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Urgent! Senior Infrastructure Software Engineer, Deep Learning Libraries Job Opening In Santa Clara – Now Hiring NVIDIA
We are now looking for a Senior Infrastructure Software Engineer for Deep Learning Libraries!
NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA’s highest performing deep learning libraries.
The role spans multiple products, including cuDNN (https://developer.nvidia.com/cudnn) , TensorRT (https://developer.nvidia.com/tensorrt) , and CUDA kernel libraries.
The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and tests across NVIDIA’s diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models.
Join our technically diverse team of software engineers and infrastructure experts to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms.
What you'll be doing:
+ Designing and developing software for testing and analysis of our codebases
+ Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries
+ Developing throughout the software stack, from the user experience and user interfaces down to the cluster and database layers
+ Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc.)
+ Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies
+ Advancing the state of the art in those industry-standard tools
What we need to see:
+ A Masters Degree in Computer Science or Computer Engineering or equivalent experience.
+ 3+ years of relevant experience
+ Strong programming skills in Python (or similar) and familiarity with C/C++ development
+ Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins, GitHub Actions, GitLab pipelines, Azure DevOps)
+ Experience in HTML5, CSS, NodeJS, or React
+ Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)
+ Background with distributed systems and cluster/cloud computing, especially with Kubernetes
Ways to stand out from the crowd:
+ Prior experience designing and developing automation in Jenkins with Groovy (or similar)
+ Track record of identifying useful new technologies and incorporating them into SW development flows
+ A strong understanding of unit and integration test frameworks and experience with crafting them
+ Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)
This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many AI/DL/Compute Software projects.
Are you creative, driven, and autonomous?
Do you love a challenge?
If so, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until September 6, 2025.
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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Unlock Your Senior Infrastructure Potential: Insight & Career Growth Guide
Real-time Senior Infrastructure Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Infrastructure in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 190282 jobs in United States and 2270 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Infrastructure roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior Infrastructure Software Engineer, Deep Learning Libraries to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Infrastructure Software Engineer, Deep Learning Libraries Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Infrastructure Software Engineer, Deep Learning Libraries typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior Infrastructure Software Engineer, Deep Learning Libraries interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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