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Senior Software Engineer, Media Tech

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Volta Charging

2021-12-03 08:50:32

Job location San Francisco, California, United States

Job type: fulltime

Job industry: Advert / Media / Entertainment

Job description

At Volta, we're on a mission to accelerate the adoption of the electric vehicle. Volta's award-winning charging stations benefit brands, consumers, and real-estate locations by providing valuable advertising space to businesses and convenient charging to drivers. Strategically located in places consumers already visit, Volta's chargers are currently the most used electric vehicle charging stations in the United States.

The Stations Team:

Volta's charging stations are more than an EV charger. They include media displays, driver interfaces, environmental sensors, and a suite of intelligent algorithms to provide rich, interactive experiences for drivers and passers-by. The station software team develops and integrates the software that drives these experiences. This role focuses on utilizing sensor data and compute resources to generate custom user experiences.

Reports To: Senior Manager, Software Engineering

Location: San Francisco or remote

Responsibilities

    • You'll learn the Volta software ecosystem, focusing on the software that runs on our stations.
    • You'll make first feature additions that are code-reviewed and accepted.
    • You'll meet with media tech stakeholders to understand the business requirements and product roadmap.
    • You'll generate a roadmap for the next 12 months with projects surrounding vision and other sensors, cloud-based environmental inputs, ML algorithms, and performance assessment
    • Deploy one or more completed and QA-approved features onto production stations.
    • Responsible for managing the engineering process from requirements refinement alongside the product team through to supporting the QA team in testing the feature in realistic conditions


Qualifications
    • 5+ years relevant working experienceExperience with Linux, docker
    • Experience with C/C++
    • Experience with ML algorithms
    • Experience with system performance measurement
    • Experience with GPU-accelerated ML
    • Experience with JavaScript/TypeScript
    • Experience with vision and other sensing hardware


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