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Salary
$161k – $193k per year
Location
Hybrid (Ann Arbor, United States)
Seniority
Staff · 2+ years exp
Visa
H-1B filings in 12 months: 71 · for this role: 2 · green card filings: 9

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 15, 2026. Torc Robotics scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Torc Robotics is an American autonomous driving company founded in 2005 by a Virginia Tech team that competed in the DARPA Grand Challenge, and it was acquired by Daimler Truck in 2019. It develops self-driving software for long-haul freight trucks, working with a manufacturer that builds the vehicle rather than retrofitting third-party trucks, which gives it access to the redundant steering and braking systems autonomy actually requires. Headquartered in Blacksburg, Virginia with operations in Texas and New Mexico, it is targeting driverless freight operation on interstate routes in the American southwest.

About the Company  

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team

The System Triage team plays a critical role in understanding how Torc's autonomous driving software performs in the real world. Through analysis of vehicle data, system performance indicators, and software quality metrics, the team helps engineering leaders identify trends, investigate complex system behaviors, and make informed decisions as we advance toward production.

Within System Triage, the Metrics & Analysis team focuses on turning large volumes of autonomous vehicle data into meaningful engineering insights. From evaluating system performance and traffic law compliance to developing metrics, dashboards, and analysis tools, the team provides visibility into the performance and maturity of our autonomous driving technology.

As the Engineering Manager for Metrics & Analysis, you'll lead a team of technical professionals, establish consistent analytical approaches, and help scale the tools and processes that support engineering decision-making. This is an opportunity to remain close to the technical work while shaping how the team operates, develops, and delivers insights across the organization.

What you'll do:

A successful candidate will have experience in people management, cross-functional collaboration, and hands-on data analysis to support system triage and software quality reporting. A solid background in metrics reporting and visualization for large-scale, safety-critical, or complex software systems is necessary to support engineering decision-making.

  • Manage a small team responsible for analysis and metrics reporting, delivering value to Torc internal engineering and Torc customer-facing teams
  • Prioritize and assign team workload across triage, metrics, and reporting requests from stakeholders, and remove blockers so the team can deliver
  • Coach and develop team members, providing guidance on data analysis approaches, tooling practices, and career growth
  • Own tracking and reporting of metrics for test escapes
  • Provide system performance metrics based on data collected by our self-driving truck
  • Report on software quality using concepts such as defect ratios and software heatmap viewpoints
  • Develop and maintain data analysis scripts and visualization tools for efficient triage, metric reporting, and trend visualization to help the org quickly extract key learnings related to software maturity
  • Combine environment observations with event logs to help identify avenues for investigation and direct root-cause analysis efforts
  • Support defect tracking workflows, including monitoring bug ticket quality and the state of open defects
  • Own and expand the team's analysis and metrics tooling ecosystem, identifying opportunities to automate manual reporting and reduce turnaround time on requests
  • Present metrics, trends, and software quality findings to engineering leadership and cross-functional stakeholders
  • Partner with triage and forensics teams to ensure metrics and tooling keep pace with a rapid integration and deployment schedule for the self-driving software stack

What you will need to succeed:

  • Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, Data Science, or related technical field; experience in lieu of education
  • 2-5 years of industry experience in data analysis, metrics reporting, or test/defect tracking, with some prior experience leading or mentoring a small team
  • Experience with Python programming and SQL for data analysis
  • Demonstrated ability to create new metrics from scratch - defining the metric, implementing the data pipeline, and visualizing the results
  • Experience building data analysis scripts and visualization tooling (e.g., Python, SQL, dashboarding tools)
  • Hands-on experience with Jira for defect/bug tracking, and familiarity with software quality reporting concepts
  • Excellent written and verbal communication skills, with the ability to present technical findings clearly to both technical and non-technical stakeholders
  • Strong problem-solving / analytical skills, attention to detail, and ability to learn in unstructured environments
  • Ability to work in a fast-paced environment with evolving software/hardware infrastructure

Bonus Points!

  • Experience with complex embedded or ADAS systems (autonomous driving software architecture, sensors, networking, compute hardware, control systems)
  • Experience testing autonomous vehicles, ROS based robotics systems or ADAS features
  • Experience with software development tools i.e. build systems, containers, source control etc.
  • Experience with software for real-time or safety-critical systems
  • Experience with Jama for requirements management and traceability

Work Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.

Perks of Being a Full-time Torc’r  

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:   

  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees   
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance  

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Job ID: 103021

Hiring Range for Job Opening 

US Pay Range

$160,800—$193,000 USD

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