Note: The job is a remote job and is open to candidates in USA. Microsoft is seeking a Senior Software Engineer to join the Maia Model Enablement team, which brings frontier AI models onto Microsoft's AI accelerators and supports their production deployment. The role focuses on model enablement, performance optimization, serving capabilities, validation infrastructure, hardware bring-up, and cross-stack debugging while partnering with model, runtime, infrastructure, and hardware teams.
Responsibilities
- Bring new AI models and model architectures to Maia
- Diagnose and resolve issues across software, systems, and hardware layers
- Improve performance, scalability, and serving capabilities for production AI workloads
- Build automation, validation infrastructure, and engineering systems that accelerate model onboarding
- Partner across model, runtime, infrastructure, and hardware teams to remove obstacles and deliver production impact
- We work across the entire software stack, from model architectures and serving systems to infrastructure and hardware interactions
- The problems we solve evolve throughout the lifecycle of both models and hardware platforms. Engineers on the team regularly become effective in new domains and develop deep expertise when needed
- We rely heavily on measurement, experimentation, automation, and AI-assisted engineering workflows to move quickly and scale our impact
- We partner closely with model, software, and hardware teams to deliver production-ready solutions
- A new model architecture can run correctly on Maia
- Production models achieve performance, scalability, and reliability targets
- Bottlenecks are identified and resolved regardless of where they exist in the stack
- New hardware generations become usable by model teams
- Model onboarding becomes faster, more repeatable, and less operationally intensive
Skills
- * Bachelor's Degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages such as C++, or Python, or equivalent experience
- * Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
- * Understanding of modern AI model architectures, inference systems, and performance characteristics
- * Experience working with AI/ML frameworks, runtimes, or serving stacks such as PyTorch, ONNX Runtime, vLLM, TensorRT-LLM, or similar technologies
- * Experience diagnosing and resolving complex issues across software, systems, and hardware layers
- * Familiarity with performance analysis, distributed systems, accelerator architectures, or large-scale production services
- * Experience enabling software on new hardware platforms, accelerators, or large-scale systems through activities such as bring-up, performance characterization, hardware-software debugging, or platform enablement
- * Experience using AI-assisted engineering tools, agents, skills, and workflow automation to accelerate software development, debugging, code maintenance, investigation, and engineering productivity
- * Proficiency in software development with languages such as Python, C++, or equivalent technologies
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