Top Remote Linux Jobs in Houston, TX

The role involves deploying AI infrastructure solutions, advising clients on GPU and networking systems, and managing project opportunities, requiring extensive technical expertise and customer engagement.

The Associate Integration Engineer designs and develops integrated solutions, manages production issues, supports training, and documents technical standards within the organization.

Lead and mentor on large-scale HPC systems, develop GPU-accelerated solutions, support researchers, and optimize performance for AI workloads.

As a Software Engineer, enhance the reliability of trading systems focusing on software engineering initiatives for performance and automation.

As a Validator Engineer, manage validator uptime, performance and reliability, handle client upgrades, produce documentation, and support operators.

Develop full-stack software solutions for medical practices, enhancing user experience and reducing administrative tasks. Lead product development.

Manage and optimize Sysdig's Infrastructure, automate deployment, ensure compliance and security, and oversee data-stores management while participating in incident responses.

Lead Tenna's cloud infrastructure evolution, optimizing performance and costs while mentoring the Engineering team on DevOps best practices, focusing on automation, security, and scalability.

The Backend Engineer will improve reliability and scalability of services, develop new services, and analyze operational efficiencies while collaborating closely with the engineering team.

As a Senior Software QA Engineer II, you will lead verification strategies, define test strategies, support regulatory submissions, and mentor junior engineers while collaborating with cross-functional teams in an Agile environment.

Responsible for installing, configuring, and optimizing SAP environments, ensuring system reliability and security, and troubleshooting Basis-related issues.

The Staff DevOps Engineer will optimize infrastructure for chip development, build CI/CD pipelines, and enhance workflows using AI/ML practices.

Develop highly optimized inference framework for AI networking, utilizing GPU Kernels and RDMA cards. Engage in next-gen performance-oriented solutions.

Design and build backend features for threat detection, develop scalable APIs and services, and collaborate across teams to improve security and performance.

The Engineer will design, develop, and operate routing services, solving complex guidance scenarios and creating customizable navigation solutions for various clients.

This role involves leading cloud engineering strategies, managing a team, delivering cloud solutions, and collaborating across departments to enhance cloud capabilities.

As a Senior Platform Engineer, you'll automate configuration and deployment processes, manage cloud environments, and enhance product delivery while collaborating with developers.

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

The Senior Engineer, Data Integration will design, build, and support HL7 interfaces using the Cloverleaf Interface Engine, focusing on healthcare data integration, system maintenance, and ensuring best practices in interface development.

Oversees system engineering projects, provides technical direction, leads training, and supports systems engineers while managing project timelines and budgets.

Develop high performance communication frameworks and applications for NVIDIA supercomputers; involves performance optimization and collaboration with hardware teams.

Collaborate with engineering teams to launch NVIDIA HGX GPU Accelerated Server Platforms. Responsibilities include planning tests, optimizing production, and improving product quality.

As a Datacenter Product Engineer, you will lead the launch of new GPU boards, develop diagnostic tests, and optimize production processes for NVIDIA's high-performance systems.

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

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