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Added 20 mins ago
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Associate Software Engineer - Full Stack Developer
Franklin Templeton
Baltimore, MD
- $100,400 to $118,200 USD / year
…development. We partner with application development, data, infrastructure, security, governance, and AI teams to deliver enterprise-scale…
Added 28 mins ago
Field System Technician
Bechtel Corporation
Millersport, OH
…gas turbines, reciprocating engines, battery energy storage systems (BESS), substations, and associated balance of plant infrastructure. The scope includes major civil, mechanical,…
Added 37 mins ago
VP of Engineering
Jobgether
Remote, United States
…early-stage product into a scalable solution supporting major health systems and pharmacy partners. You will oversee full-stack product development, technical architecture, cloud…
Added 44 mins ago
Data Center Technician, 3PDC
Google
Phoenix, AZ
Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g. Systems Administration, Network Deployment Engineer, Help Desk Technician,…
Added 44 mins ago
Senior Staff Software Engineer, AI/ML, Multimodal Rich Features
Google
Mountain View, CA
5 years of experience in a technical leadership role, and 5 years managing people.
Added 50 mins ago
Site Reliability Manager, Android SRE
Google
San Francisco, CA
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to…
Added 50 mins ago
Senior Software Engineering Manager, AI/ML
Google
San Francisco, CA
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical…
Added 50 mins ago
Senior Staff Hardware Engineer Technical Lead, AI Infrastructure
Google
Sunnyvale, CA
8 years of experience working in a hardware systems development, including experience in the functional management and oversight of hardware programs technical environment.
Added 50 mins ago
Staff Software Engineer, Agentic, Optimization, Recursive Self-Improvement
Google
Mountain View, CA
In this role, you will help set and execute the technical direction as part of a strong team for autonomous, closed-loop agentic systems that continuously optimize, compress, and modularize…
Added 50 mins ago
Staff Software Engineer, Accelerators Systems Platforms Software Architect
Google
Sunnyvale, CA
5 years of experience working with embedded operating systems.
Added 50 mins ago
Lead MV Electrical Engineer, PE - Power & Infrastructure
Monterra
Remote, United States
We're hiring our first MV Electrical Engineer, who will serve as the technical authority and in-house subject matter expert on medium-voltage power systems. You’ll work closely with our…
Added 1 hour ago
AWS DevOps/Security Engineer Senior/Architect
Jobgether
Remote, United States
We are seeking a highly experienced AWS DevOps/Security Engineer Senior/Architect to design, build, secure, and operate enterprise-scale cloud environments. This role plays a critical part…
Added 1 hour ago
Field System Technician
Bechtel
Millersport, OH
…gas turbines, reciprocating engines, battery energy storage systems (BESS), substations, and associated balance of plant infrastructure. The scope includes major civil, mechanical,…
Added 1 hour ago
J
Technical Architect Senior
Jobgether
Remote, United States
- $201,950 USD / year
At least 5 years of professional experience as an Information Systems Architect, Technical Architect, Software Engineer, Enterprise Systems Architect, or in a closely related position.
Added 2 hours ago
J
Software Engineer Lead
Jobgether
Remote, United States
- $105,000 to $135,000 USD / year
As a Software Engineer Lead, you will oversee the design, development, and lifecycle management of enterprise software solutions supporting digital banking, financial applications, and…
Added 2 hours ago
J
Senior Machine Learning Engineer, Inference
Jobgether
Remote, United States
- $250,000 to $300,000 USD / year
…language model (LLM) technology. As a Senior Machine Learning Engineer, you will own inference optimization from research through production deployment, helping bring sophisticated models…
Added 2 hours ago
O
Senior Network Developer
Oracle
Seattle, WA · Nashville, TN · Redwood City, CA · Santa Clara, CA · Reston, VA
- $91,400 to $187,000 USD / year
As a Sr Network Development Engineer, you will be responsible for helping design, build, test, deploy and operate highly scalable solutions to support Oracle’s next-generation Cloud…
Added 2 hours ago
Hardware/Software Co-Design Engineer, Inference
Google
Sunnyvale, CA
In this role, you will act as a key technical anchor bridging the gap between model architecture innovation and next-generation hardware design. You will operate cross-functionally across…
Added 2 hours ago
I
Member of Technical Staff, Product Security
Inferact
San Francisco, CA
- $200,000 to $400,000 USD / year
We're looking for a Member of Technical Staff, Product Security to secure the Inferact product as it moves from early deployments to production use by enterprise customers. Customers trust…
Added 2 hours ago
Senior Software Engineer - Cloud SaaS - IE&A
Jobgether
Remote, United States
We are looking for an experienced Senior Software Engineer to help build and scale a new cloud-based SaaS platform from the ground up, serving the welding and fabrication industry. In this…
Added 2 hours ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
We are seeking an experienced Senior Data Engineer to help build, operate, and optimize the data infrastructure powering analytics and business intelligence across global markets. In this…
Added 2 hours ago
P
Electrical Engineer
Pfizer
Andover, MA
- $82,700 to $137,900 USD / year
…manufacturing processes or supporting the upkeep of critical systems, engineering is crucial to ensuring customers and patients receive the medicines they need. By collaborating with our…
Added 2 hours ago
Power System Controls Engineer – Data Centers
Jacobs
Boston, MA
Jacobs’ Energy & Power business is seeking a Power System Controls Engineer to support conceptual planning, design, modeling, integration, and validation of Data Center controls ecosystem…
Added 3 hours ago
Staff Software Engineer, Cloud ML Compute Services
Google
Kirkland, WA
5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
Added 3 hours ago
J
Lead Site Reliability Engineer
Jobgether
Remote, United States
- $150,000 to $175,000 USD / year
In this role, you will play a key leadership role in driving cloud infrastructure modernization, automation, and operational excellence. You will design, build, and maintain scalable…

