5 - 10 years
5 - 10 Lacs
Posted:3 weeks ago|
Platform:
On-site
Full Time
General Summary: Whats in it for youQualcomm is enabling a world where everyone and everything can be intelligently connected. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. Youll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.Qualcomm engineering teams rely heavily on the latest High Performance Computing (HPC) technologies to design and develop new products using electronic design automation (EDA) tools. This role provides an opportunity to work on the latest 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.What are we looking forEngineering Software Solutions and Data Services team (ESSDS) is looking for an experienced software developer with strong HPC background. The ESSDS team is responsible for development of software solutions enabling High Performance Compute grid and large-scale, distributed, analytical applications. They work on components and services for HPC infrastructure optimization, hardware IP management systems, petabyte-scale cloud data platforms and development of machine learning solutions and pipelines.This is an individual contributor technical role providing subject matter expertise (SME) across the portfolio of HPC software products and services being developed by ESSDS team. The ideal candidate would be a seasoned software developer who is skilled in many of the following areas: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.What will you doThis roles responsibilities include:- 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 developersWhat do we want to seeThe ideal candidate will be able to demonstrate some of the following skills:- 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.- Bachelors or Masters in Computer Science, Computational Science or related field Minimum Qualifications: 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 Bachelors 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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