principles, particularly motion planning and control systems
Strong background in vehicle dynamics and experience applying these principles to autonomous systems
Knowledge of nonlinear optimization and search-based planning techniques
Familiarity with ROS2 for designing, building, and operating robotic systems
Strong mathematical foundation, including geometry, linear algebra, and probability
Excellent problem-solving abilities with a proactive approach in a fast-paced, collaborative environment
Strong communication and cross-team collaboration skills

Job Responsibility

Design, implement, and optimize motion planning and control algorithms for autonomous vehicles
Develop and enhance software infrastructure for vehicle simulation, performance validation, and system diagnostics
Architect and refine path-planning and tracking control algorithms to improve autonomy performance
Collaborate with cross-functional teams to deploy and validate solutions in both simulated and real-world environments
Balance hands-on development, code reviews, and research to achieve product-driven milestones in a fast-paced startup environment
Integrate cutting-edge robotics research into our autonomous driving stack to enhance system capabilities

What we offer

Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
Company 401(k)
Commuter Benefits
Flexible vacation policy
Sabbatical leave opportunity after 5 years with the company
Paid Parental Leave
Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

Fulltime

Robotics Software Engineer

Tutor Intelligence builds software to enable ordinary robots to achieve extraord...

Location

United States , Watertown

Salary:

90000.00 - 190000.00 USD / Year

Tutor Intelligence

Expiration Date

Until further notice

Requirements

Exceptionally strong programming skills and comfort in any programming language
Natural collaborator, excited to work closely around a whiteboard in a team setting
Excited by the future full of robots and a reshaped physical economy
Not afraid to step foot in a factory or a warehouse

Job Responsibility

Orchestrating real time robot code, optimization systems for motion planning, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms
Flex up and down the robotics stack from microcontroller firmware to cloud infrastructure

What we offer

Generous equity
Fully covered health + dental
Unlimited PTO

Fulltime

Robotic Control Engineer

We are seeking a driven individual to join our full stack autonomous robotic tea...

Location

United States , San Jose

Salary:

Not provided

PolyExplore

Expiration Date

Until further notice

Requirements

High level of proficiency developing in C/C++
Experience with adaptive control, system identification, and statistical and machine learning methods
Knowledge of vehicle dynamics
Experience with search-based motion planning algorithms
Experience with software engineering tools and Linux

Job Responsibility

Develop control software for the PolyExplore robot platform
Model robot and controller dynamics and use these models to characterize and accelerate controller improvements
Building/Integrating software and algorithms for path planning and robot control

Robotics Software Engineer

As a Robotics Software Engineer at Chef Robotics, you’ll help shape the future o...

Location

United States , San Francisco

Salary:

170000.00 - 260000.00 USD / Year

Chef Robotics

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering, or related field
5+ years of experience in Python and/or C++
Experience leading and shipping complex software projects
Understanding both classical and machine/reinforcement learning approaches to robot manipulation, and the tradeoffs between various techniques
Experience with robotic waypoint generation, path planning, and trajectory smoothing
Experience with common deep learning frameworks like Tensorflow or Pytorch
Excellent software engineering fundamentals
Excellent mathematical skills, especially with geometry, probability and statistics, linear algebra, and machine learning

Job Responsibility

Develop classical or ML/RL-based motion planning and manipulation algorithms that work across thousands of different foods with varying physical properties (stickiness, density, viscosity, etc.)
Develop novel algorithms to learn ingredient properties on-the-fly and intelligently adapt manipulation parameters
Incorporate new sensor data (e.g., force control, cameras) for trajectory optimization and metrics to measure ingredient manipulation performance
Analyze manipulation performance across ingredients and optimize trajectories for throughput
Contribute to overall software architecture design and standards, including designing interfaces between subsystems
Champion engineering excellence, ensuring high-quality, well-structured, and well-tested code
Stay up-to-date with the latest robotics research and apply insights in a practical way to our system

What we offer

medical, dental, and vision insurance
commuter benefits
flexible paid time off (PTO)
catered lunch
401(k) matching
early-stage equity

Fulltime

Motion Planning Engineer

Tutor Intelligence

Location:
United States , Watertown

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 13, 2025

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