Senior Software Engineer – Storage

🔥 1 minute ago

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Design, develop, and operate distributed systems that manage data, compute, and networking for large-scale AI 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 requirements and translate them into scalable, high-performance solutions • Drive improvements in system reliability, performance, and observability to meet exascale standards • Partner with security, networking, and platform teams to ensure MARS infrastructure meets robustness and compliance standards • Participate in design reviews, contribute to system architecture discussions, and influence NVIDIA’s AI infrastructure stack • Stay current with advances in distributed systems, large-scale computing, and AI frameworks to shape the future direction of MARS

🎯 Requirements

• BS or equivalent experience in Computer Science, Computer Engineering, or a related 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., Lustre, GPFS, BeeGFS) and compute scheduling and orchestration (e.g., Slurm, Kubernetes, LSF) • Familiarity with cloud environments (Azure, AWS, GCP) and infrastructure automation tools • Strong problem-solving skills, ownership mindset, and ability to thrive 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 related 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 security, compliance, and lifecycle management for research-scale datasets • Demonstrated leadership in system architecture design, performance optimization, or reliability engineering

🏖️ Benefits

• Equity • Benefits