Our team has an immediate 4-month internship opening for an engineer.
Responsibilities:
- Assist in development of our sparse linear solvers
- Apply your parallel and high performance computing knowledge to improve performance of various modules
- Assist in profiling, bottleneck analysis, testing and validation
- Assist in identifying sources of non-determinism (for example, due to parallel execution or floating-point operations) and propose efficient solutions
- Collaborate and communicate with team members to ensure smooth integration with the larger project
The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $116,480 depending on education, experience and demonstrated expertise
What you’ll bring to the team:
- Bachelor's, Master's or PhD degrees in Computer Science or relevant backgrounds or equivalent experience
- Solid foundation of linear algebra and matrix computation
- Experience with BLAS/LAPACK and well-known Sparse Linear Solvers is an asset
- Experience in programming in C/C++
- Experience in parallel programming with OpenMP
- Familiarity with some performance profiling tools
- Code, algorithm and/or low-level optimization experience is an asset