Senior Machine Learning Engineer
Microsoft
NewLead memory subsystem design and architecture for cloud AI infrastructure, driving solutions from microarchitecture through silicon bring-up. Requires a doctorate in electrical or computer engineering with 3+ years experience, or a master's with 6+ years, or a bachelor's with 8+ years. Essential skills include RTL design in Verilog/SystemVerilog, microarchitecture specification, and cross-functional collaboration with architecture, verification, and physical design teams. Work involves PCIe, HBM, and interconnect fabric optimization. Based in the U.S. with base pay of $142,800–$274,800 annually, or $188,000–$304,200 in the San Francisco Bay Area and New York City.
Written from this posting by Neural Jobs AI. The full description is below.
Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission.
As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the Artificial Intelligence System on Chip (AISoC) team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware. We are looking for engineers with a dedicated passion for customer focused solutions, insight and industry knowledge to envision and implement future technical solutions that will manage and optimize the Cloud infrastructure.
We are looking for a Principal Subsystem Design Engineer to join the team.
#SCHIE
Lead the design, integration, and verification of high-performance, complex SoC subsystems, with a focus on memory technologies, bandwidth, latency, utilization, power, and overall system efficiency.
Collaborate closely with Architecture, RTL Design, DV, Physical Design (PD), Design-for-Test (DFT), Firmware, and Post-Silicon teams to resolve system-level issues and deliver robust silicon.
Drive vertical and horizontal IP/component reuse across projects and platforms, ensuring scalable and efficient subsystem architectures.
Provide technical leadership through mentorship, design reviews, code reviews, and cross-functional collaboration, helping to establish and maintain engineering best practices.
Develop and optimize subsystem architectures involving PCIe, HBM, imaging and control subsystems, interconnect fabrics, AMBA AXI/CHI protocols, DMA engines, NoCs, and high-throughput data buffering and movement.
Drive design implementation, including microarchitecture specification, RTL development and integration using Verilog/SystemVerilog, synthesis, timing constraints, floor-planning considerations, performance optimization, and design-quality closure including CDC, lint, and RDC.
Debug complex design and system-level issues across simulation, emulation, and silicon, working across disciplines to identify root causes and implement effective solutions.
Drive execution in an Agile development environment, including sprint planning, feature deployment, code reviews, issue resolution, and continuous improvement of design and verification processes.
Champion high-quality engineering execution and contribute to delivering cutting-edge, custom IP and SoC solutions that meet demanding performance, power, efficiency, and schedule requirements.
Required Qualifications:
Other Requirements:
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:
9+ years of experience in RTL design with a proven track record of delivering high-performance IP, SS, or SoC designs such as PCIe, DDR, or HBM.
Expertise in microarchitecture specification, RTL coding, and design verification collaboration.
Experience in synthesis, timing constraints, power / performance / area (PPA) trade-offs and post-silicon debug.
Experience with design quality and static checks, DFT implementation and hand off to physical design.
Lead experience for an IP or SS related to CPUs, VPUs, GPUs, Direct Memory Access (DMA) engine, Tensor unit, or similar
Experience with lead roles across cross-functional / cross-time-zone engineering teams
Experience of working on Artificial Intelligence (AI) / Machine Learning (ML) SoCs
Experience in Scripting language such as Python or Perl
Silicon 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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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
143K - 275K Yearly
United States
Right to work in the United States required.Hybrid
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