Full Stack Software Engineer
Machine Learning Infrastructure
Posted on 4/26/2023
INACTIVE
Cruise

1,001-5,000 employees

Self-driving car service
Company Overview
Cruise's is building self-driving vehicles to improve life in our cities. The company makes autonomous, sustainable, self-driving EVs.
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
BigQuery
Data Analysis
Data Structures & Algorithms
Java
Microsoft Azure
SQL
Apache Beam
Python
TypeScript
Go
CategoriesNew
DevOps & Infrastructure
Software Engineering
Requirements
  • Passion for self-driving technology and its impact
  • Experience and proficiency shipping products end-to-end
  • Technical communication/collaboration skills: technical writing
  • Demonstrated ability to empathize with customer problems and deliver creative product solutions
  • BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience
  • Experience writing high quality and scalable code in Golang, TypeScript, or Python (or similar)
  • Experience building scalable infrastructure on the cloud with Python, Java, or Golang (or similar)
  • Experience with SQL, Bigtable, BigQuery, Apache Beam or other data processing tools
  • Strong computer science fundamentals in object oriented programming, data structures, algorithm design, best practices, and complexity analysis
  • Experience with Google Cloud, AWS, Azure, or similar
Responsibilities
  • Use the latest cloud technologies to design, implement, and test scalable distributed data systems. Champion engineering excellence by continuously improving systems and processes
  • Build automation that surfaces insights on how machine learning engineers can improve workflow efficiency
  • Work closely with machine learning engineers to enable cutting-edge R&D efforts and improve existing systems
  • Own technical projects from start to finish. Effectively participate in team's planning, code reviews and design discussions
  • Work together with partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements
Desired Qualifications
  • Experience building tools that are core to a machine learning engineer's daily work
  • Experience working closely with product managers, designers, and user experience researchers
  • Experience with search/featurization platforms, labeling systems
  • Experience with autonomous vehicle technology
  • ML or experimental design knowledge