Autonomy Software Integrity Intern

Waymo LLC; Mountain View (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model with remote work

On-site meals and snacks

Educational reimbursement

Peer learning and coaching

Volunteer hours

Employee resource groups

Competitive compensation

Job summary

Waymo LLC’s Onboard Software Integrity team is building architectures, tools, and workflows to prevent, identify, and guide fixes for software integrity across Waymo’s autonomous driving systems. We focus on ML model fidelity, nondeterminism in onboard and offboard software, and onboard reliability to maintain high development velocity.

This role involves designing instrumentation to diagnose non-determinism, investigating execution patterns across codebases, and contributing to software health

Qualifications

• Currently pursuing a Master’s or PhD in software engineering or related field.
• Solid foundation in algorithms, data structures, and systems debugging.
• Strong programming skills in C++.
• Experience with statistical data analysis, anomaly detection, or tracing tools.
• Experience with graph execution frameworks.
• Understanding of sources of software non-determinism (e.g., concurrency/race conditions, floating-point determinism).

Responsibilities

• Design and build infrastructure and tooling to diagnose software non-determinism across autonomous driving systems.
• Investigate and resolve non-deterministic execution patterns across Waymo codebases.
• Contribute to ensuring software integrity across onboard systems and ML models.

Skills

C++

Data analysis

Anomaly detection

Tracing tools

Graph execution frameworks

Software non-determinism concepts

Education

Master's or PhD in software engineering

Tools

N/A

Job description

Waymo LLC’s Onboard Software Integrity team is building architectures, tools, and workflows to prevent, identify, and guide fixes for software integrity across Waymo’s autonomous driving systems. We focus on ML model fidelity, nondeterminism in onboard and offboard software, and onboard reliability to maintain high development velocity.

This role involves designing instrumentation to diagnose non-determinism, investigating execution patterns across codebases, and contributing to software health