This software engineer role is part of the Cloud + AI team, focusing on creating secure and high-performance AI experiences across various modalities. The position involves working on the full technology stack, from APIs to inference infrastructure for AI models. The role is based in either Mountain View, CA or Redmond, WA, and seeks engineers who excel in fast-paced environments and enjoy solving complex technical challenges. Microsoft values collaboration, innovation, and a growth mindset among its employees.

• Bachelor's Degree in Computer Science or related technical field and 2+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python.
• Master's Degree in Computer Science or related technical field and 3+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python.
• Bachelor's Degree in Computer Science or related technical field and 5+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python.
• Core technical competencies in distributed systems, scalable architecture, API design, and understanding of ML/AI fundamentals.
• Familiarity with tools and frameworks such as Kubernetes, Azure Devops, Docker, and AI/ML frameworks.

• Design and build scalable, reliable architectures for AI systems including inference backends and API interfaces.
• Debug and optimize existing components to quickly identify and resolve issues.
• Collaborate with internal teams and external partners to solve complex problems and deliver integrated solutions.
• Identify innovative technical approaches that unlock new possibilities and architect features with measurable goals.
• Engage with components across the entire stack to deliver end-to-end solutions.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.