Algorithm Engineer

NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.

At NextSilicon, everything we do is guided by three core values:

• Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
• Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
• Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.
  
  

• Ph.D. or a strong Master’s 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.
  
  

• 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.