Senior/Staff Systems Engineer
Simulation Verification & Validation
Confirmed live in the last 24 hours
Zoox

1,001-5,000 employees

Self driving car robotics company
Company Overview
Zoox is reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. The company is building the infrastructure for self-driving cars.
Automotive & Transportation
AI & Machine Learning

Company Stage

N/A

Total Funding

$2.3B

Founded

2014

Headquarters

Foster City, California

Growth & Insights
Headcount

6 month growth

15%

1 year growth

36%

2 year growth

84%
Locations
San Diego, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
SQL
CategoriesNew
IT & Security
Cybersecurity
IT Project Management
System Administration
Requirements
  • 8+ years of experience in decomposing and analyzing large, complex systems.
  • Experience in systems engineering, requirements authoring, system analysis, and validation/testing.
  • Experience developing, specifying, and/or validating simulation-based testing technologies for autonomous, robotics, or other complex integrated systems.
  • Fluent in data-based and analytical engineering problem-solving practices, including using paretos and root cause analysis.
  • Databricks, Jupyter Notebooks experience.
  • Proficient with Python, SQL, or similar for analysis of large datasets.
  • BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or equivalent experience
Responsibilities
  • Derive requirements and perform system verification/validation for simulation frameworks and tools.
  • Drive planning and execution by decomposing system needs into projects, tools, and/or features that deliver incremental value to teams and customers.
  • Build metrics and tools which measure and continuously monitor simulation validity in alignment with company objectives.
  • Lead analyses of tools/frameworks and communicate results across stakeholders, driving continuous improvement to software components.
  • Collaborate with Engineering Managers to ensure design, implementation, and programs are on track, and regularly drive consensus among diverse partners on technical projects.
  • Develop clear proposals and design documents for large-scope or multi-functional initiatives.
  • Design and build statistically-sound analyses, sampling methods, validation criteria, and development processes for building highly relevant datasets for evaluation applications.
  • Build tools to mine large-scale logs and simulated data for the most interesting situations.