Data Engineer - Robotic Systems

| Greater Boulder Area

DESCRIPTION

Recently acquired by Amazon Robotics, Canvas Technology is using spatial AI to provide end-to-end autonomous delivery of goods. By using state-of-the-art cameras and other sensors, the system perceives its surroundings with unrivaled vision and fidelity. Vehicle fleets combine a mix of high-performance sensors with simultaneous localization and mapping software that continuously builds and refines maps in real-time. The vehicles have the capability to ‘see’ and identify different objects, people, other vehicles, and places as they perform their work in a dynamic environment.

Work with a world-class team and help develop one of the most advanced 3D computer vision systems in the world. You'll be a key contributor to our top-tier computer vision team, have a huge impact in a developing sector and see your research come to life building indoor and outdoor autonomous vehicles.

We are seeking a talented and highly self-motivated Data Engineer to help stand up a modern data analytics pipeline focused on autonomous vehicle data. We are passionate about building a highly scalable big data system to support our analytics, machine learning, and data applications. A successful candidate should have a background in business analytics, data science, data visualization, and data engineering.

Responsibilities:
- Lead the development of a suite of backend extract-translate-load (ETL) applications to aggregate large amounts of vehicle and ground station data.
- Define the data infrastructure architecture to store large quantities of data and serve higher level consumers of this data.
- Define the frontend framework to provide a data visualization user interface to serve the engineering community.
- Work with the software quality and development teams to build targeted analytics applications to help drive autonomous vehicle development and field deployment

Amazon is an equal opportunity employer and encourages women and minorities to apply.
 

BASIC QUALIFICATIONS

- BS/MS/PhD in Engineering or Computer Science.
- 5+ years of experience working in Python, C++, or other Object-Oriented languages.
- Experience with database schema design and database administration (both No-SQL and SQL a plus)
- Basic linux system administration skills.
- Excellent communicator able to act as a bridge between multiple engineering groups.
- Familiarity with fast growing companies and the associated deadlines and high-energy culture that goes along with launching new products.

PREFERRED QUALIFICATIONS

- Proven track record standing up and scaling a backend/frontend data analytics toolchain
- Experience working with AWS Big Data Technologies (EMR, Redshift, S3)
- Experience with the Python data stack for data cleansing, analysis, and visualization.
- Experience working with Open Source Big Data tools (Parquet, Spark, Hadoop, Presto)·
- Experience with Apache Airflow for implementing complex ETL pipelines.
- Experience with both SQL and No-SQL database administration.
- Working knowledge of web frontend technologies including javascript and CSS.
- Basic statistics, statistical signal processing, and statistical data visualization.
- Familiarity with modern CI/CD toolchains including source control, issue tracking, automated test, and automated deploy.
#canvas #canvastech #canvastechnology

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Technology we use

  • Engineering
  • Product
    • C++Languages
    • JavascriptLanguages
    • PythonLanguages
    • RubyLanguages
    • SqlLanguages
    • ElixirLanguages
    • D3JSLibraries
    • ReactLibraries
    • ReduxLibraries
    • FlaskFrameworks
    • Node.jsFrameworks
    • PhoenixFrameworks
    • ElectronFrameworks
    • PostgreSQLDatabases
    • RedisDatabases
    • SQLiteDatabases
    • Google AnalyticsAnalytics

Location

We're in Flatirons Industrial Park which has tons of businesses, food trucks and with Upslope brewery and Ozo coffee roastery just steps away.

An Insider's view of CANVAS Technology

What's something quirky about your company?

1:5 – dog to people ratio in our Boulder Headquarters
4 – the number of continents our employees hail from
35% of our employees bike to work
8 Average ski outings during winter per employee

Sandra McQueen

VP Marketing

What's the biggest problem your team is solving?

The type of autonomy that will dominate industry in the decades to come will be of a new kind: adaptive. It will work around its changing environment with ease. It will work seamlessly with people and it will be reconfigurable in minutes. It will do this through the power to see. Visual perception is the harder road, but it will be future proof.

Nima Keivan

CTO

What makes someone successful on your team?

We look for bright people with low ego and a talent for communication and collaboration.
We have witnessed world-class PhDs deferring to engineers just out of school because they came up with a great idea. We have given people with less experience enormous responsibility when they showed drive, good sense and the ability to bring people together.

Sandra McQueen

VP Marketing

What is your vision for the company?

We started CANVAS with the belief that autonomous technology would help transport resources more wisely, both human and material. We set out to create a system with excellent perception that could see well enough to find its way through the most complex indoor warehouses and factories, and also navigate outdoor roads and construction sites.

Jonathan McQueen

CEO

What’s the vibe like in the office?

Our culture is deeply rooted in learning and continuous improvement. It means that employees are voluntarily enrolling in classes, going to seminars, reading the latest papers on computer vision and machine learning, etc. In addition, we’ll sometimes hear how a developer has spent the weekend building something they were excited about.

Sandra McQueen

VP Marketing

What are CANVAS Technology Perks + Benefits

Health Insurance & Wellness Benefits
Health Insurance Benefits
Retirement & Stock Options Benefits
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Flexible Work Schedule
Remote Work Program
Vacation & Time Off Benefits
Unlimited Vacation Policy
Perks & Discounts
Casual Dress
Company Outings
Free Daily Meals
Stocked Kitchen
Happy Hours
Parking
Pet Friendly
Recreational Clubs
Professional Development Benefits
Job Training & Conferences
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