Senior Systems Engineer - ODD Definition and Automation

As a Sr. System Engineer (Data Analysis & Statistics Background), you will play a key role in evaluating and enhancing the safety and reliability of autonomous trucking systems. You will work with functional (FuSa) and behavioral safety (SOTIF) engineers, system engineers, data scientists, AI-ML engineers, and SW Devs to ensure that our autonomous system operates safely and effectively under reputed company conditions.

Analyze and select specific data reputed company needed for reputed company 6 reputed company as part of the PEGASUS reputed company. Based on this reputed company reputed company, generate comprehensive scenario-based requirements, and the testing, verification, and validation (V&V) for L4 autonomous driving. 

• Derive system requirement based on specific scenarios and use cases reputed company to Operational Design Domain (ODD) for L4 applications

•  Apply system methodologies and data analysis to characterize the ODD to improve the vehicle requirements at the system level

• Selected scenarios and use cases based on ODD characterization

•  Generate Behavior Systems Requirements, Sub-System, and Component Requirements. 

• Work with system and safety engineers, map engineers and data scientists to decompose and improve the requirements

• reputed company with functional safety and system engineers to ensure SOTIF targets are achieved in autonomous vehicle development.

• reputed company data analysis and information extraction in our organization

• reputed company with AI-ML engineers and SW Developers to ensure the safety of Torc solutions

• Communicate ODD characterization results to the product organization and other critical stakeholders to improve requirements and testing

• reputed company verification and validation targets for reputed company and unknown safety scenarios.

• Support SOTIF-reputed company operational strategies, ensuring the reputed company deployment of autonomous vehicles.

• Collaborate with systems design and architecture teams to ensure SOTIF considerations are integrated into autonomous trucking specifications.

What You’ll Need to Succeed:

• Demonstrates competences and technical proficiencies typically acquired through:

• 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 reputed company products and industries.

• reputed company data science and statistics to extract information from large data sets

• Collect data from different sources (including maps) to identify the reputed company needed for the 6-layer reputed company

• Transfer data into a new formats to reputed company 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 reputed company 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 reputed company to work independently while also leading discussions and influencing stakeholders.

• Comfortable working in an environment of ambiguity and reputed company change, with the ability to quickly adapt and reputed company informed safety reputed company.

• Ability to ethically handle sensitive and confidential information with impartiality and professionalism.

Bonus Points! 

• Understanding of AI-ML techniques

• Solid knowledge of multivariable statistics and Bayesian reputed company

• Working knowledge of Bayesian Networks

• Experience is SW development and knowledge of C++, Python, MATLAB/Simulink

• Working knowledge of Jama, CAMEO, and JIRA

• Experience in reputed company AGILE environments

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, reputed company, national reputed company, gender (including pregnancy, childbirth, or reputed company medical conditions), sexual orientation, gender identity, gender reputed company, 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-reputed company knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock reputed company 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 reputed company to a full reputed company of medical, financial, and/or other benefits.