Software Engineer, Nsight Systems Machine Learning @ NVIDIA | Jobright.ai
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NVIDIA · 2 days ago

Software Engineer, Nsight Systems Machine Learning

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Responsibilities

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.
Enable modern data science computational frameworks on 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.
Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable sophisticated, modern computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Our tools are used to optimize systems that span the gamut from embedded systems to the largest of supercomputers.
Work directly with HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Distributed ComputingJAXPyTorchDeep LearningMachine LearningC/C++Computer AlgorithmsObject Oriented ProgrammingData StructuresDesign PatternsProblem SolvingCollaborativeInterpersonalNumPyPandasData SciencePythonMonitoringProfilingOptimizationEngineering DesignsProblem-SolvingTeamwork

Required

BS or MS in EE, CE, CS, or Systems Engineering (or equivalent experience)
2+ years real life professional experience in distributed computing is required
Should have experience with JAX, PyTorch, or other deep learning or machine learning frameworks
Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred
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

Preferred

Experience with data transformation libraries, such as NumPy and Pandas. Strong background in machine learning and data science concepts
Strong Python programming skills
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

Benefits

Equity

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2017-05-24Post Ipo Equity· $4B

Leadership Team

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Chris Malachowsky
Co-Founder, SVP
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase
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