Senior Performance Analysis Engineer
NVIDIA
full-time
Posted on:
Location Type: Office
Location: Yokneam • 🇮🇱 Israel
Visit company websiteJob Level
Senior
Tech Stack
LinuxPythonPyTorchTensorflow
About the role
- Profile and analyze AI workloads on large GPUs and CPUs scale clusters for distributed Deep Learning LLM training
- Develop performance analysis tools and methodologies
- Explore and research AI workloads and DL models
- Benchmarking, Profiling, and Analyzing performance to find bottlenecks
- Collaborating with many teams from hardware to software to provide performance analysis insights
Requirements
- B.Sc. in Computer Science or Software Engineering or equivalent experience
- 5+ years of experience with high-performance Networking (RDMA, MPI, NCCL, Congestion Control Algorithms)
- Demonstrated Performance Analysis skills and methodologies
- Experience with NVIDIA GPUs, CUDA library, deep learning frameworks like TensorFlow or PyTorch
- Fast and self-learning capabilities with strong analytical and problem-solving skills
- Programming Languages: Python, Bash and C languages
- Experience with Linux OS distros
Benefits
- Comprehensive benefits package
- Health insurance
- Flexible working hours
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
performance analysisdeep learningbenchmarkingprofilingPythonBashCNVIDIA GPUsCUDATensorFlow
Soft skills
analytical skillsproblem-solvingself-learningcollaboration
Certifications
B.Sc. in Computer ScienceB.Sc. in Software Engineering