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  • The site is refreshed daily to remove out-of-date content.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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Nvidia Senior HPC AI Cluster Engineer in Yokneam, Israel

NVIDIA is looking for an experienced HPC Engineer to join the E2E software verification HPC/AI Infrastructure team. we are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for an outstanding architect for a senior HPC, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What you will be doing:

  • Design, implement and maintain large scale HPC/AI clusters with monitoring, logging and alerting

  • Manage Linux job/workload schedules and orchestration tools

  • Develop and maintain continuous integration and delivery pipelines

  • Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources

  • Deploy monitoring solutions for the servers, network and storage

  • Perform troubleshooting bottom up from bare metal, operating system, software stack and application level

  • Being a technical resource, develop, re-define and document standard methodologies to share with internal teams

  • Support Research & Development activities and engage in POCs/POVs for future improvements

What we need to see:

  • A degree in Computer Science, Engineering, or a related field

  • 5+ years of experience

  • Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software

  • Experience with job scheduling workloads and orchestration tools such as Slurm, K8s

  • Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalld, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.

  • Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.

  • Python programming and bash scripting experience.

  • Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef

  • Deep knowledge of Networking Protocols like InfiniBand, Ethernet

  • Deep understanding and experience with virtual systems (for example VMware, Hyper-V, KVM, or Citrix)

Ways to stand out from the crowd:

  • Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud)

  • Knowledge of CPU and/or GPU architecture

  • Knowledge of Kubernetes, container related microservice technologies

  • Experience with GPU-focused hardware/software (DGX, Cuda)

  • Background with RDMA (InfiniBand or RoCE) fabrics

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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