Research Team Lead

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 strong master’s degree in computer science
• 3+ years of experience as a team leader in a technology company or startup
• Ability to expertly manage projects using Scrum and Agile methodologies
• Experience with team building and employee growth programs
• Proven research skills
• Excellent software development capabilities
• Familiarity with programming languages and Agile methodologies
• Experience with graph theory, code analysis, LLVM infrastructure, algebraic graph theory: an advantage
• Creative problem-solving skills
• Excellent communication skills
• Ability to work independently and in a team
  
  

• Head one of our research teams, overseeing day-to-day tasks, setting goals, conducting performance reviews, and tackling other emerging challenges
• Lead collaborations with cross-functional teams
• Set expectations with software, architecture, and hardware stakeholders
• Act as a technical leader when design directions are unclear
• Conduct experiments and research in innovative directions in computing and mathematics
• Work on mathematical computations and algorithms
• Explore innovative directions in graph theory, clustering, and their applications in developing a pioneering architecture for a general-purpose coprocessor
• Analyze data and apply machine learning techniques
• Contribute to technical blogs and scientific publications
• Strengthen and grow the team by hiring and retaining top research engineer talent