Microsoft Hardware Engineer 

United States, California, Mountain View 

161631922

The SPARC organization manages Azure’s hardware roadmap from architecture concept through

Required/minimum qualifications

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, or related field AND 2+ years technical engineering experience

  • OR Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field

  • OR equivalent experience

• 2+ years of experience in SOC power architectural trade-off analysis or design

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.

Additional or preferred qualifications

• 4+ years related technical engineering experience
• OR Master's Degree in Electrical Engineering, Computer Engineering AND 2+ years technical engineering experience
• OR Bachelor's Degree in Electrical Engineering, Computer Engineering, AND 4+ years technical engineering experience
• Deep understanding of computer architecture, SOC and system-SW architectures, and their power/performance tradeoffs.
• Experience developing SOC power and performance modeling techniques and benchmarks from conception to microarchitecture specification to post-silicon validation.
• Understanding of memory and interconnect sub-systems.
• Experience in development of analysis tools written in C++ and Python.
• Knowledge of performance monitors and post-silicon SOC power and performance tuning.
• Familiarity with ASIC power analysis, low power design and power optimization.
• Experience with cloud platforms such as Azure
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Excellent problem-solving skills and attention to detail.
• Proficient communication and collaboration skills.
• Working knowledge of prevailing LLM models and frameworks like Tensorflow, Pytorch is a plus
• Familiarity with visualization and reporting tools like PowerBI is a plus

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Work with business, architecture, and design teams to understand power and performance requirements and collaborate across functional teams to meet these needs in technology development planning and path finding.
• Work with platform, firmware, and software teams across Microsoft to identify opportunities to improve system power and performance management with a goal of improved power efficiency across the stack.
• Develop in-house power and performance modelling methodology and tools for Machine Learning systems.
• Project and report power constrained SOC performance results to senior management.
• Maintain the power modeling infrastructure, used for power constrained performance projections.
• Work with IP Micro-architects and RTL team to incorporate low power design methodologies and power saving techniques. Identify IP/SOC power saving opportunities and drive definition of power saving uArch features.
• Understand product SOC power and performance interactions with power delivery and thermal solutions at the system level.
• Use case profiling, cloud computing workload analysis and PnP modeling, and correlation to post-silicon.
• Apply your growth mindset to learn and adapt in a complex and dynamic environment.
• Identify performance bottlenecks, optimize resource utilization, and implement improvements to enhance performance.
• Come up with dashboards to maintain Power-Performance visualization and build infrastructure for improving the analysis framework
• Guide teams in designing, building, testing, and deploying changes to existing software.
• Identify manual processes that can be automated.
• Consider the organization’s entire infrastructure when making changes and improvements.
• Collaborate with team members to define product requirements and implementation.
• Embody our and