Senior Manager of Model-Based Systems Engineering at TuSimple

| San Antonio, TX
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Join TuSimple and help change the way the world moves.  Together we're making freight transportation safer, more efficient, and more environmentally friendly.
This role is remote friendlyFor immediate consideration please email your resume to: system[email protected]ivy.greenhouse.io TuSimple Company Overview

Come join a higher calling and find a deeper purpose!  

TuSimple is a fully commercialized autonomous trucking company.   As a multi-national Artificial Intelligence Technology Company, we are at the epicenter of the Autonomous Vehicle Universe. Our breakthroughs are leading the industry in autonomous trucking. 

While inventing the framework of Autonomous Driving, our live fleet of autonomous Trucks have fully evolved land freight.    TuSimple is leading the way by hiring the most talented researchers, engineers, and scientists. 

TuSimple was founded half a decade ago with the goal of bringing the top minds in the world together to achieve the dream of a driverless truck solution. With a foundation in computer vision, algorithms, mapping, and Artificial Intelligence, TuSimple has created the first commercially viable Autonomous Freight Network.

Opportunity Overview

TuSimple is currently seeking an experienced Senior Manager of Model-Based Systems Engineering (MBSE) to strengthen our Systems Engineering infrastructure and accelerate our development processes. The Senior Manager will lead a team of experienced Systems Engineers and Architects, and will build a rigorous MBSE capability that facilitates rapid scaling of our already fast-growing business. This is a highly visible role, working across the entire TuSimple organization. The role includes strong cross-functional collaboration with Product, Quality, Operations, PMO, and Engineering leadership, to develop & deploy a high-reliability Systems Engineering lifecycle for the entire business. This Senior Manager will report directly to the VP of Systems Engineering & Test, and will extend our engineering process infrastructure  to enable robust MBSE and Model-Based Design (MBD), with bi-directional traceability from Product Requirements to Validation. Given the extreme safety-criticality of autonomous freight applications, the MBSE infrastructure will form the safety-critical  backbone of our Engineering operations, and will support continuous improvement of our agile development methodologies. This role will also work closely with our OEM and contracting partners, including Traton and Navistar, to ensure efficient alignment of our development processes and MBSE infrastructure across corporate boundaries.

Role Responsibilities
  • Lead the team responsible for delivery of MBSE artifacts for all TuSimple autonomous trucking applications, including SysML/UML models of ConOps & Requirements, Architecture models, and GSN trees for the Safety Case Framework.
  • Act as a deep subject matter expert on all aspects of model-based systems engineering, including developing appropriately tailored simulation & analysis methods to generate robust requirements for defensive driving and other complex autonomy behaviors.
  • Own selection and institutionalization of all Engineering tools and processes necessary to provide bi-directional traceability of product requirements through to validated products
  • Responsible for end-to-end Systems Engineering process connectivity across the design lifecycle, including documentation, workflow automation, and development efficiency measurement
  • Primary custodian of the requirements management toolchain and of the artifacts stored within it, including all ConOps, Requirements, Functional, Logical & Physical Architectures, ICDs and any linked material that supports the safety and assurance case for TuSimple’s products
  • Work closely with Software and Hardware engineering leadership to ensure tight connectivity and alignment with the overall system architecture and application intent
  • Hire, develop and retain strong talent, building a state-of-the-art MBSE capability that maximizes design reuse, reduces refactoring across applications, and accelerates development
  • Identify broader MBSE needs and evangelize increased use of model-based design and verification methods to ensure TuSimple accomplishes its key business objectives
Experience & Skills Required
  • 10 years of experience in MBSE, including experience using MBSE in highly-regulated safety-critical industries like Automotive, Aerospace & Defense, or Medical Robotics
  • Bachelor’s degree in Systems , Control, Software, Electrical, Robotics, or a related Engineering field
  • Deep competence in at least one core robotics and autonomy discipline, especially systems control, embedded software, or artificial intelligence & machine learning (AI/ML)
  • Experience customizing system-level architectural frameworks, including TOGAF, DoDAF, MoDAF, Arcadia or other system-of-systems frameworks, to align with application and organizational needs
  • Experience with design and development of complex autonomous, mechatronic or robotic systems.
  • Demonstrated ability to develop, document & institutionalize new engineering tools & processes
  • Proven ability to develop safety-critical requirements, architectures and tests using MBSE methods
  • Deep understanding of the MBSE toolchain including UML/SysML modeling tools like Cameo, MagicDraw, Enterprise Architect, Rhapsody or equivalent offerings
  • Experience customizing and deploying requirements management tools across a large matrixed engineering organization, using DOORS, Contour, Jama or equivalent integrated tools
  • Hands-on experience integrating Hazard & Risk Analysis, fault trees, Failure Mode & Effect Analysis (FMEA), and other Safety-centric methodologies into the MBSE toolchain
  • Embedded software development experience in an MBSE-centric framework, including use of autocode tools like Matlab-Simulink, Rhapsody in C, or similar code generators to accelerate coding

Preferred Skills and Experience

  • Master’s degree in Systems Engineering or Control Engineering
  • Ph.D. in robotics, mechatronics or other automation-centric field, including Control Engineering, Software Engineering, or Robotics
  • Strong team-building skills to support the rapid growth of the MBSE function
  • Strong communication & change management skills to accelerate MBSE adoption across TuSimple
  • MBSE or Systems Engineering Leadership experience at the Senior Management level or above
  • Experience integrating optimization-based methodologies into architecture design and analysis
Bonus Points (optional section)
  • Automotive industry engineering experience, with a Level 2+ autonomous vehicle developer
  • Understanding of ISO 21448, ISO26262, DO-178B/C, or ARP4761 safety-critical system standards
  • Ability to write, review or functionally understand implemented C++ and/or Python code

 

TuSimple Benefits

  • 100% employer-paid healthcare premiums for you and your family
  • Work visa sponsorship available
  • Relocation assistance available
  • Breakfast, lunch, and dinner served every day
  • Full kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and more
  • Stock options / equity
  • Gym membership reimbursement
  • Monthly team building budget
  • Learning/education budget
  • Employer-paid life insurance
  • Employer-paid long and short disability

TuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.

This role is remote friendly. 
For immediate consideration please email your resume to: system[email protected]ivy.greenhouse.io

More Information on TuSimple
TuSimple operates in the Automotive industry. The company is located in San Diego, CA. TuSimple was founded in 2015. It has 798 total employees. To see all 1504 open jobs at TuSimple, click here.
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