Niantic

You have experience with DevOps practices, continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure as code (IaC) tools (e.g., Terraform, Ansible) is a plus.. Niantic's global-scale augmented reality platform and digital map powers spatial computing experiences in the real world.. 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.. Our hybrid work schedules allow for a mix of remote and in-office work.. We have growing offices located in San Francisco, Sunnyvale, Palo Alto, Bellevue, Kansas, London, Tokyo, Hamburg, Hyderabad, and Zurich.

software engineer

Niantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale models. Your work will directly help grow the features in our games as well as the capabilities of our technology platforms. Niantic Engineering leads the advancement of AR and other immersive technologies while creating engaging apps for a user base in the billions. Responsibilities Implement and maintain scalable infrastructure solutions to support the deployment of generative AI models. Develop automation tools and processes to streamline model evaluation and deployment workflows. Optimize infrastructure performance to ensure efficient resource utilization and minimize latency in model inference. Implement and maintain monitoring and alerting systems to ensure the reliability and availability of AI infrastructure components. Collaborate with cross-functional teams to understand requirements and design infrastructure solutions that meet business objectives. Stay up-to-date with the latest advancements in AI infrastructure technologies and best practices, and evaluate their applicability to the organization's needs. Participate in code reviews, design discussions, and architecture planning sessions to maintain high-quality standards in software development practices. Troubleshoot and resolve issues related to AI infrastructure, working closely with stakeholders to identify root causes and implement solutions. 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 Wednesday. Qualifications You have at least a Bachelor’s degree in Computer Science, Engineering, or a related field. 4+ years of experience in software development, and with data structures/algorithms. 2+ years of experience in designing, building, and optimizing distributed systems or cloud-based infrastructure. You have experience developing and maintaining machine learning platforms. Strong proficiency in programming languages such as Python, Java, or Go, with experience in developing production-quality code. 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 synchronous interactions with others. Plus If... You have experience with machine learning/AI in a cloud native environment. You have experience in Generative AI infrastructure. You have experience with DevOps practices, continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure as code (IaC) tools (e.g., Terraform, Ansible) is a plus. You have strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders. The total compensation package for this position includes a new hire offer base salary range of $174,000 - $194,000 + 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 #J-18808-Ljbffr

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