Principal Software Engineering, AI Infrastructure
Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Molnteknik
I korthet
Ansvarsområden
- Develop systems for AI Workload management, scheduling, preemption, and failover.
- Develop systems for AI Workload serving.
- Design and build GPU accelerated infrastructure for training and inference workloads.
- Build and operate advanced orchestration and resource governance scenarios using platforms such as AKS and related Kubernetes ecosystem capabilities.
- Design, Develop, test, and maintain services written in C#, Golang hosted on Kubernetes clusters.
- Optimize performance, reliability, and utilization across large GPU fleets.
- Drive end-to-end platform features from design through production, including observability, diagnostics, and operational excellence.
- Influence platform architecture and technical direction across teams through design reviews and technical leadership.
Krav
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Linux, Go or Python OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Must pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Önskade kvalifikationer
- 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++, C#, Java, JavaScript, Linux, Go 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++, C#, Java, JavaScript, linux, Go or Python OR equivalent experience.
- Proven ability to design and operate large scale, production infrastructure with high reliability and performance requirements.
- Demonstrated problem-solving skills and the ability to debug complex, cross layer systems issues.
- Demonstrated technical leadership, including mentoring engineers and driving cross team architectural alignment.
- Hands-on experience with resource scheduling, preemption, priority handling on large clusters.
- Advanced collaboration and communication skills, with the ability to work across organizational boundaries.
- Experience with large-scale online Inferencing services.
- Experience in building or operating multitenant AI platforms in cloud environments.
- Familiarity with inference and/or distributed training stacks (e.g., NCCL style collectives, model/data parallelism, Large-Language Models).
- Familiarity with GPU accelerated computing (e.g., CUDA, GPU drivers, device plugins, or runtime integration).
- Dev-ops experience with microservices architecture in a complex infrastructure and operational environment.
Förmåner
- Opportunities to grow as a technical leader.
- Shape long term platform strategy.
- Work with experts across hardware, networking, and AI deployment and serving software.
- Contribute to mission critical infrastructure powering large-scale AI systems.
- Influence the future of cloud GPU platforms used by internal and external customers.
- USD $142,800 - $274,800 per year (US average base pay range).
- USD $188,000 - $304,200 per year (San Francisco Bay area and New York City metropolitan area specific base pay range).
- May be eligible for benefits and other compensation.
Färdigheter
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting…
Företag
MicrosoftPublicerade jobb
för 5 dagar sedan
Anställningstyp
Heltid
Arbetsform
Hybrid
Lön
142 800–274 800 US$ · Förhandlingsbar
Erfarenhetsnivå
Senior
Platser
United States
Kvalifikation
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