Principal Firmware AI Architect at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

251900.0

Posted On

22 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, ML, Firmware, Software, System Design, SoC Architecture, Debugging, Modular ML Frameworks, Hardware Error Prediction, Deep Learning Algorithms, Communication, Collaboration, Python, Databricks, Synapse

Industry

Software Development

Description

- Define a roadmap for AI / ML usage across Firmware / Software Teams based on business ROI - Evaluate emerging AI technologies and their applicability to Secure System design for SoC Architecture, development and operational practices, leading to measurable increase in team efficiencies - Work closely with product architects, firmware teams, and product managers to provide critical guidance and system-level debugging using AI tools leading to increase in debugging efficiencies - Develop and implement modular ML frameworks for hardware error prediction to enhance system reliability - Ensure seamless integration of AI solutions with both hardware and software components - Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience - OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience - OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience - 1+ years of industry experience with common ML engineering programming languages and platforms such as Python, Databricks, Synapse, or equivalent platforms. - Experience with any of building, deploying, and optimizing large-scale AI/ML models in real-world applications. - OR Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 10+ years of technical engineering experience - OR Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ years of technical engineering experience - Understanding of hardware and devices, or familiarity with OS device drivers and hardware health error reporting. - High tolerance to ambiguity and ability to make progress when situations are in flux. - Experience in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiency. - Proven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applications. - Proven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applications. - Self-motivated and able to work independently with minimal supervision. - Communication and collaboration skills, with the ability to work effectively in cross-functional teams. Firmware Engineering IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 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 $165,600 - $272,300 per year. Certain roles may be eligible for benefits and other compensation. SCHIE #azurehwjobs This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *

Responsibilities

Define a roadmap for AI/ML usage across Firmware/Software Teams and evaluate emerging AI technologies for Secure System design. Work closely with product architects and firmware teams to enhance debugging efficiencies and system reliability through AI tools.