Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
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  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Intel GPU Hardware Engineer in San José, Costa Rica

Job Description

The GPU HW IP team (GHI) is responsible for delivering industry-leading GPU (3D, Media, Compute, and Display) hardware intellectual property (IP) blocks and system-on-a-chip (SoC) products for discrete graphics and throughput computing. We strive to lead the industry through continuous innovation and world-class engineering. We work closely with partners across Intel and do not let any organizational boundary get in the way of solving problems. We are looking for a GPU Hardware Engineer to join our team.

In this position your role will fall under one of two groups of responsibilities/functions:

  1. System Integration Function:
  • Working with other specialists that are members of the IP Design, IP Design Verification, System Verification, DFT, STA, and Physical Design teams to implement designs/flows for sophisticated GPU IP.

  • As a GPU IP Integration Engineer, you will have responsibilities to integrate various 3D/Compute, Clocks and Reset, Memory Fabric, DFX and Power management building blocks to construct the GPU IPs and ensure the design meets Functional, DFX , CDC, Timing and Power requirements.

  1. GPU Verification Function:
  • Integration of IP subsystems to build complete GPU/Compute pipeline.

  • Construction of multiple SKUs of GPU sub-system by integration of 3D/Compute pipeline, memory fabric, clock, rest and power management logic through automated flows and upgrading the flows continuously to ensure high efficiency, scalability and performance.

  • Architecting and building Sub-system/System level scalable Testbench environments in System Verilog.

  • Functional bring-up and debug of GPU/Compute pipeline.

  • Deliver GPU IP to internal customers hardware (functional, performance, power), software, and SoC teams and facilitate the integration of the IP in the customers environment/flows.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

Masters degree in electrical engineering, Computer Engineering, Computer Science, or related STEM degree OR Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or related STEM degree with 1+ years’ experience in the following:

  • Logic Design, Architecture.

  • System Verilog.

Preferred Qualifications:

  • Scripting (Python, TCL, PERL, BASH).

  • Revision control (git or perforce).

  • Experience designing/integrating/verifying GPU sub-systems.

  • Experience designing/integrating/verifying high speed interconnects, power management schemes, high performance sub-systems.

  • Experience in using industry standard tools (simulators, (VCS/Xcelium) and waveform debug tools (Verdi/DVE), implementation: Design Compiler, Primetime, Spyglass).

The ideal candidate will have the following skills in addition to the qualifications listed above.

  • Thoughtful and perceptive analytical skills.

  • A genuine curiosity for understanding the system.

  • Be dedicated and committed to creative problem solving and getting things done

  • Work well in a team environment.

  • Strong verbal and written communication skill.

Inside this Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.

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