Senior System Software Engineer – Scientific Computing PaaS

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack 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 services and take ownership of underlying cloud infrastructure for physics-informed and data-driven scientific workflows • Design novel algorithms and engage with operations to increase overall system performance across the stack • Work with application code, including deep learning frameworks, numerical solvers, microservices, APIs, and heterogeneous CPU/GPU computing • Design, build, deploy, and operate scalable I/O infrastructure for checkpointing, data loading, and pre- and post-processing of data • Optimize compute, storage, and network architecture for physics- and simulation-driven applications • Build scientific computing platform workflows on the cloud for numerical simulation solvers, AI training, inference, and visualization • Support applications including weather prediction, climate modeling, industrial design, and digital twin simulation across multiple domains

🎯 Requirements

• BS/MS degree in Computer Science or related areas or equivalent experience • 10+ years experience working on building and operating distributed compute and data intensive platform as a service on cloud • Proven skill in a compiled language (Go, Rust, C++ or otherwise) • Strong foundational knowledge in Cloud Computing, including datacenter architecture, cloud security architecture, virtualization, resource pooling, and elasticity • Proven skills in Distributed Systems and Parallel Processing, including distributed computation models, synchronization, deadlock detection, fault tolerance, consensus protocols, parallel algorithms, shared and distributed memory architecture, message passing (MPI, NCCL), cluster scalability, and performance • Hands-on debugging skills with processes, threads, deadlock and synchronization, scheduling, IPC, memory management, file systems, and I/O structure • Strong algorithmic thinking and system design skills, including recursion, graphs, trees, stacks, queues, and large-scale loosely coupled distributed system design and operations • Self-motivated with strong interpersonal skills and ability to work independently with multiple teams with minimal direction • [Preferred/standout] Experience building, deploying, and operating AI platforms on HPC clusters and cloud-native systems • [Preferred/standout] Experience with distributed storage, scheduling, orchestration, and compute, storage, and network systems • [Preferred/standout] Experience configuring and troubleshooting hardware, operating systems, kernels, and compilers for maximum performance • [Preferred/standout] Hands-on debugging to optimize compute, networking, and I/O frameworks • [Preferred/standout] Experience debugging and customizing third-party source code

🏖️ Benefits

• Equity • Benefits