Planning & Control Internship/Co-op @ Zoox

INACTIVE

Internship

Planning & Control Internship/Co-op

Zoox

1,001-5,000 employees

Self driving car robotics company

Automotive & Transportation

AI & Machine Learning

$6,500 - $9,500monthly

San Carlos, CA, USA

Required Skills

CUDA

Data Structures & Algorithms

C/C++

Requirements

Currently working towards an M.S., Ph.D. or advanced degree in a relevant engineering program
Good academic standing
Can commit to at least a 12-week internship
At least one previous industry internship, co-op, or project completed in a relevant area
Ability to relocate to the Bay Area, California for the duration of the internship
Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox
Advanced proficiency in C++
Strong analytical and mathematical skills
Experience with motion planning and/or control/decision making under uncertainty
Machine Learning algorithms
GPU/CUDA computing experience
Excited to think about algorithmic edge cases and building a robust, debuggable, and scalable system
Understanding of configuration spaces and a variety of planning techniques (A*, D*, RRTs, etc.)
Experience with pose estimation, SLAM, numerical optimizers, or probabilistic reasoning
Real-world experience with robotic control and sensing systems

Decision-making and motion planning are the primary responsibilities of mobile robots. Taking input from a variety of perception and localization systems, the planner’s job is to figure out where the robot is going and how to get there safely. As an intern on this team, you should be passionate about developing planning architectures and working on motion planning algorithms for dynamic environments. We’re looking for someone who is pursuing an advanced degree and has had experience or exposure to building real-time motion planning/trajectory generation algorithms for robots in uncertain environments.

Our Planning & Controls Team has a number of sub-divisions; candidates will be matched with a team that best fits their skill set and interests.

Requirements

Currently working towards an M.S., Ph.D. or advanced degree in a relevant engineering program.
Good academic standing
Can commit to at least a 12-week internship
At least one previous industry internship, co-op, or project completed in a relevant area
Ability to relocate to the Bay Area, California for the duration of the internship
Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox.

Qualifications

Advanced proficiency in C++
Strong analytical and mathematical skills
Experience with motion planning and/or control/decision making under uncertainty
Machine Learning algorithms
GPU/CUDA computing experience
Excited to think about algorithmic edge cases and building a robust, debuggable, and scalable system
Understanding of configuration spaces and a variety of planning techniques (A*, D*, RRTs, etc.)
Experience with pose estimation, SLAM, numerical optimizers, or probabilistic reasoning
Real-world experience with robotic control and sensing systems

Compensation

The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.

Vaccine Mandate

Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Zoox

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Website

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Zoox is reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. The company is building the infrastructure for self-driving cars.

Company Stage

M&A

Total Funding

$2.3B

Headquarters

Foster City, California

Founded

2014

Growth & Insights

Headcount

6 month growth

↑ 16%

1 year growth

↑ 36%

2 year growth

↑ 85%

Benefits

Health Insurance

Maternity & Paternity Leave

Vacation & Paid Time Off

Sick Days

Free Lunch or Snacks

Employee Assitance Program

INACTIVE