Backend Engineer

OmniSci   •  

Vancouver, WA

Industry: Information Technology

  •  

5 - 7 years

Posted 64 days ago

This job is no longer available.

OVERVIEW:

OmniSci is seeking a Backend Engineer to add to its software development team. As a Backend Engineer, you will work closely with a dedicated team of Backend Engineers building the best modern, cutting-edge GPU-based platform on the market. You should have solid C++ development skills to bring to the table, as well as experience with CUDA. Previous experience with analytics engines is a huge plus. Key to this role is being self-motivated and a self-starter, as well as a strong passion for high performance computing with a heavy performance engineering focus.

We're big fans of hiring people who are not just great at what they do but also how they do it. Critical to our culture is building and maintaining a team that works well together and knows how to communicate effectively - not just within their own team, but also across peripheral teams.

Your success in this role will be predicated on your ability to prioritize your work, be self-motivated and a self-starter, to speak up early and often, and to work well with others. You should be passionate about building great software, and about building a product that is slated to revolutionize the world of data analytics across multiple industries. We're great at encouraging our people to learn different technologies, continue their professional growth, and try out new ways of doing things. We're in it for the long-haul, and you should be too.

Responsibilities:

  • Design, develop and maintain code enhancements in the MapD Core Data Engine.

Qualifications:

  • BS or higher degree in Computer Science or equivalent work experience.
  • A minimum of 5 years C++ development experience, ideally with some exposure to GPU programming using LLVM or CUDA
  • A passion for high-performance computing
  • Working knowledge of SQL

Bonuses:

  • Familiarity with one or more of statistics, distributed systems or geospatial
  • Experience with data analytics and/or analytics engines
  • Willingness to learn about new technologies