Staff Software Engineer, ML Systems & Data Infra

Waymo LLC; Mountain View (CA); Hybrid; USD 295,000 - 310,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentives

Generous benefits package

Job summary

Waymo LLC is seeking a Senior Software Engineer to advance the Waymo Driver platform. You will design and scale backend systems, improve deployment efficiency, and help push the frontier of autonomous driving technologies.

The role requires deep expertise in C++, distributed data processing, and ML/robotics engineering, with 5–7+ years of relevant experience. Hybrid work may be available, and compensation includes a base salary, bonus, and equity.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field with 7 years of experience
• Alternatively, Master’s degree with 5 years of experience
• 5 years of experience in C++ programming
• 5 years of experience in distributed system design
• 5 years of experience in large-scale data pipelines
• 5 years of experience in distributed data processing frameworks
• Experience in robotics or ML engineering

Responsibilities

• Lead cross-organizational efforts to enhance system efficiency, deployment speed, and maintainability.
• Improve developer experience and system visibility by streamlining infrastructure workflows
• Optimize model serving infrastructure to maximize the perception system's model performance.
• Develop and scale robust infrastructure for large-scale data processing, extraction, and evaluation.
• Support expansive machine learning development, including data mining, debugging, and visualization tools.
• Contribute to systems development by enhancing testing, performance analysis, and deployment pipelines.

Skills

C++

Distributed systems

Data pipelines

Distributed processing

Robotics engineering

Education

Bachelor's degree in CS/CE

Master's degree in CS/CE

Job description

Waymo LLC is seeking a Senior Software Engineer to advance the Waymo Driver platform. You will design and scale backend systems, improve deployment efficiency, and help push the frontier of autonomous driving technologies.

The role requires deep expertise in C++, distributed data processing, and ML/robotics engineering, with 5–7+ years of relevant experience. Hybrid work may be available, and compensation includes a base salary, bonus, and equity.