Software Engineer III, Google Beam

Google Mountain View, CA, USA;
Seattle, WA, USA

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

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems, or networks, or experience with compute technologies, storage or hardware architecture.

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience with hardware/software systems and Hardware in the loop test infrastructure.

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.

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.

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.

• Be part of the Beam Software (SW) Platform Infrastructure team, focusing on real-time Machine Learning (ML)-based 3D human capture and rendering for live 3D experiences without headsets.
• Take on a Beam platform infrastructure Software development role, providing a scalable Software regression framework used by the Beam Software developer community for the roll-out of our commercial product fleet in Quarter 4 (Q4) 2026.
• Act as a member of the team that builds an automated Software Release test infrastructure for Software testing in our Beam devices, utilizing a mix of Rapid, Layered Universal Continuous Integration (LUCI), and Omnilab.
• Work on a Hardware-in-the-Loop Test (HILT) framework integrated into the Beam Software stack and Hardware (HW) platforms.
• Help land our HILT testing initiatives, with tie-ins to our Software Release process for innovative future teleportation platforms.

The US base salary range for this full‑time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your…