NVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative ways to improve our ability to deliver outstanding solutions across a wide range of sectors. We are seeking System Software Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. In the Developer Tools Team, we enable 1st & 3rd-party developers to turn NVIDIA's hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions.
What you'll be doing:
- Your day-to-day work will be coding, primarily in C/C++ with some Python. You'll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions.
- Integrate with machine learning frameworks for the industry's premiere multi-discipline GPU+CPU+networking profiling tool. You will have the opportunity to work with people across academia and industries improving applications and optimizing computing resource utilization.
- Generate statistics, graphs, and views representative of key machine learning performance characteristics. You will enable engineers and scientists to accomplish ground-breaking work faster than ever before.
- Partner with framework/library/driver engineers and solutions architects, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.
What we need to see:
- BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience).
- Real life professional experience in distributed computing is required. We are looking for a minimum of 5 years with a BS or 2 years with an MS degree.
- Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.
- An understanding of machine learning frameworks.
- Strong C/C++ knowledge required.
- Familiarity with computer algorithms, object-oriented programming, data structures, and design patterns. Ability to divide sophisticated problems into simple sub problems and then reuse available solutions to implement the solutions.
Ways to stand out from the crowd:
- Experience with multiple machine learning frameworks PyTorch, TensorFlow, JAX, XLA, Triton Inference Server, TensorRT, ONNX, etc.
- Experience with multiple cloud providers, including Amazon AWS, Oracle OCI, Google GCP, Microsoft Azure, Meta, Tencent, Baidu, or ByteDance.
- Strong Python programming skills & experience with NumPy.
- Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems.
- Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our diverse team of talented, capable, and professional people is our greatest asset! 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 $144,000 - $270,250. 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 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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