Principal High Performance Computing Engineer

Our client is an innovative cloud software start-up, that is pushing the boundaries of high-performance computing (HPC). They specialize in developing cutting-edge solutions that enable their clients to perform complex computations and data processing at unprecedented speeds.

As a key member of their engineering team, you will play a pivotal role in shaping the future of cloud-based HPC.

Job Description :

They are seeking a highly skilled and experienced Principal High Performance Computing Engineer to lead the development and optimization of our HPC solutions.

In this role, you will design, implement, and optimize high-performance algorithms and software, ensuring the efficient use of computing resources in a cloud environment.

Your expertise will be critical in driving performance improvements and ensuring our solutions meet the highest standards of scalability, reliability, and efficiency.

Key Responsibilities :

• Lead the design and development of high-performance computing applications and algorithms in C++.
• Optimize and parallelize existing code to improve performance and scalability on cloud infrastructure.
• Collaborate with cross-functional teams to integrate HPC solutions into our cloud platform.
• Conduct performance profiling, tuning, and benchmarking of applications.
• Stay current with the latest advancements in HPC and cloud computing technologies and incorporate them into our products.
• Mentor and provide technical guidance to junior engineers.
• Contribute to the architecture and design decisions of the overall HPC platform.
• Troubleshoot and resolve complex technical issues related to HPC systems and applications.

Qualifications :

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field; PhD is a plus.
• 8+ years of experience in high-performance computing and software development with a strong focus on C++.
• Proven experience in optimizing and parallelizing code for multi-core and distributed systems.
• In-depth knowledge of HPC architectures, including CPUs, GPUs, and memory hierarchies.
• Experience with performance profiling and tuning tools.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and their HPC offerings.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Excellent communication and leadership skills.

Preferred Qualifications :

• Experience with other programming languages such as Python or CUDA.
• Knowledge of parallel programming models and libraries (e.g., MPI, OpenMP, CUDA).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Background in developing software for scientific computing, simulations, or large-scale data processing.

Why Join Us :

• Be part of a dynamic and innovative start-up environment.
• Work on groundbreaking technologies that make a real impact.
• Competitive salary and equity package.
• Comprehensive benefits including health, dental, and vision insurance.
• Opportunities for professional growth and development.
17 days ago