Job Summary

The Autonomy Development and Infrastructure Team is responsible for building and maintaining a suite of tools used to test and validate the safety and comfort of our autonomous vehicle fleet. These tools provide some of the most important leading indicators of vehicle performance and reliability.

Due to the high degree of autonomy of our fleet, the simulation suite often provides the first insight into performance degradation or to identify new areas to enhance our operation. We build the tooling around this product to include custom performance indicators and tests, robustness measures, and data analysis.

You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV’s today, with vehicles operating daily in the real world.

Essential Responsibilities

• Enhance our existing simulation suite to provide additional value to the autonomy development team using a variety of statistical and heuristic analysis techniques.
• Maintain our continuous development and integration suite.
• Implement user facing interfaces for employees to utilize our simulation infrastructure and provide insight into autonomy performance.
• Perform data analysis of simulation and real world vehicle performance using modern DataFrame libraries.
• Partner with our vehicle autonomy, operations, and platform teams to improve performance and address software needs across the organization
• Write high performance, generic libraries to make our simulation software as fast and scalable as possible
• Build and manage large-scale simulation pipelines in a cloud environment

Skills and Abilities

Success in this role typically requires the following competencies:

• Excellent attention to detail and rigorous testing methodology
• Excellent written and verbal communication skills

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

• B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree 
• Experience working in Python, C, C++, and/or Rust
• Strong working knowledge of design patterns, data structures, and algorithms
• Experience designing, building, and expanding complex software systems with real-time and performance constraints
• Previous experience developing in Linux environments or ability to adapt to this environment
• Experience with robotics, automotive engineering, or start-ups is not required

Desirable

• M.S or Ph.D.. Degree in Computer Science, Computer Engineering, or another related technical field.
• A minimum of 5 years of industry experience
• Significant experience working in Python is a plus
• Experience in some form of real-time simulation platform development and integration (game engine, autonomous vehicle simulation, etc…) 
• Significant experience with data science tools in python (e.g. numpy, scipy, scikit-learn) is a plus
• Rust experience is a plus
• Experience with Applied Intuition simulation software suite a plus (Simian, Logstream, Spectral, etc…)

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Travel required? -  Minimal: 1%-10%