SIM Triage Operator

DeWinter Group; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

DeWinter Group seeks a SIM Triage Operator for an onsite role in California to analyze, troubleshoot, and resolve issues across simulation and real-world autonomous vehicle systems. You will contribute to safety and reliability by applying triage standards and developing automation scripts.

The role requires a bachelor’s degree in a STEM field and experience with logs, sensor data, and multimedia, plus proficiency in Python and SQL, and familiarity with Jira and log/replay tools.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related STEM field.
• Experience with autonomous vehicle systems, simulation environments, or related tech.
• Proven ability to analyze logs, sensor data, and multimedia to troubleshoot issues.

Responsibilities

• Analyze simulation and on-road data (logs, sensor outputs, metadata, video) to identify and prioritize issues.
• Correlate on-road incidents with simulation scenarios for reproduction and regression testing.
• Apply triage standards to distinguish tooling issues from vehicle behavior anomalies.
• Support tooling workflows using dashboards, log viewers, replay tools, and issue-tracking platforms.
• Develop scripts for automation of log queries, data extraction, and workflow processes; maintain documentation and dashboards.

Skills

Python

SQL

Log analysis

Sensor data

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Jira

Log viewers

Replay tools

Issue tracking

Job description

SIM Triage Operator

Join a dynamic and critical team responsible for ensuring the safety and reliability of autonomous vehicle systems. As a SIM Triage Operator, you will play a vital role in analyzing, troubleshooting, and resolving issues across both simulation and real-world domains. This onsite position offers the opportunity to work at the forefront of autonomous vehicle technology, utilizing your analytical expertise and technical skills to impact future mobility.

Key Responsibilities:

• Analyze simulation and on-road data, including logs, sensor outputs, metadata, and video, to identify and prioritize issues.
• Correlate on-road incidents with simulation scenarios to facilitate reproduction and regression testing.
• Apply established triage standards to distinguish between tooling-related issues and vehicle behavior anomalies.
• Support tooling workflows using dashboards, log viewers, replay tools, and issue-tracking platforms.
• Develop scripts for automation of log queries, data extraction, and workflow processes; maintain documentation and dashboards.

Required Skills:

• Bachelor’s degree in Computer Science, Engineering, or a related STEM field.
• Experience working with autonomous vehicle systems, simulation environments, or related technologies.
• Proven ability to analyze logs, sensor data, and multimedia to troubleshoot issues.
• Proficiency in scripting languages such as Python and SQL.
• Familiarity with Jira, log viewers, replay tools, and issue-tracking platforms.
• Strong attention to detail, organizational skills, and ability to follow triage standards accurately.

Nice to Have Skills:

• Experience developing automation scripts and maintaining dashboards.
• Knowledge of data analytics and workflow optimization tools.
• Background supporting AI-assisted triage workflows and tooling.

Preferred Education and Experience:

• Bachelor’s degree in Computer Science, Engineering, or a STEM discipline.
• Prior experience in autonomous vehicle systems, simulation data analysis, or related fields.
• Experience in a similar role involving software troubleshooting and data analysis.

Other Requirements:

• This role is strictly onsite at the service location.
• Candidates must be aware that this is a contingent/contract position, not a direct employment role.
• The position requires working 40 hours per week for an initial 6-month contract, with possible extension.

Bring your technical expertise and proactive mindset to help shape the future of autonomous transportation through ground-breaking troubleshooting and system analysis.