Senior Software Engineer – SAI/SDK

This is a fully remote position, open to applicants in Costa Rica.

📋 Description

• Design and develop SAI object types and APIs for switch ASIC platforms, accommodating various operational modes and architectures.

• Create and sustain switch SDK components, which encompass low-level ASIC drivers, control plane interfaces, and hardware abstraction layers.

• Integrate SAI/SDK with SONiC and other network operating system platforms.

• Construct and maintain testing frameworks, harnesses, and CI/CD pipelines for SAI/SDK validation.

• Produce comprehensive unit and integration tests.

• Analyze and optimize SAI/SDK performance in terms of latency, throughput, and resource utilization.

• Collaborate with hardware, firmware, and systems teams to outline ASIC requirements and address integration challenges.

• Conduct code reviews, mentor junior engineers, and establish best practices for SAI/SDK development.

• Utilize AI coding assistants and emerging tools to enhance development speed and code quality.

• Collaborate with the Principal Engineer on architectural design and implementation, taking ownership of key subsystems.

⛳️ Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.

• 7–10 years of experience in software engineering.

• Strong command of C/C++ with a thorough understanding of systems programming.

• Practical experience in switch ASIC/SDK development on platforms such as Broadcom, Marvell, Intel, or similar.

• Experience in Linux systems programming, including kernel interfaces and driver development.

• Robust debugging and problem-solving abilities for intricate hardware/software integration challenges.

• Exceptional communication and collaboration skills.

• Dedication to AI-first development methodologies and ongoing learning of new AI tools.

• Preferred experience with SAI (Switch Abstraction Interface) implementation.

• Preferred experience in integrating SONiC or other network operating system platforms.

• Preferred experience with network protocol implementation, including L2/L3 switching and routing.

• Preferred knowledge of high-speed interconnect protocols.

• Preferred understanding of hardware/ASIC architecture.

• Preferred experience in performance optimization and profiling using tools such as perf, gprof, valgrind, or similar.

• Preferred history of contributions to open-source projects.

• Preferred experience in technical leadership and mentoring.

• Preferred familiarity with AI-assisted development tools like GitHub Copilot or Cursor.

• Preferred knowledge of test automation frameworks and CI/CD systems.

🏝️ Benefits

• Competitive compensation package, including performance incentives and equity participation.

• Additional benefits may vary based on geographic location.

• Paid holidays.

• Flexible work arrangements.

• AI-first development practices with access to AI coding assistants and cutting-edge tools.

• Opportunities for career advancement.