Safety Data Engineer

Summary

Join Torc, a leader in autonomous driving, and contribute to the development of cloud-based data analysis systems for automated trucks. As part of a collaborative team, you will leverage your engineering, statistical, and programming skills to collect, analyze, and interpret large datasets. You will develop robust and scalable data analysis pipelines, providing critical safety performance insights for decision-making. This remote role requires alignment with Eastern Time and involves data processing, analysis, and reporting. The position requires a degree in a related technical field and relevant experience in data analysis and engineering. Torc offers a competitive compensation package, comprehensive benefits, and a flexible work environment.

Requirements

• A degree in Engineering, Computer Science, Statistics, or a related technical field
• M.S. with 0-3+ years of experience, or B.S. with 4+ years of experience
• Proven experience in mechanical engineering, vehicle engineering, or physics-based applications
• Experience with vehicle and sensor systems, cloud-based data technology, data visualization, and statistical analytics
• Proficiency in programming languages, particularly Python and SQL
• Familiarity with agile development practices and continuous integration/deployment (CI/CD)
• Strong time management and organizational skills with the ability to prioritize tasks effectively
• Excellent problem-solving skills and the ability to dissect complex issues and develop creative solutions
• Ability to communicate effectively with diverse teams and stakeholders
• Experience working in distributed teams, with the ability to collaborate across different time zones
• Plotly/Dash and/or Tableau

Responsibilities

• Research and access internal and external big data sources
• Perform exploratory analyses to evaluate data completeness and relevance
• Develop serverless cloud-based workflows to transform and integrate data from various domains, including vehicle, sensing, video, meteorological, and geospatial data
• Use engineering principles, signal processing and statistical principles to clean, filter, and process raw data effectively
• Select appropriate analysis methods for various data types to manage bias and ensure data quality
• Develop models, compare performance, and identify key factors that impact safety performance
• Construct continuous analysis workflows that support day-to-day operations and decision-making
• Use visualization tools to communicate insights and support decision-making
• Automate reporting and documentation to improve efficiency and regulatory compliance
• Maintain detailed documentation of code, workflows, and data stores for reference by team members

Preferred Qualifications

• Ability to travel occasionally to other sites and possibly internationally (passport required)
• Comfortable with occasional outdoor exposure and working overtime when necessary
• Requires the use of Personal Protective Equipment (PPE) in designated areas
• A passion for continuous technical education and staying current in the field of data engineering and autonomous systems

Benefits

• 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)
• Company-wide holiday office closures
• AD+D and Life Insurance