Torc Robotics

Safety Data Analyst

Torc Robotics$126K — $151K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree in Data Science, Computer Science, Math, or related field (B.S. with 5+ years, M.S. with 3+ years, or PhD with 1+ year of experience)
  • Proven experience in mechanical engineering, vehicle engineering, autonomous systems, or robotics
  • Expertise in vehicle and sensor systems, cloud-based data technologies, and statistical analytics
  • Strong background in applied statistics, safety analysis, and risk estimation
  • Experience with complex, real-world datasets and large-scale time-series data
  • Proficiency in programming languages, especially Python and SQL
  • Familiarity with agile development practices and CI/CD workflows

Responsibilities

  • Develop and refine safety performance indicators and targets for on-road and simulation data
  • Apply statistical methods to evaluate safety performance and support risk-based decisions
  • Create automated workflows for continuous safety monitoring and incident response
  • Ensure monitoring methods reflect real-world deployment and safety requirements
  • Balance analytical rigor with the need for timely decision support
  • Evaluate data quality and limitations for defensible findings
  • Support data visualization and communication strategies for technical and executive stakeholders
  • Collaborate cross-functionally to align workflows on data-driven decisions
  • Maintain documentation for traceability and regulatory readiness
  • Foster knowledge continuity through peer review and cross-training

Benefits

  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with 6% employer match
  • Flexibility in schedule and immediate generous paid vacation
  • AD+D and Life Insurance
  • Collaborative and energetic company culture with a competitive compensation package including bonuses and stock options
Full Job Description
Meet the Team

At Torc Robotics, our Safety Data Analysis team sits at the core of how we measure, understand, and continuously assess the safety performance of Torc Drive. This team blends engineering, statistics, and large-scale data analysis to transform complex, multi-modal datasets into actionable safety insights.

What You'll Do
  • Develop, implement, and refine safety performance indicators, thresholds, and targets to proactively identify, assess, and manage safety risk across on-road and simulation-based data sources.
  • Apply statistically sound methods to evaluate safety performance, quantify uncertainty, and support risk-based decision-making in complex, real-world operational contexts.
  • Develop automated, production-ready analysis workflows that support continuous safety monitoring, milestone gating, incident response, and safety performance evaluation.
  • Ensure performance monitoring approaches appropriately reflect real-world deployment exposure, evolving operational contexts, and relevant safety requirements.
  • Balance analytical rigor with timeliness to support high-consequence, time-sensitive decisions.
  • Evaluate data quality, uncertainty, bias, and limitations to ensure findings are statistically defensible and useful for decision-making.
  • Support data visualization, reporting, and communication strategies that help technical teams, safety stakeholders, and executives understand insights, tradeoffs, and limitations.
  • Partner cross-functionally with engineering, product, verification and validation, simulation, metrics implementation, and safety teams to integrate workflows and align on data-driven decisions.
  • Maintain strong documentation of analytical methods, assumptions, workflows, requirements, safety metrics, and outputs to support traceability, collaboration, and regulatory readiness.
  • Ensure continuity of knowledge through peer review, cross-training, shared analytical patterns, and reproducible workflows that reduce single-point dependencies.

What You'll Need to Succeed

Advanced degree in Data Science, Computer Science, Math, or a closely related field:
  • B.S. with 5+ years of experience, or
  • M.S. with 3+ years of experience, or
  • PhD with 1+ years of experience
  • Proven experience in mechanical engineering, vehicle engineering, autonomous systems, robotics, or physics-based applications.
  • Experience with vehicle and sensor systems, cloud-based data technology, data visualization, and statistical analytics.
  • Strong background in applied statistics, safety analysis, risk estimation, or decision support.
  • Experience working with complex, real-world datasets rather than only clean or purely academic data.
  • Experience working with large-scale time-series data, vehicle data, sensor data, structured safety datasets, or other heterogeneous technical data sources.
  • Proficiency in programming languages, particularly Python and SQL.
  • Familiarity with agile development practices and continuous integration/deployment, including CI/CD workflows.
  • Strong time management and organizational skills with the ability to prioritize tasks effectively.
  • Excellent problem-solving skills with the ability to dissect complex issues and develop practical, creative solutions.
  • Ability to communicate statistical and technical concepts clearly to diverse teams and stakeholders.
  • Experience working in distributed teams and collaborating across different time zones.

Bonus Points
  • Background applying statistics to engineering or physics-based systems.
  • Familiarity with time-series analysis, uncertainty quantification, rare-event modeling, or reliability analysis.
  • Experience supporting executive, regulatory, or external stakeholder decision-making.
  • Experience in simulation evaluation, scenario coverage analysis, or safety-critical system verification.

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 match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

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: 102867

Hiring Range for Job Opening

US Pay Range

$126,100-$151,300 USD

About Torc Robotics

Torc Robotics is a company that develops autonomous vehicle technology. It was founded in 2005 in Blacksburg, Virginia, and has since become a leader in the field of self-driving vehicles. Torc Robotics has developed autonomous technology for a variety of applications, including military vehicles, mining trucks, and consumer cars. The company has partnerships with major automotive manufacturers, including Daimler Trucks North America and Caterpillar. In 2019, Torc Robotics was acquired by Daimler Trucks North America, and it continues to operate as a subsidiary of the company.
Learn more about Torc Robotics
Size
200 employees
Industry
Founded
2005

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