Microsoft
Senior Systems Engineer
$120K–$261K
Mountain View, CA +2 · On-site · Senior · Full-time · Posted Sep 15, 2026
- Location
- Mountain View, CA
Redmond, WA
Hillsboro, OR - Experience
- Required: 3+ years with a master’s degree or 5+ years with a bachelor’s degree, or equivalent experience; additionally, the posting lists 5+ years for three hands-on experience areas. Preferred alternatives: doctorate plus 3+ years, master’s plus 6+ years, or bachelor’s plus 8+ years, or equivalent experience.
- Education
- Master’s or bachelor’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field; equivalent experience is also accepted. Preferred education includes a doctorate, with stated experience alternatives.
About the job
Designs, integrates, validates, and debugs hardware platforms for Microsoft’s AI and cloud datacenters, from requirements through deployment.
What you'll do
- Collaborate across engineering and customer teams to develop AI, compute, storage, networking, and accelerator hardware solutions.
- Analyze interfaces and subsystems, plan integration, evaluate power efficiency, debug issues, and recommend mitigations.
- Define platform behavior and requirements, contribute to architecture, and deliver for quality, reliability, and performance.
What they ask for
- Master’s degree in a specified engineering field and 3+ years of technical engineering experience, or bachelor’s degree in a specified engineering field and 5+ years, or equivalent experience.
- 5+ years of hands-on experience with ARM- or x86-based server hardware architecture, SoC development, high-speed interfaces, and hardware/firmware/OS interactions.
- 5+ years troubleshooting complex system-level issues and performing root-cause analysis.
- 5+ years with platform-level test architectures and debugging tools or programming/scripting languages.
Nice to have
- Experience with post-silicon validation, platform bring-up, system integration, or server platform validation.
- Experience with OEM hardware designs, high-speed interfaces, operating systems or firmware, workload benchmarks, or AI/ML workloads.
Pay
USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary)
Tools
ARM, x86, SoC, DDR, HBM, PCIe, Ethernet, Lauterbach
AI focus
Develops and validates hardware platforms for AI training and inference, including AI accelerators and systems supporting AI/ML workloads.
Model-written summary · the original posting is authoritative