Intrinsic

Applied Research Engineer, Motion Planning

United States

200k - 230k USD

On-site

Full Time

#Robotics

#Artificial Intelligence

#Engineering

#Planning

#Machine Learning

#C++

#Python

#Jax

#Reinforcement Learning

Intrinsic is looking for a Applied Research Engineer, Motion Planning

Full Time Mid-Level On-site United States Robotics Artificial Intelligence Engineering Planning Machine Learning C++Python Jax Reinforcement Learning English

200k - 230k USD per year

Intrinsic is Alphabet’s initiative dedicated to transforming the industrial robotics landscape by placing software and data at the heart of the field. We are a multidisciplinary team of engineers and researchers working to make robotics more intelligent and accessible for a wide range of businesses and developers.

Responsibilities

Develop innovative motion planning strategies for single and multi-robot systems, building upon existing prototypes.
Apply advancements in machine learning, including transformer models and graph nets, to create data-driven planning systems.
Write and implement high-performance algorithms using Python, C++, and Jax.
Collaborate with industrial partners to translate complex challenges into reliable, real-world robotic solutions.
Analyze recent research publications and integrate promising methodologies into our development pipeline.

Must-haves

A Master’s degree in Robotics, Computer Science, or a related technical field.
At least 2 years of professional experience in machine learning, classical motion planning, or robot motion planning.
Proficiency in C++ and Python, with a strong preference for Jax experience.
Practical experience working with physical simulation environments like MuJoCo, IsaacSim, Gazebo, or Bullet.
A proven research background, including at least one publication in a peer-reviewed academic journal or conference.
Fluency in English.

Nice-to-haves

A PhD in Computer Science, Robotics, or a similar technical discipline.
Four or more years of applied experience specifically focused on machine learning for robot motion planning.
Demonstrated skill in designing and implementing large-scale, complex machine learning systems that utilize highly parallelized algorithms and significant data volumes.

Benefits

The salary range for this full-time, on-site position is $200,000 to $230,000 USD.

Eligibility for performance-based bonuses.
Equity participation.
Comprehensive company benefits package.

Intrinsic

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Applied Research Engineer, Motion Planning at Intrinsic