Research Engineer, PlusAI
$145-185k
More information about location
Office located in Santa Clara, CA
AI-first global autonomous trucking technology
Job no longer available
AI-first global autonomous trucking technology
201-500 employees
Job no longer available
$145-185k
More information about location
Office located in Santa Clara, CA
201-500 employees
Company mission
To build driving intelligence to power a safer and greener world.
Role
Who you are
- Master’s degree in Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, or related field
- Must have experience with the following (Experience may be acquired during graduate studies/research)
- Conducting Research
- C++ and Python
- Robotics
- Machine Learning
- Computer Vision
- Deep Learning
- Robot Operating System (ROS)
- Deep Reinforcement Learning
- Must have good oral and written communication skills
What the job involves
- Provide hardware and software support on PlusAI’s full-stack, self-driving technology for large-scale, autonomous commercial fleets
- Perform research and contribute to how the PlusAI autonomous system achieves higher levels of autonomy through machine learning engineering
- Responsible for supporting the company in designing and building end-to-end systems, algorithms, and software for constructing autonomous vehicles
- Research and construct machine learning or deep learning-based models for enabling self-driving vehicles to perceive and understand the surrounding environment
- Utilize knowledge of commonly used robotics, computer vision, machine learning, deep learning frameworks and libraries (robot operating system (ROS), Tensorflow, pyTorch) and software development tools to collaborate with teams of different functionalities and integrate various components (perception, planning, prediction, control, simulation, and data infrastructure) into a running system, using good oral and written communication skills
- Responsible for the calibration of all sensors used in autonomous vehicles, including cameras, radars, and LiDARs (light detection and ranging)
- Design and develop software infrastructure to obtain all sensor calibrations during run-time
- Review and analyze complex system requirements, and translate detailed designs into various computer programming languages, such as C++ and Python
- Run continuous checks and tests offline to verify tracking algorithms are performing up to speed with the latest sensor calibrations
- Perform extensive road testing of the run-time calibration to ensure that all software components are running as expected
- Ensure sensors that are replaced and/or moved have adequate calibrations calculated, and verify the reliability and correctness of calibration algorithms on the truck
- Review and identify scenarios where the performance drops and false positives occur, and work on algorithms to eliminate them, using knowledge of deep reinforcement learning
- Maintain and improve existing code base, and review codes and algorithms periodically to enhance productivity
Our take
With self-driving vehicles becoming more common, the tuck shipping industry stands to benefit from autonomous driving technology, particularly given the current shortage of drivers in the US.
PlusAI provides self-driving technology for trucks to make fleets safer, more fuel-efficient, and sustainable. It uses machine learning to analyze routes and scenarios, providing real-time data to trucks equipped with the PlusDrive system. Unlike competitors focusing on urban transportation, PlusAI is tackling long-distance logistics, though regulatory challenges in the US remain a concern.
Currently, Plus offers a system that enhances driver safety and efficiency, while continuing to develop fully autonomous solutions. Following a successful pilot with IVECO, PlusAI is testing its automated trucks on German roads and plans to expand into other European markets, like Spain, very soon.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Mar 2021
$220m
LATE VC
Feb 2021
$200m
LATE VC
Total funding: $821.7m
Company benefits
- Unlimited PTO: Unlimited paid time off on top of company holidays to recharge and enjoy as needed
- Flexible working: Flexibile work arrangements and technology to help manage life's demands at the office and remote
- Health benefits: Tiered options in medical, dental, and vision insurance to fit your unique needs
- Future building: Equity, 401k and FSA options for all eligible employees to help build for your future
- Professional development: Company-sponsored professional development opportunities such as conferences, training, and workshops
- Catered lunches: Daily catered lunches at both of our Santa Clara and Fremont offices
Company HQ
Santa Clara, CA
Leadership
David Liu
(Co-Founder & CEO)They hold a PhD in Electrical Engineering from Stanford and began their career as an Engineer at Silicon Graphics. Later, they worked as a Consultant for McKinsey & Co. and went on to serve as the Founder and CTO of both InformLink and RMG Networks. They also have experience as the Founder and CEO of RedAtoms.
Shawn Kerrigan
(Co-Founder & COO)They hold a Master's and PhD in Engineering from Stanford. They served as an Engagement Manager at McKinsey & Co. and later became a Senior Investment Associate at Bridgewater Associates. They also co-founded Locus Energy where they served as the CTO for 8 years.
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