Perception Software Engineering Intern, Glydways

Salary not provided

Python

C++

PyTorch

Semantic

Remote from US

Autonomous electric transportation

Be an early applicant

Autonomous electric transportation

21-100 employees

B2BSustainabilityTransportMobilityElectric Vehicles

Be an early applicant

Salary not provided

Python

C++

PyTorch

Semantic

Remote from US

21-100 employees

B2BSustainabilityTransportMobilityElectric Vehicles

Company mission

To provide a 24/7 mobility service solution that is environmentally net-negative in terms of greenhouse gas production (GHG), and, inherently profitable.

Job

Company

Role

Who you are

Masters / PhD graduating within 12 months of internship completion
Strong programming skills (Modern C++ and/or Python)
Familiarity with deep learning frameworks such as Pytorch
Excellent communication and interpersonal skills
Strong problem-solving and research skills
Candidates with experience in early fusion models and/or semantic segmentation models are preferred

What the job involves

We are looking for a highly motivated research intern with a strong background in machine learning to join our ML Perception team and apply your expertise to real-world multi agent autonomous driving and infrastructure challenges to help Glydcars see
In this role, you will focus on multimodal efficient deep learning for safety critical systems with built in redundancy and robustness
Collaborating with a multidisciplinary team, you will develop innovative models and algorithms to enhance our perception stack
Implement state-of-the-art onboard multimodal multitask ML perception models, and finetune them to improve performance
Develop custom adaptations (such as layers, loss functions, etc.) to improve performance on our datasetResearch and development in various areas, including multiview sensor fusion for redundancy, robustness, and safety critical operation; and scene understanding with a focus on anomaly detection
Design and perform experiments, and share and present findings, potentially as a peer-reviewed publication
Work with multimodal (camera, lidar, radar) datasets from a multiagent autonomous system

Our take

Although more than 4000 cities across the globe meet the threshold for necessary urban mass transit systems, under 5% of them have the capacity to make it a reality. Glydways' autonomous electricity-powered transport systems could provide a cost-effective and environmentally friendly alternative for the 95% without rail or transport systems.

Glydways' Personal Rapid Transit systems consist of battery-operated electric vehicles called Glydcars that travel on dedicated rights of way. These “roads” can be built above ground level or through tunnels, and can integrate with other forms of public transport already existing within the city or town.

Whilst the adding of Glydcars infrastructure brings up questions of extra cost, the company’s mass transit solution has nonetheless attracted positive attention, as well as serious investment from the likes of Bill Gates' venture fund Gates Frontier. This round of funding follows news that the Glydcar has been chosen as part of two Californian transport developments, with only time able to reveal how successful the system will be.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

May 2024

$20m

SERIES B

Oct 2023

$56m

SERIES B

Total funding: $76m

Company HQ

Downtown, South San Francisco, CA

Leadership

Mark Seeger

(CSO)

Previously Director of Digital Innovation at Ogilvy. Founded M Jeans and GreenIdea, and was a Product Design Engineer at Apple.

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