Microsoft Logo

Microsoft

Principal Supercomputing Operations Software Engineer

Reposted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
143K-304K Annually
Senior level
Remote
Hiring Remotely in United States
143K-304K Annually
Senior level
Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.
The summary above was generated by AI
Overview

Microsoft Azure’s Artificial Intelligence and High Performance Computing (AI/HPC) organization powers some of the world’s largest cloud native supercomputers used for frontier AI training, scientific computing, and large scale distributed simulations. Our team builds and operates hyperscale GPU clusters that consistently place Azure among global leaders in the Top500, MLPerf, and Graph500 benchmarks. By joining us, you step into the engineering core responsible for ensuring these systems remain reliable, performant, and ready for the next wave of AI innovation.

At this scale, interconnect fabrics are a first order reliability system that directly determines GPU availability, training throughput, and customer SLAs. As a Principal Supercomputing Operations Engineer, you serve as the technical authority and strategic owner for interconnect fabric operations across flagship AI supercomputing environments. You treat InfiniBand and GPU interconnect fabrics as a single end to end reliability domain, defining how they are operated, debugged, hardened, and scaled in production. This is a hands on, production first leadership role operating at the intersection of architecture, live operations, and reliability engineering.

You will lead the most complex and impactful fabric related incidents, making high stakes technical decisions under ambiguity while balancing availability, risk, long term correctness, and customer impact. Beyond resolving incidents, you define failure models, operational strategy, and systemic prevention mechanisms that reduce recurrence at fleet scale. Your impact multiplies through technical leadership: setting operational standards, influencing engineering direction across teams, mentoring senior engineers, and partnering deeply with platform, hardware, firmware, and service teams to drive durable reliability improvements.

You will architect and drive automation, diagnostics, and telemetry that materially improve operability and debuggability of interconnect fabrics, and author authoritative playbooks, TSGs, and escalation models relied on across the organization. Through your judgment, designs, and operational strategy, Azure’s largest AI platforms scale safely, predictably, and sustainably to meet the demands of next generation AI workloads.

Microsoft’s mission is to empower every person and organization on the planet to achieve more. We work with a growth mindset, innovate to empower others, and collaborate to realize shared goals. Our culture is rooted in respect, integrity, and accountability, and we strive to build an environment where every engineer can learn, grow, and have real impact. As part of this team, you’ll help shape the next generation of cloud scale AI infrastructure and contribute to an inclusive culture where your expertise makes a difference every day.


Responsibilities
  • Serve as the technical authority and DRI for InfiniBand and GPU interconnect fabric operations across large scale AI supercomputing environments, ensuring sustained GPU availability, training stability, and SLA compliance
  • Lead and orchestrate complex, high severity fabric incidents end to end, including detection, triage, mitigation, recovery, and root cause analysis, making high impact decisions under ambiguity
  • Perform deep, multi layer systems debugging across InfiniBand, Subnet Manager, GPU interconnect, PCIe, GPUs, firmware, drivers, and OS layers to identify true root causes at fleet scale
  • Drive operational excellence and systemic prevention by identifying recurring failure patterns, defining reliability models and failure domains, and authoring authoritative TSGs, playbooks, and escalation frameworks adopted across teams
  • Architect and drive automation, telemetry, diagnostics, and tooling that materially improve detection, observability, debuggability, and mean time to mitigation, raising the operational bar for interconnect fabrics across the platform 

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.

 

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:

  • Bachelor's Degree in Computer Science
    • OR related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
    • OR 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 equivalent experience.
  • 6+ years of experience operating large‑scale distributed systems, high‑performance computing (HPC), or artificial intelligence (AI) infrastructure in production environments 

    Demonstrated ownership of mission‑critical production infrastructure with direct impact on service availability, GPU workloads, and customer SLAs 

    Hands‑on experience operating and debugging interconnect fabrics supporting large‑scale compute workloads 

    Strong Linux systems knowledge with experience debugging low‑level infrastructure issues across operating systems, drivers, and services 

    Proven ability to reason across hardware, firmware, drivers, and software stacks to diagnose and resolve complex production issues 

     

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.

Similar Jobs

25 Minutes Ago
In-Office or Remote
United States
Senior level
Senior level
Big Data • Information Technology • Software • Analytics • Energy
Leads delivery of complex software features for desktop utility design tools, translating ambiguous requirements into technical plans and managing performance, correctness, and reliability. Establishes architecture, coding standards, CI/CD and AI-assisted development practices; mentors engineers and leads design and code reviews. Partners with product, QA, delivery, and customers to create reusable solutions, contribute to roadmaps, and represent the team in architecture discussions.
Top Skills: Ai Coding AssistantsArcgisCadCi/CdGe SmallworldGisIbm MaximoIntergraph G/TechnologySAPScrum
An Hour Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate Property and Casualty coverage, and convert prospects into policyholders. Complete paid licensing and sales training, represent the Liberty Mutual brand, maintain strong customer relationships, and work a schedule including one weekend day. Remote employees must maintain a professional workspace and reliable wired high-speed internet.
Top Skills: PcWired High-Speed Internet
3 Hours Ago
Remote
USA
280K-420K Annually
Expert/Leader
280K-420K Annually
Expert/Leader
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads strategic capture, sales, and customer engagement for X-BAT and advanced systems supporting U.S. Air Force markets. Shapes solicitations, guides acquisition-office interactions, builds program-office and industry relationships, influences requirements and policy, and drives teams toward high-value, multi-year Air Force contract wins. Owns the business development lifecycle for emerging aerospace and defense technologies.
Top Skills: Aechelon Simulation And Synthetic Reality TechnologiesHivemind Autonomy SoftwareX-Bat Aircraft

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account