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Systems Engineer
Autonomy Software
Posted on 2/1/2022
INACTIVE
Locations
Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Management
Requirements
  • Bachelor's Degree or Master's Degree candidate in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field
  • Strong programming and algorithmic problem solving skills. You do not need to know data structures, but should be able to script prototypes and review code easily
  • Technically fluent and experience working in a team with strong software engineering practices
  • Deep understanding of how robotic systems work and ability to leverage this knowledge to build tooling and infrastructure to evaluate them
  • Highly collaborative in nature with strong abilities to think and communicate analytically and effectively
  • Self starter and fast learner - you should be passionate about picking up new skills and approaching unstructured problems from first principles
  • You must have at least 7 years of experience in one or a combination of the following (not necessarily in industry):
  • Designing statistical inference methods for data produced from various experiments on physical systems
  • Software development and QA in one or more of autonomy's core modules: localization, perception prediction, planning, controls
  • Analyzing and managing FDIR (fault detection, isolation, recovery) for the software stack on semi-autonomous or autonomous vehicles or equipment
  • Implementation of the V model of systems engineering on a delivered product in the capacity of management of at least one of: architecture, requirements, configuration, or interfaces
  • End-to-end functional decomposition, defining physical/logical architectures, allocating functionality, and reliability analysis of safety-critical complex systems
  • End-to-end parametric characterization of human road user behavior and ODDs, which quantitatively informs scenario generation and simulation realism assessment
  • Man-machine interface design, development, and validation testing for teleoperations of vehicles (aerial or terrestrial) in safety-critical environments
Responsibilities
  • Dive into the system-level implications of Nuro's autonomy architecture and software, and drive validation concepts from prototype to production to test
  • Work closely with autonomy developers to extract high-impact metrics and performance indicators that will test our robots' readiness to drive autonomously on public roads
  • Support software development for automating data log processing from onroad tests and closed course tests, and support simulation tools to scale testing across variations of environment and agent behavior
  • Support the development of tools and data engineering frameworks that can interpret results from curated amounts of simulation, onroad, closed course testing to assess mission capabilities and safety
  • Design experiments and perform trades studies to assess performance, safety, risk, and cost of competing technical solutions at the system or subsystem level
Nuro

501-1,000 employees

Autonomous delivery vehicles
Company Overview
Nuro is on a mission to better everyday life through robotics. The company produces custom electric autonomous delivery vehicles designed to bring everyday items—from produce to prescriptions—right to your home.