AI Infrastructure Engineer
AI Infrastructure Engineer
We leverage cutting-edge cloud data platform technologies to design scalable, secure, and high-performance analytics environments. As we continue to grow, we’re looking for a skilled AI Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Company: Bright Vision Technologies ( )
Job Title: AI Infrastructure Engineer
Job Location: Bridgewater, New Jersey - 08807
Onsite/Hybrid: Remote
FULL-TIME ROLE WITH BRIGHT VISION Job Description:
- Design and manage AI/ML Infrastructure optimized for GPU Computing using NVIDIA CUDA, enabling high-throughput training and inference workloads.
- Develop and automate scalable environments with Python scripting on Linux, leveraging Docker for containerization and Kubernetes for orchestration.
- Deploy and optimize AI workloads across Cloud Platforms (AWS, Azure, GCP), configuring GPU clusters for cost-effective scaling.
- Implement AI Workload Orchestration tools to schedule, manage, and monitor distributed training jobs across multi-node setups.
- Build High-Performance Computing (HPC) systems with Distributed Systems expertise, focusing on low-latency Storage & Networking for AI (e.g., NVMe, InfiniBand).
- Provision infrastructure using Infrastructure as Code (Terraform), ensuring reproducible and version-controlled deployments.
- Establish CI/CD pipelines with Git integration for automated building, testing, and rollout of AI infrastructure components.
- Set up Monitoring & Observability stacks (e.g., Prometheus, Grafana) to track GPU utilization, cluster health, and performance bottlenecks.
- Collaborate in Agile methodologies, delivering iterative improvements to AI infrastructure through sprints and cross-functional teamwork.
- Optimize resource allocation for AI pipelines, reducing costs while maximizing throughput for large-scale model training and serving.
Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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