We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.
Responsibilities
Conduct cutting-edge research and experiments in computing and mathematics.
Develop and optimize mathematical algorithms and computations.
Explore new approaches in graph theory, clustering, and related fields to advance a pioneering general-purpose coprocessor architecture.
Analyze data and apply machine learning techniques to improve performance and insights.
Contribute to technical blogs, whitepapers, and scientific publications.
Collaborate with cross-functional teams to translate research into practical solutions.
Responsibilities
Conduct cutting-edge research and experiments in computing and mathematics.
Develop and optimize mathematical algorithms and computations.
Explore new approaches in graph theory, clustering, and related fields to advance a pioneering general-purpose coprocessor architecture.
Analyze data and apply machine learning techniques to improve performance and insights.
Contribute to technical blogs, whitepapers, and scientific publications.
Collaborate with cross-functional teams to translate research into practical solutions.
Requirements:
Ph.D. or a strong Masters degree (or equivalent industry experience) in computer science or a related discipline.
Proven research abilities and a history of innovative work.
Solid software development experience, spanning engineering practices and algorithmic thinking.
Strong Python proficiency and comfort with modern programming languages.
Familiarity with agile development workflows.
Background in graph theory, code analysis, LLVM infrastructure, or SAT solvers is a plus.
Sharp analytical skills and an aptitude for solving complex problems.
Clear and effective written and verbal communication.
Able to thrive both independently and within a collaborative team.
Ph.D. or a strong Masters degree (or equivalent industry experience) in computer science or a related discipline.
Proven research abilities and a history of innovative work.
Solid software development experience, spanning engineering practices and algorithmic thinking.
Strong Python proficiency and comfort with modern programming languages.
Familiarity with agile development workflows.
Background in graph theory, code analysis, LLVM infrastructure, or SAT solvers is a plus.
Sharp analytical skills and an aptitude for solving complex problems.
Clear and effective written and verbal communication.
Able to thrive both independently and within a collaborative team.
This position is open to all candidates.
