Senior Systems Engineer – Assisted Autonomy

Senior Systems Engineer – Assisted Autonomy

Requirements

• Bachelor’s Degree, Master’s Degree, or Doctoral Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
• Deep understanding of how robotic systems work and ability to leverage this knowledge to build requirements and tests for autonomous vehicles.
• Experience working in a safety-critical industry (e.g. robotics, automotive, aviation/aerospace, medical devices) for a complex system, specifically when there is a human in the loop.
• Working knowledge of and ability to apply systems engineering concepts of requirements, verification, and validation to systems that involve humans.
• Hands-on experience with STPA and ISO 21448.
• Strong Python programming and algorithmic problem-solving skills.
• Experience with simulation as applied to verification and validation.
• Highly collaborative in nature with strong abilities to think and communicate analytically and effectively.
• Strong communication skills – both verbal and written. Excellent interpersonal skills and the ability to build good working relationships.
• Self starter and fast learner – you should be passionate about picking up new skills and approaching unstructured problems from first principles.
• Must be self-motivated to prioritize and manage workload and meet critical project deadlines.
• 6+ years of technical work experience in a relevant area, of which 3+ years should be in robotics SW.

Responsibilities

• Manage system goals, capabilities, and safety claims by understanding the capabilities of Autonomy and Remote Assistance and interfacing with cross-functional leads.
• Support the safety case by identifying, documenting, and communicating Autonomy safety claims and decomposed system requirements.
• Apply one or more analytical techniques for risk identification such as Hazards and Risk Analysis (HARA) and STPA.
• Write, manage, and communicate behavioral requirements for the system, applicable subsystems, and operations; manage the assignment of behavioral competency responsibilities across the system and operations.
• Design experiments and perform trade studies to assess adequacy and cost of competing technical solutions for substantiating safety claims, including but not limited to autonomy architecture, mitigations, and end-to-end testing; make strategic recommendations based on the results.
• Support the design and architecture by infrastructure and autonomy engineers of the remote assistance system, factoring in constraints from infrastructure, autonomy, operator performance as well as constraints from validation/test ability (e.g. simulation).
• Drive the validation strategy for remote assistance, delegating to software engineering, hardware engineering, and operations where appropriate.
• Communicate design gaps and residual risks effectively to a cross-functional product development team.

Preferred Qualifications

• Experience writing safety claims and system requirements for SAE L2/L3/L4 systems to operate safely.
• Familiarity with ISO 8800.
• Experience with simulation of autonomous vehicles.