Senior Systems Engineer, Diagnostics and System Behavior Analysis
San Francisco
full time
On Site
senior
$176k–$242k
H1B: no
Cssmerge Senior Systems Engineer at Atoms responsible for diagnostics and failure analysis across multiple vehicle platforms. Owns triage classification, root cause analysis, and diagnostic tooling.
Responsibilities
We are seeking a Senior Systems Engineer to own diagnostics and failure analysis across our development fleet. In this role, you will take a failure from a log to an assigned root cause, owning the triage classification, the severity model, and the diagnostic tooling that determines how quickly we know what failed. You will build the diagnostic coverage and automated classification that turns failure analysis from an engineering activity into a process that runs such that only new failures reach a person. The role spans multiple vehicle platforms with different hardware, compute, and software, and requires regular time in the garage and around vehicles.
Triage - Classify failures as software, firmware, hardware, data path, or system-level regressions, and route them with evidence.
Root cause analysis. Investigate novel failures using logs, telemetry, bus traces, and video, and establish the root cause.
Diagnostic tooling. Build the parsing, correlation, and visualization that make large log datasets tractable for engineers outside this role.
Automated classification. Build the frameworks that detect known failure signatures automatically, so recurrence is caught by software.
Data path integrity. Own monitoring for the logging path itself: dropped frames, timestamp drift, bandwidth and storage limits, and the alerting that catches a vehicle producing unusable data the same day.
Severity and trend analysis. Categorize severity consistently and identify the failure clusters that should set engineering priority.
Documentation. Set the standard for what a complete root cause analysis looks like here, and author the troubleshooting guides.
Qualification
6+ years in systems integration
Required
"Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field required.
6+ years in systems integration, diagnostics, or hardware and software interface engineering on vehicles.
L4 program or production ADAS experience.
A track record of diagnosing failures that spanned hardware and software, with specific examples where you established the root cause.
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, and how failures present at each layer.
Python and command line log analysis at the level of building production tools
Automated triage or anomaly detection built over fleet data.
Experience with monitoring and observability platforms and with log management at fleet scale.
Working experience with cloud storage and databases for telemetry: object storage, SQL, and time series or NoSQL stores.
Experience with a data collection or logging fleet, particularly diagnosing data path problems at volume.
