Principal AI System Architect

Microsoft
Redmond, WA, United States
6 days ago
Apply on www.jobmonkeyjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$142,800.0 - $274,800.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Online Services Computer Engineering Network Congestion Data Centers Network Topologies InfiniBand Systems Architecture

Job description

  • Define AI rack- and cluster-scale architecture across accelerator, host, network, memory, storage, power, cooling, and datacenter constraints. Make quantitative tradeoffs across performance and TCO.
  • Develop functional proof-of-concepts to evaluate and de-risk new capabilities

  • Write and own high-level product requirements and specifications

  • Drive alignment across cross-functional engineering and leadership teams. Own the outcomes.
  • Use performance simulations and hardware models for what-if studies to evaluate and choose between architecture options.

  • Industry influence: Participate in industry consortiums to shape standards, and influence vendor roadmaps.

Requirements

We are seeking a passionate Principal AI System Architect to join the team. In this role you will own and define the system architecture requirements; it is a broad role with the ability to make a direct impact on Microsoft AI accelerator systems., * Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ years technical engineering experience OR Bachelor’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience OR equivalent experience.

Other Requirements

  • Abilityto meet Microsoft,customerand/or government security screening requirementsarerequiredfor this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will berequiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter., * Doctorate in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years of technical engineering experience OR Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience OR Bachelor’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 12+ years technical engineering experience OR equivalent experience
  • Experience in large scale AI datacenter systems and their network
  • Demonstrated expertise in one or more of these domains: networking (RoCE, Infiniband transports, congestion control, network topology design), reliability and serviceability, datacenter architecture for large scale AI systems
  • Experience owning hardware system architecture at scale - machine, rack row and cluster, authoring specifications and requirements
  • Ability to make decision trade-offs across domains
  • Deep expertise in AI systems or a key domain such as networking, reliability, power management
  • Skilled in partnering and influencing architects, hardware engineers, and software leads
  • Ability to manage through ambiguity,bringingclarity to establish direction and driving decisions
  • Collaboration skills,teamwork,and senseof presumed responsibility

Hardware 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.

About the company

Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross-team collaboration, with business insight and strategy?

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 achieve 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Join the Systems Pathfinding and Architecture(SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission.Microsoft delivers more than 200 online services to more than one billion individuals worldwide, and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft’s cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobmonkeyjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:57 min

Routing cross-rack traffic seamlessly with NCCL

Kevin Klues Kevin Klues · World Congress 2025

51 sec

Repurposing hardware and operating underwater data centers

Chris Heilmann +1 · LIVE

1:03 min

Real-world failures caused by congested mobile networks

Alex Walling Alex Walling · World Congress 2025

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

3:17 min

Transitioning gaming platforms from legacy blockchain architectures

Jimmy Nguyen +1 · LIVE

4:03 min

Managing massive power consumption scaling in AI data centers

Stephan Gillich Stephan Gillich +3 · World Congress 2024

Videos

See all

Related articles

See all