Senior Software Engineer - CPU and GPU architectures/CUDA/C++

Job Description

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.