Job Title: CUDA DeveloperExperience: 5+ YearsMandatory Skills:CUDA (3+ years)C++ (5+ years)LLM (2+ years)Experience: 5+ years of relevant experience is mandatory.Opportunity: Full-time, 8 hours/day, with 4 hours overlap with PST (6 PM–11 PM IST mandatory; remaining 3 hours flexible).Notice Period: Immediate availability preferred.Position Overview:We are seeking an experienced CUDA Developer with strong expertise in parallel computing and performance optimization. The ideal candidate will analyze and enhance algorithm performance, optimize CUDA applications, and stay up-to-date with the latest advancements in parallel computing technologies. This role requires a highly skilled individual with a passion for performance tuning, algorithmic optimization, and contributing to innovative CUDA solutions.Key Responsibilities:Identify and resolve performance issues and bugs in CUDA-based applications.Optimize algorithms for efficient parallelization and performance enhancement.Collaborate with cross-functional teams to design and develop high-performance CUDA applications.Implement solutions to ensure the efficient use of hardware resources and achieve maximum performance.Stay updated with advancements in CUDA technologies, frameworks, and best practices.Work on the continuous improvement of existing applications, ensuring they remain cutting-edge in terms of performance.Perform extensive debugging and performance profiling to identify and eliminate bottlenecks.Required Qualifications:Bachelor's degree in Computer Science, Computer Engineering, or a related field.5+ years of software development experience, including at least 2+ years in CUDA development.Proven track record of optimizing applications to achieve high performance and scalability.Strong problem-solving skills and the ability to work both independently and in a collaborative environment.Excellent communication skills and a proactive approach to teamwork.Required Skills:Proficiency in C/C++ programming (5+ years).Expertise in CUDA development (3+ years), particularly with CUDA 12.0 or above (CUDA 12.3 preferred).In-depth knowledge of performance optimization techniques and writing resource-efficient code.Familiarity with performance libraries and frameworks like cuBLAS, cuDNN, etc.Experience in CUDA performance optimization, profiling, and debugging.Experience in designing and implementing parallel algorithms for real-time or large-scale computing systems.If you're a highly skilled CUDA developer with a passion for innovation, we'd love to have you on our team! To apply, share your profiles with us at aadhi.nandhini@ or abhirag.s@.
Job Title
CUDA Developer