Senior Software Engineer, Head Tracking, Beam, AI/ML

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance

Retirement Benefits: 401(k) with company match

Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance

Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Mountain View, CA, USA; San Francisco, CA, USA.

Minimum qualifications:

Bachelor’s degree in computer science, or equivalent practical experience.

5 years of experience with software development in one or more programming languages.

3 years of experience leading multi-quarter projects, from design to implementation to landing.

Experience programming in C++ and Python.

Experience building evaluation systems for real-time systems, in areas like 3D tracking, robotics, or Augmented Reality (AR)/Virtual Reality (VR).

Preferred qualifications:

PhD degree or in Computer Vision, Machine Learning, or Computer Graphics or equivalent practical experience.

5 years of experience with data structures and algorithms.

Experience with performance benchmarking, testing infrastructure, and data analysis/visualization tools.

Experience with machine learning frameworks and evaluating ML models, including data pipelines, training, and deployment.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Beam is a true-to-life new communication technology from Google that allows people to feel like they’re having real face-to-face conversations, no matter the distance. Powered by realistic state-of-the-art 3D imaging and spatial audio and integrated with today’s leading remote video platforms, Google Beam enables you to be immersed in the moment, together. As a part of the Google Beam team, you'll work with incredible teammates across all major functions in a fast-paced product-oriented environment. Your contributions will have an impact on the future of communications with Google products. You will apply technology to solve that really important problem that we often want to be together and we can’t.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Define, design, and own the end-to-end strategy and roadmap for evaluating Beam head tracking performance and robustness.

Lead the development and maintenance of the evaluation infrastructure, including systems for data recording, replay, metrics computation, dashboards, and automated alerting.

Collaborate closely with the team to provide feedback, guide algorithm improvements, and validate changes.

Design and implement testing scenarios, including synthetic data generation and real-world data collection, to cover use cases.

Work effectively with cross-functional partners, including Product Managers, UX Researchers, and other Engineering teams.