Automation Engineer - Compute Software Performance

Zoox is hiring an Automation Engineer - Compute Software Performance in Foster City, United States. It pays $196k-$242k a year and Level rates it ; you can apply on Zoox.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Databricks.
Level classifies it as a mid-level role.
Level lists 234 other open roles at Zoox.
The role was posted in the last few days.

AI in this role

Databricks

Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands both compute hardware architecture as well as the algorithms and middleware that run on it. Your contributions will be instrumental in finding & detecting performance-related trends and anomalies across the robot fleet.

The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet expected system performance & stability targets.

As an automation engineer within the Software Performance team, you will build automated instrumentation, benchmarking and analysis for compute performance (CPU, GPU, latency and memory) into the software development and release process. Your work will catch performance regressions before software reaches the fleet, identify trends and anomalies across releases and hardware platforms, and put detailed performance data at the fingertips of performance experts for quick and efficient investigations.

In this role, you will:

Automate common workflows & processes for performance data storage and analysis (CPU, GPU, latency, memory, etc)
Build agentic harness to support efficient triage & investigations of performance issues, iterative loops for self-optimizations.
Make dense performance metrics accessible to the software organization for use in release monitoring/gating as well as agent driven optimization loops.
Work cross-functionally to ensure performance tooling is integrated with Zoox continuous integration and release management processes, and support releases by triaging latency and memory regressions with application teams.

Qualifications:

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

Bonus Qualifications

Proficiency with Git and Bazel
Experience with software and hardware benchmarking and Hardware-in-the-Loop (HIL) systems
Savvy with efficient SQL queries and data platforms such as Databricks, Looker, and ETL pipelines

About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

How we rate this

Automation Engineer - Compute Software Performance at Zoox rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.