Calibration, Localization, and Mapping Internship/Co-op

15 Hours ago • Upto 1 Years

About the job

SummaryBy Outscal

Zoox vehicles include 18 cameras, 8 Lidars, 10 Radars, and 5 IMUs whose data is fused to enable  localization, mapping, and perception. The Zoox’s CLAMs team develops state-of-the art algorithms to ensure accurate sensor calibration, optimize with respect to sensor data to develop high-accuracy maps of the road network and its surroundings, and maintain an accurate real-time vehicle pose. These capabilities are foundational to enabling reliable autonomy in complex environments.

As part of the team, you will collaborate to define, analyze, implement and evaluate algorithms to solve problems in this domain. There is a strong need for algorithms that are verifiably robust while operating on diverse data across a variety of environments and conditions.

We are looking for passionate interns who are interested in gaining industry experience and diving into exciting autonomy challenges using the vast quantity of data at hand.

Technical Qualifications & Language Requirements

    • Strong mathematical and physical reasoning skills
    • Strong experience with optimization in estimation applications such as bundle adjustment, GTSAM, SLAM, probabilistic filtering, 3D perception
    • Excellent knowledge of C++, and Python or Matlab
    • Experience with software architecture and algorithm design
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.

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.


Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

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.
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.

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.


Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

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.

About The Company

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

California, United States (On-Site)

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