Senior Systems Engineer, Diagnostics and System Behavior Analysis

Atoms

$176K — $242K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or related field.
  • 6+ years in systems integration, diagnostics, or hardware and software interface engineering on vehicles.
  • Experience with L4 program or production ADAS.
  • Proven track record of diagnosing complex hardware and software failures.
  • Depth of troubleshooting skills on sensor technologies including cameras, lidar, radar, GNSS, and IMU.

Responsibilities

  • Triage and classify failures by type and route evidence accordingly.
  • Conduct root cause analysis through logs, telemetry, and video evidence.
  • Develop diagnostic tooling for parsing and visualizing log datasets for broader engineering access.
  • Build automated classification frameworks for known failure signatures.
  • Oversee monitoring for data path integrity to ensure quality data logging.
  • Categorize failure severity and identify trends to prioritize engineering resources.
  • Establish and document standards for complete root cause analysis.

Benefits

  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k) plan
  • Equity options
  • Sick time, unlimited flexible time off, and paid holidays
  • Paid parental leave
  • Pre-tax commuter benefit plan
  • Team lunches twice a week
Full Job Description
About the roleWe 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.

What you'll do

  • 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.

What we're looking for
  • 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.
  • Ability to work onsite five days a week in San Francisco, with periodic travel to test sites.

What else you need to know

This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $176,000 - $242,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards.

Benefits Summary (USA Full-Time Exempt Employees):
  • Medical, Dental, Vision, Disability, and Life Insurance
  • Flexible Spending Account / Health Savings Account Options
  • 401(k)
  • Equity
  • Sick Time, Unlimited Flexible Time Off, and Paid Holidays
  • Paid Parental Leave
  • Pre-Tax Commuter Benefit Plan
  • Team lunch in our SoMa office every Tuesday and Thursday

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?

#LI-Onsite

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