Meet the team:  

The Safety and Regulatory team at Torc is responsible for providing an internal but independent assessments of safety performance and adherence to industry safety standards. The team includes accomplished experts in the areas of safety standards, safety management, and large-scale safety data analyses. This growing team collaborates across all areas of Torc, including fleet operations, autonomy developers, simulation engineers, and systems engineering to both foster a positive safety culture and identify pragmatic solutions to controlling risk. As part of this team, you will be using programming and engineering knowledge to analyze data originating in pre-production automated driving systems.

What You'll Do: 

You will be translating large scale flowing data into analyses related to vehicle performance. Being a software and automated vehicle company, this role involves working with large-scale, heterogenous data that are generated by sensors and software testing and during on-road operations. You will integrate the domains of engineering/physics, statistics, and computer science, to monitor vehicle or subsystem performance in specific areas. More specifically, you will:

• Programmatically analyze large-scale data sets originating from state-of-the art software, hardware and sensing technologies
• Leverage engineering and physics formulae to analyze streaming data from raw form to robust findings
• Actively identify and integrate relevant data from disparate internal and third-party data providers
• Construct data processing workflows that provide continuous up-time monitoring of raw data that range from a variety of sensors (IMU, lidar, radar, vision, controllers and controls) to test operations annotations, to compute systems performance.
• Produce interactive results that enable users to understand your workflows and answer a variety of their secondary questions related to your analyses.
• Participate in cross functional discussions and presentations with engineers and other internal stakeholders

What You'll Need to Succeed:    

• Strong success in early undergraduate engineering course content including dynamics, physics, engineering methods, programming, etc
• Demonstrable project competency using Python’s engineering, data science, visualization libraries
• Experience in SQL
• Time management skills and the ability to track and prioritize tasks
• Naturally inquisitive and an excellent strategic problem solver. Able to dissect complex problems, make appropriate tradeoffs, and develop thoughtful recommendations 
• Ability to develop strong working relationships in a distributed work environment
• Excellent interpersonal, verbal, and written communication skills to build trust and strong working relationships, effectively create and proofread documents and reports, and communicate to a diverse workforce 

Bonus Points!  

• Experience with CI/CD methods and use of shared code repositories and review
• Experience with AWS serverless architecture
• Experience with Terraform
• Familiarity with tenets of agile development and delivery, including delivery of visible progress in an ongoing manner to elicit and incorporate discussion and feedback from a variety of stakeholders

Pay Transparency

• The compensation range provided below is indicative for students with a Bachelor's degree. For individuals pursuing a Master's or PhD, the salary range increases to reflect advanced education and expertise.