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

1,001-5,000 employees

Develops and manufactures advanced self-driving vehicles
Company Overview
Cruise, a leader in the autonomous vehicle industry, offers a unique opportunity to contribute to the development of advanced self-driving technology that aims to enhance urban mobility, reduce carbon emissions, and improve safety. The company's strategic partnerships with industry giants like General Motors and Honda, along with significant investment from major corporations, underscore its competitive edge and commitment to fully integrated manufacturing at scale. With a strong focus on accessibility and breaking down transportation barriers, Cruise fosters an inclusive culture that values diverse talent and perspectives, making it an ideal workplace for those passionate about making a tangible impact on the future of transportation.
Industrial & Manufacturing
Data & Analytics
Hardware

Company Stage

Series A

Total Funding

$13.7B

Founded

2013

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-15%

1 year growth

-4%

2 year growth

25%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Apache Beam
Data Structures & Algorithms
BigQuery
SQL
Java
TypeScript
AWS
Go
Data Analysis
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