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About the Role

We are seeking a Senior Systems Engineer to own diagnostics and failure analysis across our development fleet. You will take a failure from a log to an assigned root cause, owning the triage classification, the severity model, and the diagnostic tooling. The role spans multiple vehicle platforms and requires regular time in the garage and around vehicles.

Responsibilities

Classify failures as software, firmware, hardware, data path, or system-level regressions, and route them with evidence.
Investigate novel failures using logs, telemetry, bus traces, and video, and establish the root cause.
Build parsing, correlation, and visualization tools to make log datasets tractable for engineers.
Develop frameworks to automatically detect known failure signatures.
Own monitoring for the logging path, including dropped frames, timestamp drift, and bandwidth/storage limits.
Categorize severity consistently and identify failure clusters to set engineering priority.
Set the standard for root cause analysis documentation and author troubleshooting guides.

Requirements

Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field.
6+ years in systems integration, diagnostics, or hardware and software interface engineering on vehicles.
L4 program or production ADAS experience.
Proven track record of diagnosing failures spanning hardware and software.
Ability to correlate hardware symptoms and video evidence with telemetry and bus data into a concrete timeline.
Sensor-level troubleshooting depth on cameras, lidar, radar, GNSS and IMU, including timing failure modes.
Strong working knowledge of vehicle networks and diagnostics, including CAN, CAN FD, Automotive Ethernet, and DTCs.
Proficiency in Python and command line log analysis for building production tools.
Experience building automated triage or anomaly detection over fleet data.
Experience with monitoring and observability platforms and log management at fleet scale.
Working experience with cloud storage and databases for telemetry.
Experience with a data collection or logging fleet, particularly diagnosing data path problems at volume.

Skills

Python
CAN
CAN FD
Automotive Ethernet
DTCs
Log analysis
Automated triage
Anomaly detection
Monitoring
Observability
Log management
Cloud storage
SQL
Time series databases
NoSQL
Data path diagnostics

Location

San Francisco

Work Type

Onsite

Experience Level

Senior
6+ years

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

$176,000 - $242,000 per year

Benefits

Medical, Dental, Vision, Disability, and Life Insurance
Flexible Spending Account / Health Savings Account Options
401(k)
Equity
Sick Time
Unlimited Flexible Time Off
Paid Holidays
Paid Parental Leave
Pre-Tax Commuter Benefit Plan
Team lunch

About the Company

Atoms is building Physical AI— real-world robots for industries like food, mining, and transport.
Our systems are designed to understand, predict, and control the real world with precision.
We integrate hardware, software, AI, operations, manufacturing, and real estate.
We deploy, operate, learn from, and improve robots in real environments at scale.
We believe the next great technology companies will transform physical systems.