About this System Software Engineer, Multi-Node Analysis role at NVIDIA
NVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative and unique ways to improve our ability to deliver extraordinary 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 Software Development 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 will be doing:
This position will be enhancing and expanding advanced analysis tools for our system-wide profiling tools. Implementation will be primarily in Python, with a strong need for C++ from time to time. 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.
Partner with system architects, product definition engineers, software/firmware engineers, HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.
Be involved with the premiere multi-discipline GPU+CPU+networking profiling tool in the industry. You will have the opportunity to work with researchers and real world developers who are doing important work to improve computers and computing systems.
Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Enable work in tiny embedded and automotive systems. Our tools span the gamut.
What we need to see:
BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience).
Minimum of 5 years of service in a related hardware/software position.
Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.
Experience creating complex analysis solutions for large data systems. This can include both classic HPC and cloud computing environments as well as large data sets from non-network cases.
Ways to stand out from the crowd:
Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.
Understanding of the intricacies of large scale data systems and data handlers. Experience with multiple data handling packages. Familiarity with Arrow/Parquet, Pandas DataFrames, and ClickHouse of particular interest.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
