Sr. Chassis/OS Software Engineer

Introduction

In the rapidly evolving landscape of artificial intelligence (AI), the role of Sr. Chassis/OS Software Engineer is pivotal. This role plays a crucial part in advancing the capabilities of AI systems, pushing the boundaries of what technology can achieve.

About the Company

Artificial intelligence is reshaping our world, performing cognitive functions previously exclusive to humans. This system solution company specializes in the design of industry-leading high-performance, low-power AI inferencing. With a mission to enable multimodal Generative AI inference acceleration at scale, we provide safe, sustainable, high-performance AI-driven solutions across various markets. As a well-funded, fast-paced startup, headquarters are in both San Jose, CA, and Munich, Germany, with a diverse team of talented individuals working remotely. The commitment extends beyond technological innovation; prioritizing employees' well-being and their families, tailored benefits for health and financial security support different life stages. Comprehensive benefits and competitive compensation reflect the dedication to fostering a supportive and inspiring work environment.

About the Role

As a Sr. Chassis/OS Software Engineer, you will be at the forefront of designing and developing software components for the AI accelerator platform. Responsibilities encompass chassis and operating system development, networking architecture, and collaboration across cross-functional teams.

What We Can Offer You

• Comprehensive Benefits: Tailored benefits for health and financial security cater to different life stages.
• Flexible Spending and Bonusly Awards: Competitive compensation with additional perks to recognize and reward contributions.
• Remote Work Opportunities: Join a diverse team of talented individuals working remotely.
• Supportive Work Environment: Prioritizing employees' well-being, aiming for a healthier, happier life inside and outside work.

Key Responsibilities

• Chassis and Operating System Development:
• Design and develop software components for the chassis and operating system of the AI accelerator platform, ensuring robustness, scalability, and performance.
• Implement low-level system software in C/C 14, assembly language, and Golang, leveraging best practices for efficiency and optimization.
• Architect and optimize container-based deployments using Kubernetes, Docker, and other containerization technologies.
• Develop and maintain micro-services architecture, ensuring seamless communication and interaction between components.
• Networking Architecture:
• Design and implement networking architecture tailored to the unique requirements of datacenter environments.
• Develop networking protocols, services, and APIs to facilitate communication and data transfer within distributed systems.
• Ensure security, reliability, and scalability of networking solutions, considering factors such as latency, bandwidth, and fault tolerance.
• Collaboration and Cross-Functional Integration:
• Work closely with software architects, hardware engineers, and other cross-functional teams to ensure seamless integration of chassis and operating system components with overall platform architecture.
• Collaborate with QA engineers to develop test plans, automate testing processes, and ensure high-quality software releases.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation.

Qualifications

• Bachelor's or Master’s degree in computer science, Electrical Engineering, or related field.
• 5 years of experience in software and systems engineering roles, with a focus on chassis and operating system development.
• Proficiency in C/C 14, Golang, and assembly language programming.
• Hands-on experience with Kubernetes, gRPC, micro-services, containers, and virtualization technologies.
• In-depth knowledge of networking architecture and protocols, particularly in datacenter environments.
• Excellent problem-solving skills, with the ability to analyze complex systems and design scalable solutions.
• Effective communication skills and ability to collaborate in a fast-paced, team-oriented environment.

Nice to Have

• Kernel and Driver Development:
• Lead kernel and driver development efforts, including device driver implementation and integration with the operating system.
• Collaborate with hardware engineers to define and implement hardware abstraction layers (HALs) and device drivers for the AI accelerator hardware.
• Optimize kernel-level performance and resource management for maximum efficiency and throughput.