Job Description

Job Information

Department Name


Applied AI & Data Engineering
Job Type


Full time
Date Opened


17/11/2025
Industry


Software Development
Minimum Experience In Years


4
Maximum Experience In Years


8
City


Ramapuram
Province


Tamil Nadu
Country


India
Postal Code


600089

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.

Position Overview

We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in software development, with expertise in C/C++, Python, and other relevant programming languages. This role requires a deep understanding of CPU and GPU architectures, as well as experience with Linux system programming, GPU programming with CUDA/HIP, and performance optimization using AVX and SIMD. The successful candidate will also have experience with Docker and container orchestration tools.

Key Responsibilities

Software Development: Design, develop, and maintain high-performance software solutions using C/C++, Python, and other relevant languages. Linux System Programming: Develop and optimize software for Linux environments, ensuring robust and efficient system performance. GPU Programming: Utilize CUDA/HIP for GPU programming to enhance computational performance. Performance Optimization: Implement AVX and SIMD programming techniques to optimize software performance. Architecture Understanding: Apply in-depth knowledge of CPU and GPU architectures to develop efficient software solutions. Containerization: Use Docker and container orchestration tools to manage and deploy applications. Profiling and Tuning: Employ profiling tools and performance tuning techniques to identify and resolve performance bottlenecks. Vision Algorithms: Develop and optimize vision algorithms to meet project requirements. Codebase Management: Work with large codebases, ensuring code quality and maintainability. Open-Source Contributions: Contribute to open-source projects and maintain a portfolio on GitHub. Collaboration: Work closely with cross-functional teams to deliver high-quality software solutions. Problem-Solving: Utilize excellent problem-solving skills to address complex technical challenges. Communication: Communicate effectively with team members and stakeholders to ensure project success. Optional AI/ ML: Experience applying AI/ML techniques in production systems is a strong plus and can accelerate your growth into a senior AI-focused role, but only for candidates with exceptional SDLC and core software engineering skills.

Qualifications: Must have

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: 4+ years of professional experience in software development. Programming Skills: Strong proficiency in C/C++, Python, and other relevant programming languages. Linux System Programming: Proven experience with Linux system programming. Architectural Knowledge: Solid understanding of CPU and GPU architectures. Containerization: Experience with Docker and container orchestration tools. GPU Programming: In-depth knowledge of GPU programming with CUDA/HIP. Advanced C++ Skills: Advanced C++ skills and experience working with large codebases. Engineering Practices: Follow strong SDLC practices including design reviews, code reviews, automated testing, CI/CD, and documentation Problem-Solving: Excellent problem-solving skills and attention to detail. Communication: Strong communication and teamwork abilities.

Good to have

Performance Optimization: Expertise in AVX and SIMD programming for performance optimization. Experience with Parallel Programming/HPC - OpenMP, MPI Profiling and Tuning: Familiarity with profiling tools and performance tuning techniques. Vision Algorithms: Experience with vision algorithms and optimizations. Open-Source Contributions: Contributions to open-source projects and a portfolio on GitHub. * Machine Learning: Exposure to machine learning concepts and applications is a plus.