Senior Deep Learning Frameworks Sustaining Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Bachelor's of Science in Computer Science, Deep Learning, Artificial Intelligence, Applied Math, or related field or equivalent experience
5+ years of relevant software development experience
Excellent C/C++ programming and software design skills, including debugging and open source integration
Python experience
Utilizing tools involved in building software (Make, Docker, Bazel), packaging systems (Debian, pip, npm, etc.), Build Systems (Gitlab, CI/Jenkins)
Prior experience with machine learning algorithms and frameworks (TensorFlow, PyTorch, or MXNet)
Ability to work independently, contribute to the stability of releases, and effectively communicate status to those involved in the release in a detail-oriented way

Responsibilities

Back-porting changes from the mainline branch
Keeping track of open source dependency changes
Ensuring the latest stable dependencies are being used for enterprise products
Actively contributing changes to the team to support timely Long Term Support releases for TensorFlow, PyTorch, TensorRT products
Fixing customer reported bugs
Integrating bug fixes found in mainline
Working with other teams to ensure open source dependencies are patched for security vulnerabilities to address the needs of NVIDIA AI Enterprise business subscribers

Skills

Key technologies and capabilities for this role

C++PythonDockerBazelMakeTensorFlowPyTorchTensorRTCUDAOpenCLGitLabJenkinsDebianpip

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered with this role?

You will be eligible for equity and benefits in addition to base salary.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Deep Learning Frameworks Sustaining Engineer role?

Required skills include a Bachelor's in Computer Science or related field, 5+ years of software development experience, excellent C/C++ programming and software design skills including debugging and open source integration, Python experience, utilizing build tools like Make/Docker/Bazel and systems like Gitlab/CI/Jenkins, and prior experience with ML frameworks like TensorFlow or PyTorch.

What makes a candidate stand out for this role at NVIDIA?

Candidates stand out with GPU programming experience (CUDA or OpenCL), experience contributing to or managing large open source projects including GitHub and bug tracking, and familiarity with Gitlab CI pipelines. NVIDIA seeks creative and autonomous individuals.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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