Top Linux Jobs in Washington, DC

Develop advanced C++/CUDA libraries for AI storage infrastructure, work with Linux kernel internals, and optimize performance in data storage solutions.

Design and implement OpenBMC Firmware for NVIDIA's GPU Server platforms, focusing on performance optimization, coding, and collaboration with hardware teams.

Design and implement security best practices for on-premise and cloud infrastructures, including firewalls and security audits, with a focus on compliance and vulnerability management.

The Software Engineer will develop platform software using container runtimes and Kubernetes, focusing on GPU and DPU applications, automation, and cloud-native technologies.

Design, develop, and validate Linux graphics device drivers, analyze performance bottlenecks, and collaborate with global teams.

As a Systems Engineer, you will implement and manage IT endpoints, automate processes, ensure security, and provide support for users. You will also participate in incident response and collaborate across teams to improve technical solutions.

The Senior Systems Administrator is responsible for managing complex enterprise systems, optimizing operations, providing user support, ensuring system security, and mentoring junior staff.

Join Databento as a Junior Systems Engineer to manage platforms, deploy containers, maintain storage clusters, and enhance automation tools.

Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs.

The Senior Site Reliability Engineer will manage deployments, operations, and incident handling for large-scale AI GPU platforms while ensuring high performance and resilience in configurations.

The Senior Site Reliability Engineer will design, implement, and maintain an observability platform, ensuring reliability and performance while supporting production systems and optimizing operational practices.

Design and maintain large scale Kubernetes clusters, ensuring reliability through monitoring, automation and incident response.

The Senior Site Reliability Engineer (SRE) at NVIDIA is responsible for designing, building, and maintaining large-scale production systems, focusing on reliability and efficiency, automation, and continuous improvement.

Design and build performance-critical components in C++. Require expertise in multithreaded systems, CI/CD pipelines, and GTK integration, as well as Python scripting.

Lead the engineering teams responsible for building and operating Vultr's AI clusters, ensuring performance and reliability at scale while collaborating across departments to meet infrastructure needs.

As a DevOps Engineer, you'll improve decentralized network infrastructure, conduct network testing, maintain production instances, and develop tooling and monitoring systems.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

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

Build sophisticated user interfaces for AI and blockchain interactions, including monitoring tools and decentralized application interfaces, while collaborating across teams for seamless user experience.

The Integration Specialist II will commission and test PLC-controlled equipment, ensuring system integration and performance at customer sites, requiring collaboration with engineers and technicians.

Develop and optimize embedded software for robotics, focusing on computer vision systems. Collaborate across teams and implement best practices for performance and reliability.

The Senior Software Engineer will enhance developer workflows, improve CI systems, develop automation tools, and monitor system performance, collaborating with various teams.

The Quality Assurance Engineer will focus on ensuring the quality of Brave's browser releases, collaborating with developers and privacy experts.

The Staff Kubernetes Engineer will design, deploy, and manage Kubernetes clusters, ensuring security and performance while mentoring junior staff and promoting best practices in cloud infrastructure.

This role involves designing and maintaining automated API tests, leading QA automation practices, collaborating on test strategies, and performing exploratory testing in a dynamic team environment.