System Triage Engineer Intern

About the role

Torc Robotics is seeking an intern to join our System Triage team, a critical function within our autonomous vehicle development lifecycle. In this capacity, you will own the analysis of performance data sourced directly from public road operations and controlled closed-course testing scenarios. The position grants you the responsibility of contributing directly to the advancement and refinement of our autonomous vehicle technology through methodical investigation. You will work in close collaboration with multiple internal teams, gaining significant hands-on experience in system triaging, data analysis, and problem resolution. This role is designed to immerse you in the core challenges of identifying and resolving system-level issues in a real-world engineering environment. You will be expected to drive ownership of specific analysis tasks from data collection through to reporting conclusions. The position provides a unique opportunity to understand the intersection of software, hardware, and safety in autonomous systems. Your work will directly inform the development cycles and maturity of the software that powers our vehicles.

Key facts

What you'll do

• Conduct behavioral assessments of autonomous vehicle operations by parsing and interpreting data streams from public roads and closed-course testing.
• Utilize simulation tools to identify edge cases and subsequently enhance datasets to improve the quality and robustness of machine learning model training.
• Perform counterfactual simulations of selected real-world events, collaborating extensively with Safety, System Verification and Validation, and Machine Learning teams to address and mitigate unsafe behaviors.
• Engage in comprehensive data triage, tracking, and reporting of metrics related to system anomalies and test escapes to ensure traceability.
• Use 3D visualization tools to conduct in-depth analysis of sensor data, uncovering latent software and hardware issues that may not be apparent in raw logs.
• Collaborate on the development of new tools focused on efficient triage, analysis workflows, and reporting to elevate software maturity insights across the organization.
• Maintain and optimize defect management processes, ensuring the accuracy and integrity of bug ticketing from identification to resolution.
• Support the integration and deployment of software builds, facilitating consistent and reliable releases to testing teams for further evaluation.
• Work closely with your assigned team and other cross-functional departments to provide timely, actionable feedback to development teams for iterative improvement.
• This position will require onsite work at the office location on a hybrid schedule, with a commitment of three days per week in the office environment.
• Internship duration is set for the period starting in August 2026 and concluding in December 2026, aligning with the academic calendar.

Requirements

• Currently pursuing a Bachelor's, Master's, or Doctorate degree in Computer Science, Robotics, Electrical Engineering, or a related technical field, with graduation expected within 0-3 years of relevant experience.
• Eligibility to work in the United States without sponsorship for this internship position.
• Enrollment in a degree program is a prerequisite for consideration.
• Demonstrated ability to meet the essential functions of the role as outlined in the job description.
• Availability to commit to the full duration of the internship as specified in the key facts section.
• A strong foundational understanding of the principles underlying your chosen technical field.
• The capacity to translate academic knowledge into practical applications within a professional engineering setting.
• Compliance with all corporate and team-specific policies regarding intern participation and conduct.

Nice to have

• Preferred familiarity with data analysis and visualization tools commonly used in engineering environments.
• Foundational understanding of machine learning principles and practices relevant to autonomous systems.
• Prior experience with embedded systems and software development processes is considered beneficial.
• Demonstrated proficiency in programming languages relevant to the role and the tasks described.

Practical notes

• This internship requires candidates to be eligible for employment in the United States.
• The compensation for this position is offered in the range of $34 to $41 per hour.
• The work location is specified as either Blacksburg, Virginia or Ann Arbor, Michigan.
• The schedule is hybrid, requiring three days of onsite presence at the office per week.
• The internship start date is aligned with August 2026, with a conclusion date in December 2026.

Job ID: 102798