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  • The site is refreshed daily to remove out-of-date content.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.
Home View All Jobs (2,276,878)

Job Information

Nvidia Senior Networking Test Engineer in Shanghai, China

We are looking for an outstanding networking test engineer to join our End-to-End Verification team.

You are going to be part of the E2E Verification team with the main goal of testing the most exciting High Performance Ethernet AI network. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What you'll be doing:

  • Contribute to design review and product features requirements under the whole Ethernet/ NIC/DPU/Switch portfolio. Design and build setup topologies with an emphasis on an emulation of customer large scale / complex environments.

  • Collaborating closely with multi-functional teams, including hardware engineers, software developers, and domain experts, to deliver optimized solutions that meet the demanding requirements of HPC/AI workloads.

  • Design, mentorship for testing automation team to implement tests. Generate comprehensive test reports during release execution procedure, assist with reproduction and debugs complex customer use cases, with determination of the issue root cause, be an engineering PIC for the full verification cycles of the customer use cases.

  • Complete end-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Report the progress of testing and provide summary reports of testing activity.

  • Profiling, Benchmarking, and Analyzing Deep Learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

  • Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

    What we need to see:

  • B.A./B.Sc. in Computer Science or Electrical Engineering or equivalent experience as IT/Network Engineer.

  • 5+ years of practical experience.

  • Very Strong Hands-on experience in Linux based platform.

  • Expertise in AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA).

  • Ability to profile and optimize deep learning workflows, focusing on networking-related bottlenecks and optimizations, to improve overall performance and efficiency.

  • Exceptional analytical and problem-solving skill, with a keen attention to detail, particularly in identifying and resolving networking performance issues.

  • Fast and self-learner with outstanding technical skills.

  • Independent, responsible worker, able to plan and complete.

  • Standout colleague with good English communication and interpersonal skills.

    Ways to stand out from the crowd:

  • Experience with virtualization technologies (KVM, HyperV, VMWARE, OpenStack, Kubernetes).

  • Expertise in optimizing networking parameters, such as bandwidth, latency, or congestion control (such as DCQCN), for Deep Learning workloads.

  • Familiarity with NVIDIA's networking technologies, such as Mellanox BF3, CX NIC, and their integration with Deep Learning workflows.

  • Strong understanding of high-performance networking protocols and standards and their application to Deep Learning.

  • Scripts skills and experience: Bash / Python / Ansible

    NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

    NVIDIA is a Learning Machine

    NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

    Learn more about NVIDIA .

DirectEmployers