Senior Systems Engineer - Deep learning Benchmarks

Company: NVIDIA
Company: NVIDIA
Location: Poland, Remote
Commitment: Full time
Posted on: 2023-12-02 05:09
We are seeking a highly skilled and innovative Systems Engineer to join our team, focusing on building and developing brand new deep learning benchmarking platforms. This role is crucial in advancing our technological capabilities, as you will be instrumental in designing, implementing, and maintaining systems that accurately evaluate and benchmark deep learning algorithms and architectures.As a Systems Engineer in our dynamic environment, you will collaborate with a team of experts in deep learning, software development, and HPC libraries. Your work will not only contribute to the progress of deep learning technologies at NVIDIA but also set new standards in benchmarking performance and efficiency.Are you ready for this challenge? What you’ll be doing:Develop robust and scalable benchmarking platforms for deep learning workloadsTest the limits of the latest advances in acceleration in our next generation of hardwareUnderstand the behavior and performance of groundbreaking model architecturesWhat we need to see:MS degree in Computer Science, Artificial Intelligence, Computer Architecture or related technical field.5+ years of work experience in software development.Excellent Python programming knowledgeKnowledge of design patterns and software engineering principlesExposure to deep learning frameworks such as PyTorchExcellent interpersonal, and written communication skills requiredWays to stand out from the crowd:Background with cloud infrastructure and cloud scale softwareExperience in building web applications and dashboardsExperience in deep neural networks inference, benchmarking and deployment process would be an assetNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.#deeplearning
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