Software Architect

Role Overview: As a Software Architect at Applied Materials, you will have the opportunity to grow in the field of high-performance computing, complex system design, and low-level optimizations for better cost of ownership. You will be responsible for designing and implementing high-performance computing software solutions for the organization, working closely with cross-functional teams to translate requirements into architectural/software designs, coding and developing quick prototypes, and providing guidance to software engineers. Your primary focus will be on ensuring that the software systems are scalable, reliable, maintainable, and cost-effective. Key Responsibilities: - Design and implement high-performance computing software solutions - Collaborate with cross-functional teams to understand requirements and translate them into architectural/software designs - Code and develop quick prototypes to establish designs with real code and data - Unblock software engineers in the HPC domain - Profile systems to understand bottlenecks, optimize workflows and code, and improve cost of ownership - Conduct technical reviews and provide guidance to software engineers - Identify and mitigate technical risks and issues throughout the software development lifecycle - Evaluate and recommend appropriate technologies and frameworks - Lead the design and implementation of complex software components and systems - Mentor and coach junior software architects and engineers - Ensure software systems are scalable, reliable, and maintainable Qualifications Required: - 7 to 15 years of experience in Design and coding in C/C++, preferably in Linux Environment - Very good knowledge of Data structure and Algorithms and complexity analysis - Experience in developing Distributed High-Performance Computing software using Parallel programming frameworks like MPI, UCX, etc. - In-depth experience in Multi-threading, Thread Synchronization, Interprocess communication, and distributed computing fundamentals - Very good knowledge of Computer science fundamentals like Operating systems internals (Linux Preferred), Networking, and Storage systems - Experience in performance profiling at the application and system level - Experience in low-level code optimization techniques - Experience in GPU programming - Familiarity with microservices architecture and containerization technologies - Excellent problem-solving and analytical skills - Strong communication and collaboration abilities - Ability to mentor and coach junior team members - Experience in Agile development methodologies Education: Bachelor's Degree or higher in Computer science or related Disciplines Additional Details: - Experience in HPC Job-Scheduling and Cluster Management Software (SLURM, Torque, LSF, etc.) - Good knowledge of Low-latency and high-throughput data transfer technologies - Good Knowledge of Workflow orchestration Software (Note: The additional information section has been omitted as it did not contain any relevant information for the job description.),