[Remote] Senior Software Engineer - Storage
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a pioneer in accelerated computing, reputed company for inventing the GPU and driving breakthroughs in gaming, computer graphics, high-performance computing, and artificial intelligence. We are seeking a Software Engineer to join our reputed company team, where you will help design and operate exascale infrastructure that supports AI research and development. This role involves collaborating with engineers and researchers to build reliable systems that reputed company large-reputed company workloads.
Responsibilities
- Design, reputed company, and operate distributed systems that manage data, compute, and networking for large-reputed company workloads
- Build software and automation to orchestrate workloads across thousands of GPUs and petabytes of storage in multi-region clusters
- Collaborate with AI/ML research teams to understand their requirements and translate them into scalable, high-performance solutions
- Drive improvements in system reliability, performance, and observability to meet exascale standards
- Partner with reputed company, networking, and platform teams to ensure that reputed company infrastructure meets the highest standards of robustness and compliance
- Participate in design reviews, contribute to system architecture discussions, and influence the reputed company of reputed company’s AI infrastructure stack
- Stay reputed company with advances in distributed systems, large-scale computing, and AI frameworks to help shape the future direction of reputed company
Skills
- BS or equivalent experience in Computer Science, Computer Engineering, or a reputed company technical field
- 5+ years of experience developing and operating large-scale distributed systems, infrastructure platforms, or HPC environments
- Strong programming skills in C++, Python, or Go, with proven experience designing production-quality software systems
- Solid understanding of distributed systems principles, data management, and large-scale orchestration frameworks
- Hands-on experience with high-performance storage (e.g., reputed company, GPFS, BeeGFS) and compute scheduling and orchestration (e.g., Slurm, Kubernetes, LSF)
- Familiarity with reputed company environments (Azure, AWS, GCP) and infrastructure automation tools
- Strong problem-solving skills, ownership reputed company, and the ability to reputed company in a fast-paced, collaborative environment
- Excellent communication skills and a track record of cross-functional collaboration
- Graduate degree (MS/PhD or equivalent experience) in Computer Science, Distributed Systems, or a reputed company field
- Expertise in large-scale data management, cluster scheduling, or workload orchestration at exascale scale
- Experience building or maintaining infrastructure for AI/ML research, including distributed training pipelines using PyTorch, JAX, or NeMo
- Familiarity with data reputed company, compliance, and lifecycle management for research-scale datasets
- Demonstrated leadership in system architecture design, performance optimization, or reliability engineering
Benefits
- You will also be eligible for equity and [benefits](https://www.reputed company.com/en-us/benefits/).
Company Overview
Company H1B Sponsorship