Senior and/or Principal Software Engineer - AI Frameworks Networking, Systems and Tools
Microsoft (Eightfold Apply)
- Location
- United States, Multiple Locations, Multiple Locations
- Work model
- On-Site
- Level
- Principal
- Posted
- 2h ago
Skills
About this role
Overview
The AI Frameworks team at Microsoft develops AI software that enables running AI models everywhere, from world’s fastest AI supercomputers, to servers, desktops, mobile phones, IoT devices, and internet browsers. We collaborate with our hardware teams and partners to build the software stacks for novel AI accelerators. We work closely with ML researchers and developers to optimize and scale out model training and inference. The team operates at the intersection of AI algorithmic innovation, purpose-built AI hardware, systems, and software. We are a cross-discipline team of highly capable and motivated people with a collaborative and inclusive culture. As a Senior and/or Principal Software Engineer - AI Frameworks Networking, Systems and Tools (AIFX NeST) team, you will be responsible for designing, implementing, and ensuring quality of systems stack, related tools and its integration with Azure and timely delivery as part of software development kit (SDK). This is a technical role that demands hands-on experience in all phases of software development: concept, software design, implementation, and verification. An entrepreneurial mindset and quick adaptation to innovative ideas and concepts are critical for fast ramp-up and contribution to a large-scale project. Knowledge of computer architecture and/or embedded programming is essential for successful candidates. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond Responsibilities Apply strong engineering principles for defining robust and maintainable architectures and designs. Collaborate broadly across multiple disciplines from hardware designers to ML developers. Help establish and drive the adoption of good coding standards and patterns. Perform software development in C/C++, C#, Python, and other languages. Identify requirements, scope solutions, estimate work, schedule deliverables.
Qualifications
Required Qualifications: Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C++, C, or Python OR equivalent experience. Other Qualifications: 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.
Preferred Qualifications
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C++, C, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C++, C, or Python OR equivalent experience. 3+ years of experience in systems programming (C, C++, Rust, C#, or similar), with a focus on low-level or performance-critical software Solid understanding of memory models, concurrency, and interprocess communication Experience working on infrastructure involving hardware interfaces or device communication (e.g., PCIe, DMA, RDMA, or similar) Familiarity with Graphics Processing Unit (GPU), Tensor Processing Unit (TPU), or other accelerator architectures and their runtime systems Experience implementing communication protocols or working with driver/kernel interfaces Exposure to observability or profiling tools (e.g., eBPF, trace buffers, performance counters, telemetry hooks) #AIInfra