Remote GPU Systems Software Engineer

Description:

• We are seeking a passionate GPU Systems Software Engineer with a deep understanding of system architecture and a passion for solving complex, low-level challenges.
• This role is perfect for an individual who thrives in environments where they can leverage their extensive knowledge of Linux, networking, kernels, and hypervisors.
• The ideal candidate will be adaptable, with a strong ability to pivot in response to high-priority customer needs and keep stakeholders informed.
• Responsibilities include utilizing deep knowledge of low-level systems architecture and programming to design, develop, and optimize software that interfaces seamlessly with underlying hardware and cloud components.
• The engineer will implement, troubleshoot, and optimize low-level networking features within Linux environments.
• The role involves tackling complex and unfamiliar areas of development independently, demonstrating the ability to research, diagnose, and resolve deep system issues.
• The candidate must have the ability to debug complex systems.
• A deep understanding of kernels or hypervisors is required to ensure the stability and performance of the Company’s systems at the foundational level.
• The engineer must adapt quickly to the evolving needs of the Company’s customers, providing timely and effective solutions to high-priority issues as they arise.
• Low-level understanding of containers (runC, containerd, or CRI) and Kubernetes is necessary, with a focus on building secure by design architecture.
• Proficiency in C and Rust programming is required to interface with Kubernetes and other system components, contributing to and debugging code to ensure reliability and performance.
• The engineer will design secure by default infrastructure and isolation technology for containers.

Requirements:

• Candidates must have a deep understanding of system architecture and low-level programming.
• Extensive knowledge of Linux, networking, kernels, and hypervisors is essential.
• The ability to tackle complex development areas independently is required.
• Candidates must possess debugging skills for complex systems.
• A strong understanding of kernels or hypervisors is necessary for system stability and performance.
• Adaptability to high-priority customer needs is crucial.
• Low-level expertise in containers and Kubernetes is required.
• Proficiency in C and Rust programming languages is necessary.
• Experience in designing secure infrastructure and isolation technology for containers is required.

Benefits:

• The position offers a competitive salary ranging from $175,000 to $220,000 a year.
• Employees enjoy unlimited PTO.
• Equity options are available.
• The company provides 100% medical coverage for employees and their eligible dependents.
• The work environment promotes a start-up vibe with significant benefits.
• The company values humble authenticity, intentional inclusivity, honest support and communication, continuous learning and balance, and a courageous, mission-driven approach.