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Company

Original Job Post

NVIDIA · 2 days ago

Senior Deep Learning Software Engineer

Redmond, WA

Full-time

Onsite

Senior Level

$180K/yr - $339K/yr

4+ years exp

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Artificial Intelligence (AI)GPU

H1B Sponsorship

Growth Opportunities

Hiring Manager

Joshua Hasten

Insider Connection @NVIDIA

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Responsibilities

Develop production-quality software that ships as part of NVIDIA's AI software stack, including cutting edge large language model support.

Analyze the performance of important workloads, tuning current software, and proposing improvements for future software.

Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across various applications.

Adapt to the constantly evolving AI industry by contributing across the codebase, including API design, software architecture, testing, and GPU kernel development.

Mentor junior engineers on the team.

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.

C/C++ ProgrammingCUDA DevelopmentPythonLinear AlgebraMachine LearningSoftware Architecture DesignAlgorithmsData StructuresPerformance AnalysisCode OptimizationProject ManagementProblem SolvingIndependenceLeadershipGPU ProgrammingOptimizationCUDAOpenCLDeep LearningData ScienceStatistical AnalysisVisualizationCodebasesSoftware DevelopmentTechnology IntegrationProblem-SolvingTeamworkInnovation

Required

M.S. Degree in Computer Science, Electrical Engineering (or similar), or equivalent experience.

4+ years of relevant work or research experience.

Strong programming skills in C/C++ development, work experience with CUDA development, and familiarity with Python.

Good understanding of linear algebra.

Familiarity with the latest trends in machine learning, especially in large language models.

Experience designing high level software architecture.

Excellent problem solving skills, including applications of algorithms and data structures.

Experience with performance analysis, profiling, and code optimization.

Ability to work independently, define project goals and scope, and lead your own development effort.

Preferred

GPU programming and optimization expertise (e.g. CUDA or OpenCL).

Practical experience with machine learning, especially deep learning.

Strong Experience with data science, statistical analysis, and visualization.

Previous work on large complex codebases with many other developers, especially libraries, compilers, or system software.

Track record of identifying new technologies and incorporating them into software development flows.

Benefits

Equity

Company

NVIDIA

Glassdoor

4.6

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

Founded in 1993

Santa Clara, California, USA

10,001+ employees

https://www.nvidia.com

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)