Padmi
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Viaduct

machine learning platform · automotive AI

Software Engineer

Ljubljana · OnsitePosted 2 months ago
Software engineeringMid-level
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About Us

Viaduct leverages decades of industry experience, world-class machine learning, and a platform designed specifically for automotive data to deliver a comprehensive suite of AI-powered applications for vehicles on the road today. Our goal is to help Manufacturers and Suppliers to become leaders in the new automotive world.

Who You Are

You are a thoughtful engineer. You pay attention to the long term implications of your design decisions and how they may affect future users of the application. Clarity is better than cleverness - simplicity is top of mind when writing code or designing new services. You know when to make the trade-off between getting work done and doing it perfectly.

What We Are Looking For

  • We are looking for well-rounded engineers, who have the following skills and expertise in at least one of the listed domains

  • Expected Skills

  • • Experience owning a project from design to implementation

  • • 3+ years working as a full-time engineer

  • • Proficient in Python, Go, or Typescript

  • • Comfortable exploring and answering questions with data and SQL

  • Security and Privacy Responsibilities

  • • Follow our policy and procedure documents related to security and privacy

  • • Follow the guidelines in the Employee Handbook

  • • Follow the OWASP Top 10 guidelines when implementing and reviewing code

  • • Participate in new hire and annual training for security and privacy

  • • Treat data security and privacy as one of your primary job responsibilities

  • • Report Security Incidents you discover as bugs

  • • Get approval from the Security Team before adding new 3rd party software to our codebase

  • • Explicitly consider security implications when doing PR reviews

  • Expertise in one or more of:

  • • Building and managing large-scale batch or real-time data pipelines (Data)

  • • Developing, monitoring, and iterating on production machine learning models (Machine Learning)

  • • Deploying and maintaining cloud infrastructure (Infra/DevOps)

  • • Designing and implementing backend microservices (Backend)

  • • Managing state and creating reusable components in React (Frontend)

About the Role

Day 5

• Learn about Viaduct’s history and mission

• Get to know every team member

• Understand Viaduct’s system architecture

• Deep dive into the nuances of vehicle data

• Attend our weekly company-wide meeting and engineering tech talk

Day 30

• Understand the product roadmap and the pain-points of our customers

• Contribute new features to the product

• Refactor code, improve test coverage, or automate a manual process during an engineering hack day

• Be familiar with the day-to-day workflow of your peers

Day 90

• Own a piece of the Viaduct platform

• Improve the onboarding process for future hires

• Present about yourself the company-wide meeting and showcase your work at the engineering tech talk

• Become involved in the recruiting process and help find more amazing people like yourself!

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