Senior Developer Relations Manager - Manufacturing at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

ManufacturingIndustries

Requirements

Advanced degree or equivalent experience in Computer Science, Machine Learning, or related field
6+ years of hands-on experience in AI/ML
Strong focus on manufacturing or related field
Proficiency in PyTorch and/or TensorFlow, in optimizing models for GPU acceleration
Proven experience in working with system integrators, enterprise partners and startups on AI solution deployments
Strong customer/partner relationship skills
Strong programming skills in Python
Experience in developing and delivering technical training programs for partners

Responsibilities

Drive the VIA, Nemo and related NVIDIA’s generative AI solution adoption: implement the integration and deployment of NVIDIA’s software with strategic customers, system integrators, enterprise partners and startups
Lead strategic customer integration with cuLitho working closely with US product team
Lead customer integration with EA release software as a customer facing window working closely with product team in HQ
Making customer success stories and spreading them to the market with marketing activities
Develop Technical Demonstrations: Create compelling proof-of-value and benchmarks that illustrate the power of Issac capabilities in real-world scenarios
Technical Evangelism: Present NVIDIA manufacturing platform at high-profile industry events, partner workshops, and executive briefings
Building partner eco-system who utilize NVIDIA’s manufacturing platform

Skills

Key technologies and capabilities for this role

PythonPyTorchTensorFlowMachine LearningGPU AccelerationAI Model Optimization

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this role?

Salary is not specified in the job description, but highly competitive salaries are offered.

What are the key skills required for this position?

Requirements include an advanced degree in Computer Science, Machine Learning or related field, 6+ years of AI/ML experience with a focus on manufacturing, proficiency in PyTorch/TensorFlow for GPU optimization, strong Python programming skills, and experience with partners on AI deployments.

What benefits does NVIDIA offer?

NVIDIA offers highly competitive salaries and a comprehensive benefits package. More details are available at www.nvidiabenefits.com.

What does NVIDIA's company culture emphasize?

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.

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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