Top Remote Systems Engineer Jobs in Los Angeles, CA

Design and optimize low-latency trading systems, build real-time risk platforms, and engineer distributed systems in a high-performance environment using Haskell.

The role involves developing large-scale application services for vulnerability content, collaborating with security researchers, and automating processes in a cybersecurity context.

The Senior Build Systems Engineer will design, implement, and maintain Turborepo and CI/CD systems, improving developer experience and system performance.

As a Senior Build Systems Engineer, contribute to designing and maintaining Turborepo and enhance CI/CD processes while engaging with the community.

As a Distributed Systems Engineer, you will develop and manage SDKs, design APIs, and optimize execution layers for high-performance distributed systems, impacting millions of developers.

The Systems Engineer will architect and implement solutions for queueing systems and state stores, improve throughput and latency, and collaborate with teams to enhance the user experience.

Design and implement components for a blockchain infrastructure, focusing on distributed systems and AI execution, while ensuring network reliability and performance.

As a Distributed Systems Engineer, you will build Rust-based rollup nodes and sequencers, ensuring security and efficiency in blockchain protocols.

Design and implement scalable backend systems for IoT solutions, integrating LoRaWAN devices, and maintaining communication protocols while collaborating with cross-functional teams.

The Systems Engineer will manage cloud infrastructure, implement full stack components, drive DevOps practices, and enhance system performance and reliability.

The UI Engineer will build and maintain robust React components, collaborate with designers and engineers, optimize performance, and contribute to documentation and best practices.

The Distributed Systems Engineer will build scalable data infrastructure, enhance data processing systems, and collaborate across teams to leverage data efficiently.

Design and develop large-scale distributed systems, focusing on data processing infrastructure. Collaborate across teams to enhance Netflix's data platform and backend systems.

You will build features related to data pipelines and LLMs, implement web APIs, and ensure data quality while working in a full stack role.

As a Software Engineer on the UI Systems Team, you will develop high-quality web and mobile UI components using JavaScript and modern frameworks, collaborating closely with designers and product managers.

As a Senior IT Systems Engineer, you will automate identity management processes, manage Okta configurations, and collaborate on security practices and practices to enhance technology experiences.

Develop and maintain the Content Management System, automate data release, and enhance system performance for vulnerability information delivery.

As a Principal Software Engineer, you'll design scalable cloud storage architectures, optimize performance, and collaborate with teams to enhance storage solutions for AI workloads.

Optimize Ubuntu for the latest IoT and server hardware, leading technical engagements, and work with open source communities. Requires experience with Linux and C/C++.

Lead the design and delivery of scalable distributed systems to simplify cloud computing for Netflix engineers, improving efficiency and safety.

Design, develop, and maintain workflow and event-driven systems, manage containers, optimize runtime environments, and integrate APIs while leading junior engineers.

The role involves optimizing deep learning models using CUDA and C++, focusing on compiler technology and parallel programming for GPU architectures.

Develop and manage private and public cloud infrastructures for AI training. Focus on automation, incident response, and service-level objectives.

Develop and maintain scalable Go programs for managing large datacenters, focusing on GPU management integration and Kubernetes deployments, while ensuring high-quality products through testing and user support.

Join NVIDIA's DGX Cloud team to enhance AI infrastructure by managing GPU resources on kubernetes, ensuring reliability, monitoring performance, and collaborating with teams.