Automation Engineer (Compute Software Performance)

Quick Facts

• Role: Automation Engineer focused on compute software performance
• Team mission: Analyze and optimize software and hardware to meet system performance & stability targets

Description

You will build automated instrumentation, benchmarking, and analysis for compute performance (CPU, GPU, latency, memory) and integrate it into the software development and release process. The goal is to catch performance regressions before software reaches the fleet, identify trends and anomalies across releases and hardware platforms, and provide detailed metrics for fast investigations.

You will also partner with teams to triage latency and memory regressions and integrate performance tooling with CI and release management.

Responsibilities

• Automate workflows for performance data storage and analysis (CPU, GPU, latency, memory)
• Build agentic harnesses for efficient triage and iterative self-optimization loops
• Provide dense performance metrics to support release monitoring/gating and agent-driven optimization
• Integrate performance tooling into CI and release management
• Support releases by triaging latency and memory regressions with application teams

Requirements

• 3+ years of professional experience in software development or related fields
• BS in computer science or related field
• Strong knowledge of Python
• Proficiency in C++ and experience in large code bases
• Expertise with continuous integration systems (Buildkite, GitHub Actions, Jenkins, or similar)
• Experience using LLMs and agentic AI to automate engineering workflows
• Good communication and organizational skills; logical problem-solving and strong time/task prioritization

Benefits

• Opportunity to improve compute performance across the robot fleet by enabling early detection of regressions and faster root-cause investigations