Senior Production Test Engineer at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, SemiconductorIndustries

Requirements

  • Bachelor’s degree in Industrial Engineering, Supply Chain, Operations, or a related field (or equivalent experience); Master’s is a plus
  • 12+ years of relevant experience
  • Validated expertise in capacity forecasting, and deploying sophisticated planning tools like Anaplan or Ops Data Platform
  • Strong analytical, problem-solving, and scenario planning skills with the ability to navigate complexity and ambiguity in a fast-paced environment
  • Effective collaborator and communicator, proven track record to drive cross-functional teams and external manufacturing partners

Responsibilities

  • Engage in new product ATE New Product Integration (NPI) preparation, including Software and Hardware
  • Coordinate and prepare the capacity for NPI engineering and early sample production
  • Plan and lead across functional teams to transitioning from NPI to mass production - NPI CP/FT/BI Capacity
  • Support NPI Lab activities including engineering debug and hardware purchasing, scheduling and planning
  • Advanced Technology Group Support – Process TV (Test vehicle) Testing Support

Skills

Key technologies and capabilities for this role

AnaplanOps Data PlatformCapacity ForecastingNPIATESoftwareHardwareEngineering DebugTest VehicleSupply ChainOperations Planning

Questions & Answers

Common questions about this position

What is the salary range for this Senior Production Test Engineer position?

The base salary range is 184,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or does it require being in the office?

The position is located at NVIDIA's Corporate Headquarters in Santa Clara, CA.

What are the key required skills for this role?

Candidates need a Bachelor’s degree in Industrial Engineering, Supply Chain, Operations, or related field, 12+ years of relevant experience, expertise in capacity forecasting and tools like Anaplan or Ops Data Platform, strong analytical and problem-solving skills, and proven ability to collaborate and drive cross-functional teams.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, fueled by innovation, great technology, and amazing people.

What makes a candidate stand out for this position?

Stand out with experience working with contract manufacturers and leading OSAT engineering teams, familiarity with semiconductor or test hardware engineering including ATE wafer probing and package testing, and expertise in wafer probe hardware manufacturing flow and planning.

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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