Software Engineer

5 days ago

Bengaluru, Karnataka, India beBeeHighPerformance Full time ₹ 15,00,000 - ₹ 28,00,000

Transformative Computing Solutions

Overview:

The role provides an opportunity to work on the latest High Performance Computing (HPC) technologies and gain experience in building scalable and fault-tolerant software solutions that are deployed on some of the largest supercomputing infrastructures across the globe.

This individual contributor technical position involves providing subject matter expertise (SME) across the portfolio of HPC software products and services being developed. The ideal candidate would be a seasoned software developer who is skilled in many areas including cluster infrastructure management, job scheduling and orchestration, parallel programming, performance tuning and optimizations, efficient algorithms and data structures, compute/storage/network architectures, cloud computing, GPU computing, and EDA workflows.

Responsibilities:

  • Design and develop software solutions and services for HPC infrastructure running EDA workflows and AI workloads
  • Identify opportunities and deliver solutions for EDA workflow optimizations
  • Provide HPC expertise across portfolio of projects, guiding and mentoring a team of software developers as needed
  • Execute projects in partnership with global Engineering IT teams
  • Manage and track the software development process from development to production release in collaboration with other software developers

Requirements:

  • 10+ years of hand-on experience in developing software solutions for HPC grid infrastructure
  • Broad knowledge of latest compute, storage and networking architectures
  • Experience of building HPC infrastructure in public cloud environments such as AWS, Azure or Google Cloud
  • Proven expertise in parallel and distributed programming, GPU computing and performance engineering
  • Proficiency in programming languages such as Python, C++, Java, Rust
  • Deep understanding of HPC job schedulers such as LSF, Slurm and PBS
  • Familiarity with EDA and semiconductor design process
  • Exposure to AI and ML workloads running on HPC infrastructure
  • Expertise in software lifecycle management, version control, and CI/CD best practices for quality, agility and security
  • Ability to explain technical concepts and analysis implications in a clear manner to a wide audience

Qualifications:

  • Bachelor's or Master's in Computer Science, Computational Science or related field
  • 5+ years of IT-relevant work experience with Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems)
  • OR 7+ years of IT-relevant work experience without a Bachelor's degree
  • 4+ years of work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.)
  • 3+ years of work experience with Data Structures, algorithms, and data stores

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