Senior System Software Engineer – Scientific Computing PaaS

This is a fully remote position, open to applicants in California.

📋 Description

• Take charge of designing services and managing the underlying cloud infrastructure for scientific workflows that are informed by physics and driven by data.

• Develop innovative algorithms and collaborate with operations to enhance the overall performance of the system across the entire stack.

• Engage with application code, which includes deep learning frameworks, numerical solvers, microservices, APIs, and heterogeneous CPU/GPU computing.

• Create, deploy, and manage scalable I/O infrastructure for tasks such as checkpointing, data loading, and pre- and post-processing of data.

• Improve the compute, storage, and network architecture for applications based on physics and simulations.

• Construct scientific computing platform workflows on the cloud for numerical simulation solvers, AI training, inference, and visualization.

• Provide support for applications related to weather forecasting, climate modeling, industrial design, and digital twin simulation across various domains.

⛳️ Requirements

• A BS/MS degree in Computer Science or a related field, or equivalent professional experience.

• Over 10 years of experience in creating and managing distributed compute and data-intensive platforms as a service on the cloud.

• Demonstrated proficiency in a compiled programming language such as Go, Rust, C++, or similar.

• Solid foundational understanding of Cloud Computing, including data center architecture, cloud security, virtualization, resource pooling, and elasticity.

• Proven expertise in Distributed Systems and Parallel Processing, encompassing distributed computation models, synchronization, deadlock detection, fault tolerance, consensus protocols, parallel algorithms, and shared and distributed memory architecture.

• Practical debugging experience with processes, threads, deadlocks, synchronization, scheduling, IPC, memory management, file systems, and I/O structures.

• Strong skills in algorithmic thinking and system design, including recursion, graphs, trees, stacks, queues, and the design and operation of large-scale loosely coupled distributed systems.

• Self-motivated with robust interpersonal skills, capable of working independently and effectively with multiple teams with minimal supervision.

• [Preferred/standout] Experience in building, deploying, and managing AI platforms on HPC clusters and cloud-native systems.

• [Preferred/standout] Experience with distributed storage, scheduling, orchestration, as well as compute, storage, and network systems.

• [Preferred/standout] Experience in configuring and troubleshooting hardware, operating systems, kernels, and compilers to achieve maximum performance.

• [Preferred/standout] Hands-on debugging experience to optimize compute, networking, and I/O frameworks.

• [Preferred/standout] Experience in debugging and customizing third-party source code.

🏝️ Benefits

• Equity

• Comprehensive benefits package