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NVIDIA

Critical Component Product Engineer

NVIDIA is hiring a Critical Component Product Engineer. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions Jmp, ic manufacturing and statistics among its tools and skills.
  • Level classes it as a mid-level role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Product engineer responsible for high-speed optical interconnect and network silicon IC product transition from design to mass production.

jmp
ic-manufacturingstatisticsdata-analysissiliconelectro-optical-devices

We are looking for Product/ Critical Component Engineer. The position will have responsibility to enhance our growing field of high speed optical Interconnect products performance, cost and quality aspects.

NVIDIA Networking unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, NVIDIA is increasingly known as the place for getting “End-to-End High-Speed Ethernet and InfiniBand Solutions” We're looking to grow our company and build our teams with people who can join us at the forefront of technological advancement. We need a talented individual who will help transfer Network Silicon ICs products (Switch, NIC, SmartNic) from design engineering to mass production with top quality products.

What you'll be doing:

  • The candidate will be responsible for Critical component evaluation and introduction to our interconnect products.

  • The candidate will work with design, HW and process groups to improve or resolve critical components aspects .

  • New critical component Qualification and Reliability assessment.

  • Evaluate High speed performance and margins of the critical component.

  • Run DOE’s and corners samples analysis to evaluate system level performance under different use scenarios.

  • Set automation tools and monitors to control critical components introduction to the manufacturing line.

  • Implement new screening methodologies to ensure MLNX quality standards.

  • Investigation of reliability issues at the CM and Customers sites.

What we need to see:

  • BSc (MSc pref.) or equivalent - Strong statistics and data analysis background (JMP or other tools)

  • 3+ years of Experience in IC/Silicon manufacturing process including fab, test and assembly.

  • Good understanding of product/test HW/Test software/Mechanical integration

  • Experience or background in running a product in high volume production (ICs, systems or other).

  • Experience with statistics or data analysis tools , data extract tools.

  • Background with IC Lab measurements using source mete, Scope, spectrum analyzer, optical power meter etc.

  • Knowledge of electro optical devices (Lasers and Detectors).

  • Familiar with high speed fiber optics products, good understanding of system/IC assembly process.

Ways to stand out from the crowd:

  • Knowledgeable in DFT/DFM/DOE techniques.

  • Experience in electro optical assembly lines.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

How we rate this

Critical Component Product Engineer at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Ic ManufacturingStatisticsData AnalysisSiliconElectro Optical DevicesJmp

Questions you could be asked

  1. Tell me about a project where ic manufacturing was part of your work. What did you do?
  2. Tell me about a project where statistics was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where silicon was part of your work. What did you do?
  5. Tell me about a project where electro optical devices was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Ic Manufacturing, Statistics, Data Analysis, Silicon, and Electro Optical Devices. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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