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  • The site is refreshed daily to remove out-of-date content.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.

Job Information

Meta Manufacturing Data Software Engineer in Shanghai, China

Summary:

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, and wire-free VR. We are pushing the future of computing platforms, and we are a team of world-class experts developing and shipping products at the intersection of hardware, software and content. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.The MFG Data SW Development Engineer is part of the Manufacturing Infrastructure, Data and AI Systems team (MIDAS). As a Data software engineer, you will develop software solutions that will collect, store, transform, and visualize manufacturing data including applied AI for manufacturing systems. The MIDAS team is chartered with driving 10X efficiency improvements in connecting our users to relevant data insights that enable oversight that help to drive corrective actions to product design, components, assembly, and test from component, module, SMT and FATP production. This role, although challenging, will leverage a diverse skill set and ability to work with the natural ambiguity associated with innovation.

Required Skills:

Manufacturing Data Software Engineer Responsibilities:

  1. Development of software applications that improve data collection efficiency, transport, storage, transformation, and visualization.

  2. Proficiency with multiple software programming languages and development environments (C,C++,Python, Java) , (React js) will be leveraged routinely to deliver benchmark solutions.

  3. Responsible for driving applied AI/ML that is destined to transform how we scale AI into product manufacturing.

  4. Work closely with other functional groups (TPMs, Electrical Engineering, software/firmware Engineering) clearly define user requirements for data transformation and visualization.

Minimum Qualifications:

Minimum Qualifications:

  1. High degree of proficiency in C, C++, Java, Python & React js

  2. Knowledge developing solutions in both Linux and Windows environments.

  3. Bachelor's degree or equivalent + 6 years of related experience in manufacturing data collection & processing.

  4. Experience developing scalable solutions in AWS environments

  5. Knowledge in statistical methods (6s, SPC, Cpk) for data analysis in production control processes

  6. Experience designing and executing development projects with a design of experiment approach (DOE) to service, troubleshoot, and solve engineering problems

Preferred Qualifications:

Preferred Qualifications:

  1. Masters degree in software / AI related discipline (Computer science, Mathematics, etc…)

  2. 10 years of related experience in manufacturing test development, data collection, transformation, and visualization.

  3. knowledge of Networking, Servers, Firewalls, and security policy deployment, monitoring, and enforcement.

  4. Multi lingual English + ( Mandarin, Vietnamese, Spanish) is desirable

Industry: Internet

DirectEmployers