NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing solving the world’s most complicated problems in the field of HPC and Scientific Computing. Extending the power of HPC and AI from the data center to the edge can be transformative for the field of science and discovery. Be it particle accelerators, electron microscopes, or radars, high-fidelity sensors have resulted in an exponential increase in data which require supercomputing-like capabilities right next to the sensors streaming data.NVIDIA® Holoscan is a domain-agnostic AI computing platform for building GPU-accelerated applications for computational instruments ranging from microscopes to telescopes to enable discoveries and insights in real-time. As an Applications Engineer, you will focus on accelerating the adoption of Holoscan across multiple domains and industries, working alongside product teams and leading pioneers in building AI-accelerated sensor processing applications. Do you enjoy developing real-time data processing applications, infusing them with AI and connecting them to an AI supercomputer? Do you find it rewarding being the computational and AI problem solver for the top scientists and researchers? If converting a small proof of concept into an inspiring solution for the larger community is exciting, we want to hear from you and be part of NVIDIA team.What you’ll be doing:Work directly with a customer or developer on porting or interfacing their application to HoloscanProfile the application and run benchmarks to show the product’s value propositionBuild examples or sample applications for tutorialsCollaborate with domain experts on whitepapers and with marketing on blog postsParticipate and present in workshopsWhat we need to see:5+ years in building real-time sensor processing applications with a strong technical focus in a particular domain (scientific computing, instrumentation, test & measurement, defense)A bachelor’s degree in electrical engineering, computer science, or equivalent experienceProficiency in Python and C/C++Proven experience in building AI inferencing applications using PyTorch or TensorflowFamiliarity with scientific computing tools like MATLAB, LabView, or SciPySpectacular written, verbal, and visual communication skills with an entrepreneurial spiritWays to stand out from the crowd:Master’s degree in electrical engineering, computer science, or equivalent experienceHands-on experience building GPU-based real-time applications including handling high bandwidth and low-latency I/OFamiliarity with Slurm or KubernetesContributions to open-source software projectsWith competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!The base salary range is 118,400 USD - 189,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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