Senior Machine Learning Engineer
Microsoft
NewYou'll work on high-performance chip design for Microsoft's AI systems, focusing on microarchitecture specification, RTL design, synthesis, and system-on-chip integration while collaborating with architecture, verification, and physical design teams. The role requires a doctorate with 3+ years of experience, a master's with 6+ years, or a bachelor's with 8+ years in electrical engineering, computer engineering, or related fields. Key skills include digital design, Verilog/SystemVerilog, and timing closure. Based in the U.S., with higher pay in San Francisco Bay Area and New York City. Salary ranges from $142,800–$274,800 nationally, or $188,000–$304,200 in specified locations.
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.
We are looking for a Principal Design Engineer to work in the dynamic Microsoft Artificial Intelligence System on Chip (AISoC) Silicon team. The candidate must be a highly motivated self-starter who will thrive in this cutting-edge technical 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.
#SCHIE
You will be part of the design team driving many facets of high performance, high bandwidth designs. The tasks will include working on Intellectual Property (IP) microarchitecture specification, Register Transfer Level (RTL) design, synthesis, and System on Chip (SOC) integration on different subsystems. Throughout the program you will be interacting with various teams, including architecture, verification, and physical design, ensuring that the design is implemented and verified to the spec
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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