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Sr. Software Development Manager

Job in Fremont, Alameda County, California, 94537, USA
Listing for: MSI group
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    DevOps, Backend Developer, AI Engineer (Applied/Software), Software Architect
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Sr. Software Development Manager

Full Time

30+ days ago Requisition

Salary Range: $ To $ Annually

Company Overview:

Micro-Star International (MSI™) specializes in the design and manufacturing of motherboards, interface cards, and barebones. In the rapidly changing information technology industry, MSI™ has certainly become a vital link in the chain of leading-edge technology.

MSI™ keeps the principle of "Award-winning product quality and outstanding customer service" in producing its motherboards and add-on cards, and achieves its position as one of the Top 5 motherboard/video card manufacturers in the world.

Job Title:
Sr. Software Development Manager

Pay Range:$-$ Annually

Location:Fremont, CA, USA

Description:

We are looking for an experienced Software Development Manager to lead backend engineering and agentic AI initiatives for Rack Navigator — MSI’s next-generation platform for autonomous datacenter operations.

This role combines hands-on technical leadership with team management, focused on building scalable backend systems and intelligent agents that automate infrastructure provisioning, diagnostics, and lifecycle management. You will lead a team of engineers developing AI-driven workflows that interact with real-world datacenter systems at rack scale.

What you will DO:

Technical Leadership & Architecture

  • Lead the design and development of backend services, APIs, and microservices powering Rack Navigator.
  • Define architecture for agentic AI systems that orchestrate infrastructure workflows (provisioning, validation, diagnostics, remediation).
  • Drive design decisions for scalability, reliability, and performance across distributed infrastructure systems.
  • Establish best practices for system design, observability, and fault tolerance.

Agentic AI & Infrastructure Automation

  • Oversee development of AI-driven agents that interact with infrastructure control planes, telemetry systems, and hardware APIs.
  • Guide the implementation of automation for rack-scale diagnostics, health monitoring, and failure analysis.
  • Ensure seamless integration between AI workflows and datacenter infrastructure (compute, storage, networking).
  • Build, mentor, and manage a high-performing backend engineering team.
  • Drive sprint planning, execution, and delivery of key platform capabilities.
  • Set clear goals, provide technical direction, and foster a culture of ownership and innovation.
  • Balance hands-on coding/reviews with strategic leadership responsibilities.
  • Establish coding standards, testing frameworks, and CI/CD practices.
  • Drive development of reusable libraries and internal platforms for infrastructure lifecycle automation.
  • Ensure high-quality, maintainable, and well-documented code.

Cross-functional Collaboration

  • Partner with infrastructure, hardware, production, and AI teams to deliver end-to-end solutions.
  • Align engineering efforts with product and business goals.
  • Support production deployments and continuous improvement of datacenter operations.

What you will NEED:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 8+ years of software development experience, with 2+ years in a technical leadership or management role.
  • Strong proficiency in Python for backend systems and automation.
  • Experience building scalable backend services, APIs, and distributed systems.
  • Hands-on experience with infrastructure automation (Ansible, Python, Shell).
  • Solid understanding of datacenter infrastructure (compute, networking, storage).
  • Strong problem-solving and debugging skills in complex environments.

Preferred / Nice-to-Have

  • Experience building or leading teams developing agentic AI systems or LLM-driven automation.
  • Familiarity with modern AI orchestration frameworks and “vibe coding” environments (rapid prototyping with AI-assisted development tools).
  • Experience with GPU clusters, HPC systems, or rack-scale architectures.
  • Background in diagnostics, system validation, or hardware-software integration.
  • Experience with Dev Ops practices, CI/CD pipelines, and infrastructure-as-code.
  • Knowledge of…
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