Motion Planning Engineer Job at Tutor Intelligence (Watertown)

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

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

Senior Software Engineer, Planning

As a Senior Software Engineer, Planning for self-driving trucks, you will work o...

Location

United States , Santa Clara

Salary:

150000.00 - 190000.00 USD / Year

PlusAI

Expiration Date

Until further notice

Requirements

MS or PhD in Computer/Software Engineering, Robotics, Robotic Systems Development, or related field
Experience developing production code in C++, with python experience as an added advantage
Applied robotics experience in any of: Robotics/ Motion Planning/Computer Vision/Machine Learning
Strong oral and written communication skills

Job Responsibility

Design, develop and deploy motion planning software to support PlusAI’s planning, using the latest techniques in lateral and longitudinal motion planning
Utilize latest C++ numerical optimization frameworks (e.g. qpOasys) and industry standard software tools (git, ROS, etc.) to integrate new lateral and longitudinal motion planning algorithms into our production system
Perform system level diagnostics and tuning using in-house visualization tools and open-source visualization platforms (e.g. webviz)
Use good oral and written communication skills to collaborate with other engineers to produce system designs that are approved at a high level before software implementation begins

What we offer

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

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

Planning Engineer - AI Applications

As a Planning Engineer IV, you will focus on creating AI driven planning and dec...

Location

United States , Mendon

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical field
10+ years of experience working as a software engineer utilizing Python, C++, and ROS
Experience developing AI or machine learning models for autonomous decision making or planning systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Hands on experience with motion planning, image processing, pathfinding, decision modeling, or related robotics planning domains
Experience integrating AI models into real time or near real time systems and tuning for performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions

Job Responsibility

Develop AI based planning and decision models that drive autonomous robot behavior, path selection, and task execution
Integrate planning algorithms with motion planning, control systems, simulation environments, and other robotics modules
Embed planning models into production systems and platform services while ensuring compatibility with perception, control, and safety modules
Convert trained planning models into production ready components such as services, APIs, or embedded libraries
Tune algorithms for real time performance, low latency, and reliability to meet safety critical and operational requirements
Collaborate with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate planning systems using simulation, hardware in the loop, and field deployments to ensure predictable and robust autonomous performance
Monitor deployed planning systems and refine models, parameters, and integration points to continuously improve efficiency, safety, and effectiveness

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

Fulltime

Planning Engineer - AI Applications

At ASI, we are revolutionizing industries with state-of-the-art autonomous robot...

Location

United States , Lehi

Salary:

Not provided

Autonomous Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical field
10+ years of experience working as a software engineer utilizing Python, C++, and ROS
Experience developing AI or machine learning models for autonomous decision making or planning systems
Strong understanding of machine learning techniques, data modeling, and model deployment workflows
Hands on experience with motion planning, image processing, pathfinding, decision modeling, or related robotics planning domains
Experience integrating AI models into real time or near real time systems and tuning for performance
Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions

Job Responsibility

Develop AI based planning and decision models that drive autonomous robot behavior, path selection, and task execution
Integrate planning algorithms with motion planning, control systems, simulation environments, and other robotics modules
Embed planning models into production systems and platform services while ensuring compatibility with perception, control, and safety modules
Convert trained planning models into production ready components such as services, APIs, or embedded libraries
Tune algorithms for real time performance, low latency, and reliability to meet safety critical and operational requirements
Collaborate with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements
Test and validate planning systems using simulation, hardware in the loop, and field deployments to ensure predictable and robust autonomous performance
Monitor deployed planning systems and refine models, parameters, and integration points to continuously improve efficiency, safety, and effectiveness

What we offer

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO

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

Software Engineer Ii, Behavior Planning Ml Platform

Aurora’s mission is to deliver the benefits of self-driving technology safely, q...

Location

United States , Pittsburgh

Salary:

126000.00 - 201000.00 USD / Year

Aurora Innovation

Expiration Date

Until further notice

Requirements

BS or higher degree in Computer Science/Engineering or related fields. > 6 months of experience
Strong programming skills in C++ or Python, ideally both
Experience with machine learning frameworks (PyTorch or TensorFlow)
Solid foundation in computer science fundamentals - especially operating system concepts including concurrency, memory management and process scheduling.

Job Responsibility

Develop large scale pipelines for data extraction, model training and model evaluation
Build and optimize onboard ML infrastructure used to deploy models and run inference onboard the vehicle
Collaborate closely with motion planning, systems engineering, and other autonomy groups to define and develop critical ML workflow requirements.

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Motion Planning Engineer

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