Microsoft

Principal Software Engineer - AI Infrastructure

WA, United States
Redmond, WA, United States
Redmond, United States

$142,800 to $304,200 USD / year

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Job details

Pay: $142,800 to $304,200 USD / year
Apply by: May 2, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

Overview

Help build the infrastructure that trains the next generation of agentic Artificial Intelligence (AI) models at Microsoft. The Cloud + AI (C+AI) organization builds the end-to-end AI stack that powers innovation across Azure and Microsoft. The Foundry, Inference and Training (FIT) Training Team is where frontier-scale model training meets production-grade engineering. You will work alongside engineers and researchers to advance the scientific methods and scalable infrastructure used to train Large Language Models (LLMs), Small Language Models (SLMs), and agentic models, spanning both proprietary and open-weight models and building on open-source training frameworks. Your work will directly shape how reliable, enterprise-grade agentic workflows are built across the company and experienced by the customers who depend on them.

As a Principal Software Engineer on this team, you will own the architecture and technical direction of major components of the training platform and drive them from ambiguous problem statements through production operation. You will keep the customer at the center of every decision, partnering directly with the researchers and product teams who rely on the platform to understand their needs, remove friction, and measure success by their outcomes. You will set the technical bar for the team through design leadership, code and test-strategy reviews, and mentorship, and you will partner across C+AI and with partner organizations to align infrastructure roadmaps with model training and evaluation needs. This opportunity will allow you to deepen your expertise in large-scale distributed systems for AI training, develop firsthand understanding of how frontier proprietary and open-weight models are trained and evaluated, and grow your influence as a technical leader who shapes architecture, engineering practices, and the next generation of engineers on a fast-moving, startup-style team.

