System Software Engineer, Multi-Node Analysis

NVIDIA•Redmond, WA

2d•$152,000 - $241,500

About The Position

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.

Requirements

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 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.

Nice To Haves

Experience working with international teams.
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.

Responsibilities

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.
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.
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.