Senior System Software Engineer - AI Data Platform - Inference Factory

Create infrastructure and tools to automate complex software processes effectively.

Improve performance: Deploy advanced test harnesses, benchmarking frameworks, and analytical tools to thoroughly evaluate and enhance the performance and efficiency of software and hardware platforms.

Utilize expertise in operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to construct and troubleshoot high-performance systems.

Collaborate with engineering teams to comprehend requirements and deliver efficient solutions.

Establish performance objectives, assess feedback, analyze data, and continually enhance system reliability.

Shape technical strategies: Contribute to developing technical strategies and roadmaps for platform automation initiatives to ensure they are in line with company goals and industry best practices.

Required: Bachelor's or equivalent experience in Computer Science, Computer Engineering, or a related technical field, or Master's degree or equivalent experience in a similar field.

Minimum 5 years of industry experience in software development, focusing on infrastructure, distributed systems, automation, and/or performance engineering.

Proficiency in System-Level Programming: Proven ability to develop robust tools and automation using programming languages such as C++, Python, or Go.

Thorough Understanding of System Software: Experience with operating system internals, device drivers, memory management, and debugging performance issues in complex compute applications.

Distributed Systems Expertise: Experience in designing, building, and operating large-scale distributed systems, with knowledge of networking protocols, cluster management, and high-performance interconnects.

Automation and CI/CD Proficiency: Experience building and maintaining automated testing, benchmarking, and continuous integration/continuous deployment pipelines.

Strong Problem-Solving and Analytical Skills: Outstanding analytical, problem-solving, and debugging skills, with a track record of resolving complex technical challenges.

Collaboration and Communication Skills: Excellent interpersonal and communication skills, with the ability to articulate complex technical concepts to diverse audiences and collaborate effectively across teams.

Preferred qualifications

Experience optimizing performance for AI/Machine Learning workloads, especially inference applications, on diverse hardware platforms.

Prior experience building or contributing to large-scale compute infrastructure solutions in cloud environments or on-premises data centers.

Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes.

Knowledge of performance profiling tools and methodologies for hardware and software systems.

Track record of driving significant efficiency gains or architectural improvements in large-scale systems.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666