Senior Real-Time 3D Tracking & ML Engineer

Google; San Francisco (CA); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) with company match

Paid Time Off

Sick Time

Maternity Leave

Baby Bonding Leave

Paid Holidays

Job summary

Google in San Francisco is seeking a senior software leader to define and own the end-to-end strategy for evaluating Beam head tracking performance and robustness. You will help build evaluation infrastructure, data recording pipelines, metrics, and alerting systems to flag issues early.

You will collaborate across teams to ensure scalable, real-time performance testing for AR/VR/3D tracking workloads, applying expertise in C++, Python, and machine learning to improve reliability.

Qualifications

• Bachelor's degree in Computer Science.
• 5+ years of software development experience.
• 3 years of project leadership.
• Proficiency in C++ and Python.
• Experience with real-time systems like 3D tracking or AR/VR.

Responsibilities

• Define and own the end-to-end strategy for evaluating Beam head tracking performance and robustness.
• Lead the development of evaluation infrastructure, including data recording, metrics computation, and automated alerting systems.

Skills

C++

Python

3D Tracking

Robotics

Augmented Reality

Virtual Reality

Computer Vision

Machine Learning

Computer Graphics

Data Structures

Algorithms

Performance Benchmarking

Data Analysis

Data Visualization

ML Model Evaluation

System Design

Education

Bachelor's degree in Computer Science

Job description

Google in San Francisco is seeking a senior software leader to define and own the end-to-end strategy for evaluating Beam head tracking performance and robustness. You will help build evaluation infrastructure, data recording pipelines, metrics, and alerting systems to flag issues early.

You will collaborate across teams to ensure scalable, real-time performance testing for AR/VR/3D tracking workloads, applying expertise in C++, Python, and machine learning to improve reliability.