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Torc Robotics logo
Torc Robotics

Leading autonomous vehicle technology since 2007, Torc develops automated Level 4, Class 8 trucks with Daimler.

Senior Systems Engineer – ODD Definition, Automation

Systems EngineerSystems EngineerFull TimeRemoteSeniorTeam 501-1,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

57 days ago

Salary

$139K - $166.8K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglish

Job Description

Senior Systems Engineer – ODD Definition, Automation

Torc Robotics

• Play a key role in evaluating and enhancing the safety and reliability of autonomous trucking systems. • Work with functional engineers, system engineers, data scientists, AI-ML engineers, and SW Devs to ensure that autonomous systems operate safely under all conditions. • Analyze and select specific data elements needed for all 6 layers as part of the PEGASUS framework. • Generate comprehensive scenario-based requirements, testing, verification, and validation for L4 autonomous driving. • Derive system requirements based on specific scenarios and use cases related to Operational Design Domain (ODD). • Apply system methodologies and data analysis to characterize the ODD to improve vehicle requirements at the system level. • Lead data analysis and information extraction in the organization. • Communicate ODD characterization results to the product organization and stakeholders to improve requirements and testing. • Develop verification and validation targets for known and unknown safety scenarios. • Support SOTIF-related operational strategies, ensuring the safe deployment of autonomous vehicles. • Collaborate with systems design and architecture teams to ensure SOTIF considerations are integrated into specifications.

Job Requirements

  • Master’s Degree in Computer Science, Computer Engineering, Statistics, Systems Engineering, or equivalent with 3+ years relevant experience.
  • Bachelor’s Degree in Computer Science, Computer Engineering, Statistics, Systems Engineering, or equivalent with 6+ years relevant experience.
  • Strong knowledge of automotive, heavy-duty truck, or aerospace products and industries.
  • Leverage data science and statistics to extract information from large data sets.
  • Collect data from different sources (including maps) to identify the elements needed for the 6-layer framework.
  • Transfer data into new formats to make it more appropriate for analysis.
  • Creating new, experimental frameworks to collect data.
  • Building tools to automate data collection.
  • Strong analytical skills, with the ability to assess risks, derive safety requirements, and define verification & validation strategies.
  • Excellent project management and leadership skills, with the ability to drive safety initiatives across cross-functional teams.
  • Highly organized and capable of handling multiple projects in a fast-paced, evolving environment.
  • Strong interpersonal and communication skills, with the ability to collaborate effectively across engineering teams and leadership.
  • Detail-oriented, self-motivated, and able to work independently while also leading discussions and influencing stakeholders.
  • Comfortable working in an environment of ambiguity and rapid change, with the ability to quickly adapt and make informed safety decisions.
  • Ability to ethically handle sensitive and confidential information with impartiality and professionalism.

Benefits

  • Health insurance
  • Corporate bonus and stock option plan
  • Full range of medical, financial, and/or other benefits

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