Compute Kernels Engineer

Voltron Data is an early-stage company creating high-performance data access and in-memory computing tools based on Apache Arrow to accelerate enterprise data analytics. We are a collection of open-source maintainers who have been driving open-source ecosystems over the last 15 years, particularly in the C++, Python, and R programming ecosystems.

We are assembling a global, diverse team to build a new foundation for data analytics with Apache Arrow. This foundation will usher in a wave of innovation in data processing that can take full advantage of the speed and efficiency offered by modern hardware.

We are looking for a highly motivated Compute Kernels Engineer to join Voltron Data’s team. On the team, you’ll have the opportunity to help support and grow the Voltron Data and Apache Arrow ecosystems. You will work closely with Voltron Data development teams to help implement high-performance data analytics computational primitives.

What you will be working on:

Below is a rough timeline of where you can expect to be at different points during your career path starting in this position.

Upon joining:

• • Spending time learning about the Apache Arrow memory layout, compute primitives, and APIs
  • Spending time with C++ / performance mentors to learn more about performant kernel implementation.
  • Learning and embracing the Apache development process

Within a month:

• • Implementing and improving currently existing computational Kernels in Apache Arrow
  • Fixing bugs and writing unit tests for the computational kernels we are developing
  • Focusing on growing knowledge about arrow code base and learning more about low level optimizations

Within 6 months:

• • Helping implement support for multiple platforms with compute kernels (Linux, MacOS, and Windows)
  • Working on Kernel optimizations

Within 12 months:

• • Participating in technical discussions and contributing to technical design documents
  • Participating in the code review process through reviewing and iterating with others

Previous experience that could be helpful:

• • Building libraries in C++, especially using Modern C++
  • Using and/or building performance portability libraries on accelerator hardware
  • Building distributed algorithms and libraries
  • Building libraries that target network acceleration hardware
  • Building throughput optimized, IO-intensive libraries and/or applications

Benefits

• Work from Anywhere – Payroll and Benefits in 150+ Countries

• Unlimited PTO

• Medical, Dental, and Vision

• Retirement [USA Only]

• Home Office Budget

• Continuing Education Budget

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.