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Pronto · 4 months ago

Perception Engineer (Data)

San Francisco, CA

Full-time

Onsite

Entry, Mid Level

2+ years exp

Pronto is a leader in commercializing Autonomous Vehicle technology, focusing on automating haulage operations. The company is seeking a Perception Engineer to enhance their perception stack, ensuring safety and efficiency in autonomous trucks through development and testing of advanced techniques.

Computer Software

Work & Life Balance

H1B Sponsor Likely

Responsibilities

Stress testing entire perception system to find operating limits

Improving camera calibration techniques

Building tooling to iteratively improve our data pipeline through active learning

Creating tooling to extract data from vehicle logs

Testing applications for neural nets on autonomous vehicles

Hyperparameter tuning

Implementing camera / lidar world space to image space transformations

Qualification

PythonPyTorchComputer visionLinuxGitProject portfolioCommunication skillsCollaboration skillsProblem-solving

Required

Proficient with python, git, linux, PyTorch

Familiarity with common computer vision libraries and techniques including camera calibration and camera projections

Able to create and debug software systems: building maintainable code with good diagnostics that scale

Excellent at handling ambiguous or undefined problems

Strong communication and collaboration skills, capable of working effectively in a multidisciplinary team and communicating technical concepts to non-technical stakeholders

Strong portfolio of projects related to perception

Preferred

2+ years professional experience writing software relevant to perception

Company

Pronto

Pronto delivers off-road autonomous haulage systems specifically engineered for a variety of rugged and industrial environments.

Founded in 2018

San Francisco, California, USA

11-50 employees

https://pronto.ai/

H1B Sponsorship

Pronto has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2024 (1)

2020 (1)