Orthopaedic Consultant Ang Placement And Staffing Solutions

1.0 - 6.0 years

25 - 40 Lacs

Sanchore, Katni, Shahdol

Work from Office

Dear Applicants , We have excellent opportunities for freshers & experienced of "Orthopaedic Consultant " in Various Super & Multi Specialty Hospital and Diagnostic Center of Various with good Package & Accommodation + Incentive. JOB DESCRIPTION:- Designation: Orthopaedic Consultant Qualification: MBBS- DM/DNB/MS/MD Experience: 2 - 10 Year Key Skills: Fracture Repair , Joint Replacement Surgery , Arthroscopy , Ligament and Tendon Repair , Spinal Surgery , Hand and Wrist Surgery , Foot and Ankle Surgery , Sports Medicine Procedures , Orthopedic Trauma Surgery , Osteotomy , Tumor Resection , Amputations. Current package: Upto -(40 LPA) Location: Chhattisgarh - Nawapara (Rajgarh) Madhya Pradesh - Bhensoda, Katni, Shahdol Rajasthan - Jhalawar, Dhorimana, Sanchore Please contact for further discussion. Also kindly share your updated resume mention your preferred location & current CTC on Mail Id: jobs@angplacement.in We do not charge any consultancy charges from candidates. Thanks & Regards, Mr. Jagdish Teli Managing Director 9993872666/ 7000476894 Ang Placement And Staffing Solutions

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GPU Programming Engineer Multicoreware

3 - 5 years

15 - 30 Lacs

Chennai, Coimbatore

Hybrid

Job Summary 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. Key Responsibilities Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization. Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs. Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability. Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions. Required Qualifications Bachelor's or master's degree in computer science, Electrical Engineering, or a related field. 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs. Strong understanding of GPU architecture, memory hierarchy, and parallel programming models. Proficiency in C/C++ and hands-on experience developing on Linux-based systems. Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto. Preferred Qualifications Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries.

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