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Urgent! MulticoreWare - GPU Engineer - CUDA/OpenGL Job Opening In Chennai – Now Hiring MulticoreWare Inc.
<p>Job Summary :<br/><br/>We are seeking an experienced GPU Programming Engineer to join our team.
In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high-performance machine learning workloads.
The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration.<br/><br/>Key Responsibilities :<br/><br/>- Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL.<br/><br/>- Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization.<br/><br/>- Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs.<br/><br/>- Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability.<br/><br/>- Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions.<br/><br/>Required Qualifications :<br/><br/>- Bachelor's or master's degree in computer science, Electrical Engineering, or a related field.<br/><br/>- 2+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs.<br/><br/>- Strong understanding of GPU architecture, memory hierarchy, and parallel programming models.<br/><br/>- Proficiency in C/C++ and hands-on experience developing on Linux-based systems.<br/><br/>- Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto.<br/><br/>Preferred Qualifications :<br/><br/>- Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries.</p> (ref:hirist.tech)
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Unlock Your MulticoreWare GPU Potential: Insight & Career Growth Guide
Real-time MulticoreWare GPU Jobs Trends in Chennai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for MulticoreWare GPU in Chennai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 183 jobs in India and 15 jobs in Chennai. This comprehensive analysis highlights market share and opportunities for professionals in MulticoreWare GPU roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! MulticoreWare Inc. is currently hiring and seeking a MulticoreWare GPU Engineer CUDA/OpenGL to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at MulticoreWare Inc. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a MulticoreWare GPU Engineer CUDA/OpenGL Jobs India varies, but the pay scale is rated "Standard" in Chennai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for MulticoreWare GPU Engineer CUDA/OpenGL typically include Engineers and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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