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Senior Computer Vision Engineer/Applied Scientist - SLAM

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Engineering

HOVER uses patented technology making it possible for anyone with a smartphone camera to create an interactive 3D model, complete with detailed measurements and powerful design features. The data produced is extremely valuable as it generates a single source of truth for the physical world allowing for more veracity throughout the home improvement and insurance processes. We’ve found an incredibly strong product-market fit across exterior home improvement, insurance, and financial services. What's the secret sauce? Cutting edge technology, an exceptional culture, and a commitment to our values (Think. Do. Serve.). 

With our team of investors, including Google Ventures and Menlo Ventures, HOVER is committed to continuing our success and facilitating growth. We believe there is strength in diversity so we hire skilled and passionate people from a wide variety of backgrounds.

Why HOVER Wants You:

Computer Vision is at the core of our technology and our future. We’re looking for engineers with deep technical experience (theoretical and applied) in computer vision to expand the core components of our 3D data platform. You'll join a world class team and will help the team fulfill technical, operational, and business requirements.

This role is very much rooted in developing practical applications that can have immediate value to the business. You'll work alongside our team of designers, frontend, backend, graphics, and devops engineers to bring your creations to life. This means that you must not only be able to stay at the forefront of your discipline, but you must also excel at communication and collaboration.

You Will Contribute By:

  • Design, implement, improve and evaluate algorithms and systems for robust visual inertial tracking and SLAM under challenging situations, geometric computer vision, and sensor fusion
  • Design and develop creative solutions and novel algorithms in an applied research setting through rapid prototyping to validate hypothesis and identify promising directions to solve failure cases
  • Continue to learn and deepen your technical expertise while also mentoring and contributing to the growth of the computer vision group
  • Providing technical leadership and guidance to your team members and the broader organization

Your Background Includes:

  • Substantial experience developing algorithms for SLAM and/or Visual (Inertial) Odometry either in academic research or industrial setting
  • Deep theoretical understanding and practical experience developing novel algorithms for some of the following topics:
    • Robust tracking for VIO/SLAM in RGB and/or RGB-D scenarios
    • Realtime VIO/SLAM for handheld cameras / smartphones
  • Creative problem solving skills and excellent software development skills
  • Comfortable building prototypes in either C++ or Python 
  • Highly competitive and passionate about solving hard technical problems
  • Have an entrepreneurial mindset and be able to thrive amidst ambiguity & uncertainty

Nice to haves:

  • PhD related to SLAM/VIO
  • Strong track record of research in related areas including but not limited to (preferring candidates with publications in top-tier venues such as CVPR, ICCV, ECCV)
  • Visual tracking in featureless scenarios, under rapid motion, etc
  • VIO/SLAM exploiting geometric regularities of urban scenes
  • Practical experience in writing robust and maintainable production code in modern C++

Benefits:

  • Compensation - Competitive salary and meaningful equity in a fast-growing company
  • Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
  • Paid Time Off - Unlimited and flexible vacation policy 
  • Paid Family Leave- We support work/life balance and offer generous paid parental and new child bonding leave 
  • Mandatory Self-Care Days - A day set aside each month to allow employees to recharge 
  • Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance 
  • Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

 

PRIVACY NOTICE FOR CALIFORNIA JOB APPLICANTS [link]

By submitting your application, you are agreeing to HOVER's use and processing of your data as described in the notice linked above.

 

The base salary for this position will vary based on geography and other factors. In accordance with Colorado law, the base salary for this role if filled within the Denver Metropolitan area is $148,000-$231,000.

 

#LI-PW1 #LI-Remote

Benefits

Compensation

Competitive salary and meaningful equity in a fast-growing company


Healthcare

Comprehensive medical, dental, and vision coverage for you and dependents


Paid Time Off

Unlimited PTO for exempt employees and PTO accrued at 3 weeks per year for non-exempt employees


Paid Family Leave

We support work/life balance and offer generous paid parental and new child bonding leave


Mandatory Self-Care Days

A day set aside each month to allow employees to recharge


Remote Wellbeing Resources

We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance


Learning

We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications



Apply for: Senior Computer Vision Engineer/Applied Scientist - SLAM

Remote

Engineering

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U.S. Equal Employment Opportunity Information (Completion is voluntary)

Individuals seeking employment at HOVER are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic(s) protected by applicable law. HOVER requests information on the race/ethnicity, gender, and veteran status of our applicants for monitoring equal employment opportunity and as part of the Company’s commitment to a diverse and inclusive workplace.  Completing this survey is voluntary. All responses are kept private and will not affect your candidacy for employment.

Completing this survey is voluntary. All responses are kept private and will not affect your candidacy for employment.

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