Position: Senior Network & Compute Engineer – NVIDIA AI Infrastructure
Location: San Jose, CA or Anywhere in US and ready to travel
Rate: $60/hr. on w2
Employment Eligibility Statement
Due to specific project and client requirements, this position is open to U.S. Citizens and U.S. Lawful Permanent Residents (Green Card holders) . Sponsorship is not available at this time. Danta Technologies evaluates all candidates in compliance with the Immigration and Nationality Act (INA) and EEOC guidelines . All hiring decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Job Summary:
We are seeking an experienced Network & Compute Engineer to deploy, configure, and support NVIDIA AI Factory and GPU-accelerated computing infrastructure. The role involves Linux administration, high-performance networking, Kubernetes, cluster provisioning, GPU troubleshooting, and infrastructure automation.
Key Responsibilities:
Preferred Skills: NVIDIA MGX/GB200, Base Command Manager, Mission Control, Slurm, Run, InfiniBand/RDMA, NVLink, Prometheus, Grafana, and GPU XID troubleshooting.
Experience: 8+ years in infrastructure, compute, networking, or HPC; hands-on cluster/Kubernetes experience preferred.
Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
| Location | San Jose, CA |
| Salary | $55–$60 Per Hour |
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