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  • The site is refreshed daily to remove out-of-date content.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 AI/HPC Network Engineer in Menlo Park, California

Summary:

Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing uses cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads that expects a loss-less fabric interconnect. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, comms lib and scheduling infrastructure.

Required Skills:

AI/HPC Network Engineer Responsibilities:

  1. Design, develop, test and operate networking systems to support large scale AI training jobs.

  2. Research, develop and deploy numerous technologies and network topologies in order to evolve and scale our AI networks.

  3. Work closely with our hardware, software and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure

  4. Define and develop optimized network monitoring systems

  5. Be oncall to learn from real world production challenges and take the lessons to improve current and future generation products.

Minimum Qualifications:

Minimum Qualifications:

  1. Engineering degree, or a related technical discipline or equivalent experience

  2. Experience coding in languages like Python, C++, Go, etc

  3. Experience in network automation software leveraging software defined networking principles.

  4. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

  5. Experience in designing, deploying and operating networks at scale.

Preferred Qualifications:

Preferred Qualifications:

  1. BS or MS in Computer Science or Computer Engineering

  2. Expert Knowledge of IB/RDMA/RoCE Networks

  3. 4+ years of experience working on networks supporting large scale training workloads

  4. Understanding of routing and switching - hardware design and knowledge of forwarding and data planes

  5. Understanding of AI training workloads and demands they exert on networks.

  6. Understanding of RDMA congestion control mechanisms on IB and RoCE Networks.

Public Compensation:

$143,000/year to $208,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

DirectEmployers