Sr. Applied Scientist at CANVAS Technology

| Greater Boulder Area
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DESCRIPTION

A part of Amazon's Robotics Artificial Intelligence, 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. The system combines a mix of high-performance sensors with simultaneous localization and mapping software that builds and continuously updates maps in real-time, completely automatically. It has the capability to ‘see’ and identify different objects, people, vehicles, and places as it moves and react to moving people and vehicles in an intelligent way.

We are seeking an experienced Sr. Applied Scientist to be part of our team of motion planning scientists and engineers. In this role, you will be expected to help define a team direction for robot planning algorithms, object avoidance and congestion management strategies. This will include providing guidance on system architecture and algorithm selection or design. In this role you will be directly contributing to the implementation. A successful candidate will have strong technical ability, scientific vision, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced environment.

You will be an integral part of the core robotics team and work with others to implement robot motion planning systems above and beyond the current state-of-the-art in the field.

If you are an experienced Scientist, have a track record of delivering to timelines with high quality, are comfortable providing technical direction, have mentored and grown engineers and are deeply technical and innovative, we want to talk to you.




 

BASIC QUALIFICATIONS

· PhD in Engineering, Technology, Computer Science, Machine Learning, Robotics, Statistics or a related quantitative field
· 7+ years of research experience in motion planning, path optimization, controls or a related field.
· 2+ years of software development experience.
· Hands-on architectural or system design experience.
· Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.
· Strong algorithm development experience

PREFERRED QUALIFICATIONS

· PhD and 10+ years of research experience in motion planning, path optimization, controls or a related field.
· Experience implementing efficient, modern planning algorithms.
· Experience in robotics or autonomous vehicles and strong industry background.
· Understanding of machine learning techniques and how they can be applied to motion planning.
·
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation /Age

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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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