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

As a Senior Software Engineer at our company, your role will involve designing, developing, and maintaining high-performance software solutions using C/C++, Python, and other relevant languages. You will be responsible for developing and optimizing software for Linux environments, ensuring robust and efficient system performance. Utilizing CUDA/HIP for GPU programming and implementing AVX and SIMD programming techniques to optimize software performance will also be key aspects of your responsibilities. Additionally, you will apply your in-depth knowledge of CPU and GPU architectures to develop efficient software solutions and use Docker and container orchestration tools to manage and deploy applications. Key Responsibilities: - Design, develop, and maintain high-performance software solutions using C/C++, Python, and other relevant languages. - Develop and optimize software for Linux environments to ensure robust and efficient system performance. - Utilize CUDA/HIP for GPU programming to enhance computational performance. - Implement AVX and SIMD programming techniques to optimize software performance. - Apply in-depth knowledge of CPU and GPU architectures to develop efficient software solutions. - Use Docker and container orchestration tools to manage and deploy applications. - Employ profiling tools and performance tuning techniques to identify and resolve performance bottlenecks. - Develop and optimize vision algorithms to meet project requirements. - Work with large codebases, ensuring code quality and maintainability. - Contribute to open-source projects and maintain a portfolio on GitHub. - Collaborate closely with cross-functional teams to deliver high-quality software solutions. - Utilize excellent problem-solving skills to address complex technical challenges. - Communicate effectively with team members and stakeholders to ensure project success. Qualifications: Must have - Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Experience: 4+ years of professional experience in software development. - Strong proficiency in C/C++, Python, and other relevant programming languages. - Proven experience with Linux system programming. - Solid understanding of CPU and GPU architectures. - Experience with Docker and container orchestration tools. - In-depth knowledge of GPU programming with CUDA/HIP. - Advanced C++ skills and experience working with large codebases. - Follow strong SDLC practices including design reviews, code reviews, automated testing, CI/CD, and documentation. - Excellent problem-solving skills and attention to detail. - Strong communication and teamwork abilities. Good to have - Expertise in AVX and SIMD programming for performance optimization. - Experience with Parallel Programming/HPC - OpenMP, MPI. - Familiarity with profiling tools and performance tuning techniques. - Experience with vision algorithms and optimizations. - Contributions to open-source projects and a portfolio on GitHub. - Exposure to machine learning concepts and applications is a plus.,