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.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • 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.
  • The site is refreshed daily to remove out-of-date content.
  • 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.
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ManpowerGroup Machine Learning Engineer in San Jose, California

Experis is partnering with a global client to hire an AI/ML Systems Engineer that can work remotely for this position.

You will contribute to the development of new architectures and products using our client’s Memory/storage solutions for their Mobile Customers.

What You Will be Doing:

  • Develop and Analyze Machine Learning or AI Models for Edge AI applications.

  • Analyze Open-Source Large Language, Vision and Multi-modal models and deploy them for mobile systems.

  • Customize the models for performance and power analysis and implement changes for performance improvements.

  • Work with the third-party Application and Model developers to get custom models for mobile devices and to analyze Memory and Storage requirements.

  • Work with the SDKs from SoC vendors to deploy models on different Accelerators in the mobile system and analyze the performance with different accelerators.

  • Run tests to assess AI performance.

  • Stay up to date on the latest innovations in machine learning.

Experience You Will Need:

  • Must have a BS or Master’s degree or PhD in Electrical and/or Computer Engineering or Computer Science

  • At least 5 years of relevant work experience.

  • Strong understanding of dimensionality reduction techniques, clustering, and classification.

  • Familiarity with supervised and unsupervised machine learning metrics and requirements.

  • Excellent writing, documentation, and communication skills.

  • Ability to learn new skills and take on new responsibilities.

  • Experience working with AI Accelerators and Performance Analysis

  • Experience in ASIC or FPGA Design, Verification

  • Experience in Architecture, Microarchitecture of high speed, low power, optimal area IPs

  • Great communications skills with the ability to articulate results.

Preferred Skills:

  • Experience with dynamical systems, optimization, and simulation.

  • Knowledge of the latest and most performant ML/AI algorithms.

  • Ability to create customer deliverable research reports.

  • Proposal writing skills for new ML/AI work.

  • Processor system knowledge including basic understanding of SoC systems as well as operating system software.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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