Staff Computer Vision Engineer, Edge Compute

1 Month ago • 7 Years + • Full Stack Development

About the job

Job Description

Niantic's AR Web / 8th Wall Team is seeking a Computer Vision Software Engineer with a focus on edge compute. You will architect and implement computer vision pipelines that run on edge devices, build runtimes for iOS, Android, and WASM, and build APIs for integration into existing systems and products. You will collaborate with web, design, and product teams to ensure alignment between product goals and delivered features. You will also be responsible for code reviews, unit testing, and troubleshooting. You must have a BS, MS, or PhD in Computer Science or a related field, minimum 7 years of experience developing Computer Vision applications in C++, proficiency in JavaScript/Typescript, WebAssembly integration via C++, iOS and Android native ecosystems, Neural Network training and inference, and the ability to work in a fast-paced environment. Plus If...Proficiency in Bazel build tools, Proficiency in HMD compute environments.
Must have:
  • BS, MS, or PhD in Computer Science
  • Minimum 7 years of working experience
  • Proficiency in C++
  • Proficiency in JavaScript / Typescript
  • Proficiency in WebAssembly integration via C++
  • Proficiency in iOS and Android native ecosystems
  • Proficiency in Neural Network training and inferences
  • Ability to work in a fast-paced environment
Good to have:
  • Proficiency in Bazel build tools
  • Proficiency in HMD compute environments
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Niantic’s AR Web / 8th Wall Team is seeking an adventurous Computer Vision Software Engineer with a focus on edge compute. We seek engineers with solid track record working on hard computer vision technologies running at edge on mobile devices in both browser and native. The ideal candidate loves to jump into the unknown, clarify ambiguities, quickly learn from failures, and break down vague ideas into concrete tasks.

Responsibilities

  • Architect and implement computer vision pipelines that run completely on edge devices and fit extremely tight performance bounds.
  • Build runtimes that span iOS, Android, WASM to perform both training and inferences of neural networks at edge.
  • Build API that multiplex into these runtimes, so they can be integrated into our existing systems and products.
  • Collaborate between web, design, and product teams to ensure the goals of the product are aligned with the delivered feature or service.
  • Participate in code reviews, write unit tests, and conduct troubleshooting to ensure correctness of the API implementation.
  • Collaborate with cross-functional team members and stakeholders to cultivate strong working relationships with project team members, including regular and reliable attendance and participation in meetings.
  • Required in-office 2 days a week in our San Francisco office. One of the days has to be Wednesdays.

Qualifications

  • BS, MS, or PhD in Computer Science, or a related technical field.
  • Minimum 7 years of working experience developing Computer Vision applications in C++.
  • Proficiency in JavaScript / Typescript.
  • Proficiency in WebAssembly integration via C++.
  • Proficiency in iOS and Android native ecosystems.
  • Proficiency in Neural Network training and inferences using
  • Ability to work in a fast-paced environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice.
  • Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including synchronous interactions with others.

Plus If...

  • Proficiency in Bazel build tools.
  • Proficiency in HMD compute environments.

The total compensation package for this position includes a new hire offer base salary range of $243,900.00 - $271,000.00 + bonus + equity + benefits.

Individual pay within this salary range is determined by work location and additional factors, including assessed job-related skills, experience, and relevant education or training. Your recruiter can answer any questions about new hire total compensation during the hiring process. An overview of benefit offerings for your location can be found on the careers page.

Join the Niantic team!

Niantic's global-scale augmented reality platform and digital map powers spatial computing experiences in the real world. Incubated out of the Maps team at Google, Niantic first created Ingress and then Pokémon GO, a cultural phenomenon and hit game played by tens of millions of people each month. Niantic’s Lightship platform, which powers Pokémon GO, also supports the company's other games including Pikmin Bloom, Peridot and Monster Hunter Now. Developers use Niantic’s platform to build their own AR applications and experiences, either with the Lightship Platform or directly through the web with 8th Wall.

We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.

We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Palo Alto, Bellevue, Kansas, London, Tokyo, Hamburg, Hyderabad, and Zurich.

View Full Job Description
$243.9K - $271.0K/yr (Outscal est.)
$257.4K/yr avg.
San Francisco, California, United States

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About The Company

Niantic inspires people to explore the world, together. Our mission is to use emerging augmented reality (AR) technology to enrich our experiences as human beings in the physical world. Originally formed at Google in 2011, we are now an independent company with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. We have offices located in San Francisco, Sunnyvale, Seattle, Lawrence, Los Angeles, Tokyo, London, Hamburg, and Zurich. 

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San Francisco, California, United States (Hybrid)

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Sunnyvale, California, United States (Hybrid)

San Francisco, California, United States (Hybrid)

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London, England, United Kingdom (Hybrid)

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