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Kinetica // GPU-accelerated, in-memory analytics database
 
Engineering, Full Time       Posted: Thursday, June 06, 2019
 
   
 
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JOB DETAILS
  Company Description

When extreme data requires companies to act with unprecedented agility, Kinetica powers business in motion. Kinetica is the instant insight engine for the Extreme Data Economy. Across healthcare, energy, telecommunications, retail, & financial services, enterprises utilizing new technologies like connected devices, wearables, mobility, robotics, & more can leverage Kinetica for machine learning, deep learning, & advanced location-based analytics that are powering new services. Kinetica's accelerated parallel computing brings thousands of GPU cores to address the unpredictability & complexity that result from extreme data.

Kinetica operates with a global footprint & an unprecedented adoption by Global 2000 organizations with venture backing from Great Point Ventures, Meritech Capital Partners, Canvas Ventures & Citi Ventures.

For more information & trial downloads, visit kinetica.com or follow us on LinkedIn & Twitter.

Job Description

Kinetica is looking for a software engineer who is keen to excel & contribute in developing geospatial algorithms & tools for our enterprise data analytics platform.

Key responsibilities:

  • Collaboratewith the engineering teamto keep a consistent & intuitive product experience
  • Partner with the engineering group to help identify cohesive interaction model across components & propose key refinements to existing components to achieve cross-product experience alignment.
  • Provide strategic feedback on tooling landscape to help influence product direction.
  • Ensure the teamsagreed upon objectives are reached in a consistent & timely manner.
Qualifications
  • Computer Science, Engineering, mathematics or related technical discipline.
  • 5+ years of experience in C++.
  • Development experience in a Linux environment.
  • Comfortable with various tools (i.e. Git...)
  • Algorithmic mind.
  • Strong Math & geometry skills.

Nice to have:

  • Computational geometry knowledge.
  • Geospatial data science know-how.
  • Prior scientific programming experience.
Additional Information

All your information will be kept confidential according to EEO guidelines.

 
 
 
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