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About Zoox

Revolutionizing transportation with autonomous vehicle technology

🏢 Tech, Automotive👥 1001+ employees📅 Founded 2014📍 Vintage Park, Foster City, CA💰 $1.2b⭐ 3.9

B2CArtificial IntelligenceCarsTransportElectric VehiclesAutomation

Key Highlights

Raised $1.2 billion in Series B funding
Headquartered in Foster City, CA with 1001+ employees
Innovative vehicle design with independent wheels and no front/back
Part of a $2 trillion industry projected by 2030

Zoox, headquartered in Foster City, CA, is pioneering autonomous vehicle technology with a unique driverless ecosystem. The company has raised $1.2 billion in Series B funding and employs over 1,000 people. Its innovative vehicle design, revealed in December 2020, features independent wheels and a b...

🎁 Benefits

Zoox offers work-from-home opportunities, comprehensive health insurance, and generous paid parental leave. Employees enjoy unlimited flexible paid ti...

🌟 Culture

At Zoox, the culture is centered around innovation in autonomous transportation, with a focus on safety and enjoyment. The company promotes a collabor...

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Software Engineer - C++ GPU Performance

Zoox • Foster City, CA

Posted 1 month ago🏛️ On-Site Mid-Level Software engineering 📍 Foster city💰 USD168,000 - USD239,000 / year

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Skills & Technologies

C++Gpu Computer vision Deep learning

Job Description

Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.

The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.

As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation.

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