Sr. Chassis/OS Software Engineer

at  Recogni

ABOUT RECOGNI

Artificial intelligence (AI) is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different environments with the ability to quickly learn and then solve complex problems. At Recogni we have innovative approaches to machine learning, high resolution imaging, perception processing, and high-performance computation with industry-leading low power efficiency. We’re a well funded, fast-paced startup company with headquarters in San Jose, CA, and Munich, Germany; we also have many talented team members working remotely. We’re at the leading edge of advancing the latest research and product improvements for Al inference solutions that will make Al even more useful for compelling new applications.

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.
• Strong understanding of kernel and driver development, including device driver interfaces and hardware abstraction layers.
• 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.
  Recogni is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

KEY RESPONSIBILITIES:

Chassis and Operating System Development:

• Design and develop software components for the chassis and operating system of our 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.

  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 our AI accelerator hardware.

• Optimize kernel-level performance and resource management for maximum efficiency and throughput.

  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.