Software Engineer, Computer Vision/Machine Learning

4 Weeks ago • 2 Years +
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About the job

SummaryBy Outscal

Build AR map features for Niantic games. Requires 2+ years of experience, strong coding skills in C++ or Python, cloud computing knowledge, and experience with distributed systems.

Niantic’s mission is to use emerging technology to enrich our experiences as human beings in the physical world. We build products that inspire movement, exploration, and face-to-face social interaction.

Niantic’s Augmented Reality (AR) Mapping team is seeking for a Software Engineer to help build and scale our AR platform pushing the frontiers of cloud computing to build, optimise and render the map of the world! 

You will work as part of a diverse team focusing on experimental innovation at the intersection of machine learning, computer vision, software engineering and augmented reality. We take pride in developing algorithms and systems from concept to large-scale production. We are passionate about discovery and we’re looking for engineers eager to learn and ship products that “inspire people to explore the world together”.

Niantic leads the advancement of AR and other immersive technologies while creating engaging apps for a user base in the billions.

Responsibilities

  • Build key features of Niantic's AR Map to create rich experiences for our games and platforms.
  • Build and design reliable, high-throughput and scalable systems that support Niantic’s mapping technologies.
  • Write high quality code, debug solutions to complex problems that span systems, participate in code reviews, write tests to ensure uptime of live systems.
  • Optimise complexity and time of solutions to make the best use of current technologies in cloud and/or mobile.
  • Work with Niantic’s research teams to invent, evaluate and help productionise solutions to push the boundaries of what can be done today in AR.
  • Collaborate with cross-functional team members and stakeholders, including regular and reliable attendance and participation in meetings.
  • Required in-office 2 days on Tuesday and Thursday.

Qualifications

  • BS, MSc, or PhD in Computer Science or related technical field, or equivalent experience.
  • 2+ years of experience building reliable and scalable software.
  • Proficiency in one of the following languages: modern C++ (17, 20 preferred) and/or Python .
  • Experience designing and developing for distributed computing and large-scale systems in the cloud (e.g., GCP, Kubernetes, Argo, Ray, MapReduce, Spanner, AWS, etc.) and working knowledge of SQL and databases.
  • Knowledge of software engineering standards including automated testing, containerisation, VCS, continuous integration (CI) and MLOps.
  • Ability to work in a fast-paced hybrid 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 asynchronous interactions with others.

Plus If…

  • Experience working with computer vision or machine learning pipelines.
  • Experience with deployment on cloud providers, such as Google Cloud, Azure or AWS.
  • Experience designing for and running deep learning training systems at scale, including multi-server and multi-GPU training, and managing deep learning hardware resources.
  • Experience developing performance and quality metrics or crafting algorithms for specialised hardware architectures (e.g., CUDA, DSP, SIMD, fixed-point arithmetics, GPGPU, etc.).

The total compensation package for this position includes a new hire offer base salary range of £70,200 - £97,000 + 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.

Niantic is a hybrid first company. We believe that in person interaction and collaboration fosters creativity, a sense of community, and is critical to our future success as a company. Our hybrid work schedules allow for a mix of remote and in-office work.

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. #LI-HYBRID

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. 

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (On-Site)

Tokyo, Japan (Hybrid)

California, United States (On-Site)

California, United States (On-Site)

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