Job
Description
Job Information Department Name Platforms & Compilers Job Type Full time Date Opened 25/04/2025 Industry Software Development Minimum Experience In Years 5 Maximum Experience In Years 10 City Chennai Province Tamil Nadu Country India Postal Code 600001 About Us MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators. MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently. We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help. Job Description We are seeking a highly skilled and experienced Senior Compiler and Workload Performance Analyst. As a Senior Performance Analyst, you will play a pivotal role in analyzing and optimizing the performance of the compiler infrastructure and workloads. In addition, you will provide technical leadership, guidance, and mentorship to performance analysis teams. Your expertise in compiler technologies, workload analysis, and team leadership will drive the efficient and effective performance optimization of the target software systems. Responsibilities: Lead and mentor a team of performance analysts, providing technical guidance, support, and feedback to maximize individual and team performance. Conduct performance analysis and evaluation of the target compiler infrastructure, identifying bottlenecks and areas for optimization across various workloads and usage scenarios. Utilize advanced performance profiling and monitoring tools to gather and analyze performance data, identifying performance hotspots and areas of inefficiency. Develop and implement advanced performance optimization techniques, including algorithmic improvements, code transformations, and workload-specific optimizations. Lead workload analysis efforts, including workload modeling, characterization, and performance evaluation, to assess the performance impact on the compiler infrastructure. Generate comprehensive performance reports and documentation, presenting findings, recommendations, and optimization strategies to stakeholders in a clear and concise manner. Stay updated on the latest advancements in compiler technologies, workload analysis methodologies, and performance optimization techniques, driving innovation within the performance analysis teams. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Extensive experience as a Compiler and Workload Performance Analyst or in a similar role, with a strong track record in performance analysis and optimization. Experience in leading and mentoring teams, providing technical guidance, and fostering a collaborative and high-performance culture. In-depth expertise in compiler technologies, including compiler optimization techniques, code generation, and compiler internals. Proficiency in using performance profiling and monitoring tools to gather and analyze compiler and workload performance data. Strong knowledge of workload analysis methodologies, including workload modeling, characterization, and performance evaluation. Familiarity with programming languages such as C/C++, familiarity with LLVM or GCC compiler frameworks, and expertise in performance optimization at the compiler level. Solid understanding of computer architecture, hardware-software interactions, and workload-specific performance considerations. Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex performance issues effectively. Attention to detail, a proactive mindset, and the ability to prioritize and manage multiple tasks and projects simultaneously
