Systems Architect - Machine Learning, Autonomy, Safety
Pittsburgh, Pennsylvania, United States
The System Architecture team owns the big picture system design. The team works across the organization with the product, engineering, and safety teams. Systems Architects find balance between technical breadth and depth. They help to streamline communication channels and transition from leading development of the big picture vision to diving into the details to ensure problems are being properly addressed and allocated.
The Motional Pittsburgh office is located in the new Hazelwood Green development at 4734 Second Avenue, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.
What You'll Be Doing
Lead system architecture decision making process, including generating engineering tradeoff studies exploring the decision space at the initial design stage or as problems arise.
Continually drive alignment between product, technical requirements, architecture design and detailed implementation.
Define and manage interfaces between system modules, generating design strategies to maintain useful abstraction barriers between components and facilitate appropriate information transfer.
Analyze full system performance data (e.g. on-road performance data) to identify cross-system trade-offs, trace high-level issues back to requirements and specifications, and identify cross-module solutions for issues.
Serve as a point of contact for system-level engineering questions and issues that may arise.
Guide documentation efforts for a complex engineering system, in some cases creating system documentation.
Provide a view of technical risk to leadership based on system analysis and technology readiness.
What We're Looking For
Experience working across subsystem boundaries and teams to solve a complex engineering problem
Deep understanding of an engineering discipline that informs cross-system understanding of typical engineering problems
Experience with safety-critical system design and associated techniques
Experience using data analysis to answer system-level performance questions
A qualified applicant probably has a minimum of 5 years of industry experience or a minimum of 3 years of industry experience plus a Ph.D. degree in a relevant field
Bonus Points (not required)
General familiarity with programming and software architecture a plus
Experience with System modeling tools, such as Simulink and Enterprise Architect, and data analysis tools, such as Matlab, R, and python, is a plus
Experience with or training in formal systems engineering techniques (requirements writing, validation and verification, etc) is a plus
Experience working with both hardware and software systems is a plus
Experience delivering fielded robotic systems is a plus
Motional is making driverless vehicles a safe, reliable, and accessible reality.
Our team is commercializing a world-class driverless system. The Motional team is behind some of the industry’s largest leaps forward in the last decade, including the first fully-autonomous cross-country drive in the U.S, the launch of the world’s first robotaxi pilot, and operation of the world’s most-established public robotaxi fleet. Strategically formed by Hyundai Motor Groupand Aptiv, Motional is fundamentally changing how people move through their lives.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.