Our team has an immediate 4-month internship opening for an engineer. \n
Responsibilities: \n
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\n
The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $116,480 depending on education, experience and demonstrated expertise\n
What you’ll bring to the team:\n
\n
Bachelor's, Master's or PhD degrees in Computer Science or relevant backgrounds or equivalent experience
Strong 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","employmentType":"INTERN","hiringOrganization":{"@type":"Organization","logo":"https://careers.recruiteecdn.com/image/upload/production/images/Ak1b/uZt-2vioPmqZ.png","name":"Huawei Technologies Canada Co., Ltd."},"identifier":{"@type":"PropertyValue","name":"Huawei Technologies Canada Co., Ltd.","value":1845412},"jobLocation":[{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"CA","addressLocality":"Vancouver","addressRegion":"BC","postalCode":"V5C 6S7","streetAddress":"4321 Still Creek drive "}}],"jobLocationType":"TELECOMMUTE","title":"Intern Engineer - Mathematical Optimization Software","validThrough":null}
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
Job requirements
What you’ll bring to the team:
Bachelor's, Master's or PhD degrees in Computer Science or relevant backgrounds or equivalent experience
Strong 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