We are looking for a curious, independent, adaptable, and customer-obsessed problem-solver who thrives on continuous learning, is energized by evolving priorities, and is motivated by the impact your work has on the people who use it. You write efficient, well-tested code, enjoy debugging hard problems in complex distributed systems, and share what you learn. You iterate quickly, adjust course when the evidence calls for it, and collaborate effectively in a dynamic environment. 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

Own the architecture and technical direction of major components of the training platform for Large Language Models (LLMs), Small Language Models (SLMs), multimodal, code-specific, and open-weight models, ensuring designs meet scalability, reliability, security, and cost-efficiency requirements.
Partner directly with customers, including researchers and product teams across Microsoft, to understand their training and evaluation needs, translate them into platform requirements, and measure success through customer experience and outcomes.
Drive ambiguous, multi-quarter initiatives from proposal to production, breaking work into milestones, identifying dependencies, and negotiating ownership and delivery commitments with partner teams across Cloud + AI (C+AI).
Build on and extend open-source training frameworks (for example, PyTorch, DeepSpeed, Megatron-LM, and Hugging Face libraries), adapting them for proprietary and open-weight models and contributing improvements back to the community where appropriate.
Design and build services that serve production traffic while meeting Microsoft security, privacy, Responsible AI, and compliance requirements, including auditable evidence of compliance.
Lead debugging and resolution of complex issues in distributed training jobs and production services; participate in the on-call rotation as a Designated Responsible Individual (DRI), lead incident retrospectives, and improve troubleshooting guides, testing, safe deployment, and monitoring.
Mentor engineers and raise the technical bar through design reviews, code reviews, and ownership of the team's test strategy, while championing AI-assisted engineering tools and practices across the software development lifecycle.

Qualifications

Required Qualifications:

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, or Python OR equivalent experience.

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++, C#, Java, JavaScript, 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, or Python OR equivalent experience.
5+ years designing, building, and operating large-scale distributed systems or cloud platforms with end-to-end ownership of production services, including Kubernetes-based containerized platforms on Microsoft Azure, Amazon Web Services (AWS), or Google Cloud, control-plane or backend services that manage compute, storage, and networking, and secure multi-tenant designs covering authentication, authorization, workload identity, quota management, and isolation.
3+ years building machine learning training infrastructure, such as Graphics Processing Unit (GPU) cluster scheduling, data pipelines, and checkpointing and storage systems, using open-source training frameworks such as PyTorch Fully Sharded Data Parallel (FSDP), DeepSpeed, Megatron-LM, Hugging Face Transformers and Accelerate, or Ray Train; contributions to open-source projects are a strong plus.
2+ years training, fine-tuning, or evaluating open-weight models (for example, Llama, Mistral, Phi, Qwen, or DeepSeek model families) at multi-node scale.
2+ years building or operating Reinforcement Learning (RL) post-training pipelines for Large Language Models (LLMs) and agentic models using verl, slime, MILES, or comparable frameworks, with a demonstrated understanding of the end-to-end training stack, including pretraining and post-training frameworks, Reinforcement Learning Environments (RLEs), rollout inference engines (for example, vLLM or SGLang), evaluation, and checkpointing, and how design choices at each layer affect throughput, stability, and cost.
3+ years serving as an on-call or Designated Responsible Individual (DRI) engineer for production services operating against defined availability or latency targets, including incident response, postmortems, structured logging, distributed tracing, dashboards, alerting, automated validation, and incident playbooks.
2+ years partnering directly with internal or external customers to define requirements, instrument customer experience (for example, adoption, satisfaction, or time-to-first-result metrics), and prioritize engineering work by customer impact.
Experience leading technical design across 2+ teams, driving ambiguous multi-quarter initiatives to completion, and mentoring senior engineers.

#AIPLATFORM #AIINFRA

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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More about this job

Skills

Scientific research methodology
Leadership
Debugging
Customer experience
PyTorch
Hugging Face
Troubleshooting
Software development
Computer science
C
C++
C#
Oracle Java
JavaScript
Python
Kubernetes
Microsoft Azure
AWS
Google Cloud
Machine learning
Scheduling
Incident response
Coaching

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