[Remote] Production Application Engineer at NVIDIA

Mexico

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Technology, AI, Hardware ManufacturingIndustries

Requirements

Bachelor’s degree in Electrical Engineering, Computer Science, Industrial Engineering, or equivalent experience
3+ years of experience in a hardware system engineering, production engineering or manufacturing engineering role
Strong understanding of manufacturing processes, including assembly, test, and quality control
Excellent problem-solving skills and a methodical approach to root cause analysis
Strong communication, interpersonal, and presentation skills
Ability to work independently and manage multiple priorities in a dynamic, high-pressure environment
Ability to travel domestically and/or internationally (50-75%)

Responsibilities

Lead debug test configuration and flow, driving efficient failure analysis (FA) and issue triage (e.g., manufacturing defects, yield issues, bonepile recovery)
Assist partners in achieving Production Key Performance Indicators (KPIs)
Oversee L6, L10 & L11 server production readiness
Drive and validate ODM production readiness for L10 and L11 phases
Serve as the primary technical point of contact for ODMs on L10 and L11 Production

Skills

Key technologies and capabilities for this role

GPUproduction engineeringfailure analysisyield optimizationmanufacturing processesdebuggingtest configurationODM managementserver productionKPIsprocess improvementdatacenter technologies

Questions & Answers

Common questions about this position

What is the salary or compensation for this Production Application Engineer role?

NVIDIA offers highly competitive salaries for this position.

Is this Production Application Engineer role remote or onsite?

The role supports our factory in Guadalajara and requires the ability to travel domestically and/or internationally (50-75%).

What skills are required for the Production Application Engineer position?

Required skills include a Bachelor’s degree in Electrical Engineering, Computer Science, Industrial Engineering or equivalent, 3+ years in hardware system engineering, production engineering or manufacturing engineering, strong understanding of manufacturing processes including assembly, test, and quality control, excellent problem-solving skills, strong communication and presentation skills, and ability to work independently in a high-pressure environment.

What is the travel requirement for this role?

The position requires the ability to travel domestically and/or internationally 50-75%.

What makes a candidate stand out for this Production Application Engineer role?

Candidates stand out with hands-on experience in datacenter product engineering, failure analysis, debugging, or GPU server design; proven track record in managing production schedules at factories and monitoring yield rates; and knowledge of FMEA, RCA, and DOE.

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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