Full-Time

Principal SOC Modeling Architect

Firmware Engineering

Posted on 8/22/2026

Microsoft

Microsoft

10,001+ employees

Develops software, OS, and cloud services

Compensation Overview

$142.8k - $304.2k/yr

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 4 more

More locations: Raleigh, NC, USA | Redmond, WA, USA | Hillsboro, OR, USA | Mountain View, CA, USA

In Person

Bachelor's, Master's, PhD

Category
Hardware Engineering (1)
Required Skills
Palladium
C/C++
FPGA

Get referred to Microsoft

See people who can refer or advise you

Requirements
  • A doctorate in Electrical Engineering, Computer Engineering, Computer Science, or a related field and 3+ years of technical engineering experience; or a master's degree in one of these fields and 6+ years of experience; or a bachelor's degree in one of these fields and 8+ years of experience; or equivalent experience.
  • Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Responsibilities
  • Develop firmware and software before hardware exists.
  • Influence silicon architecture and platform strategy across Azure hardware programs.
  • Solve complex modeling, firmware, bring-up, and system integration problems.
  • Work across multiple programs as a trusted technical leader.
  • Shape virtual platform and hybrid development strategy.
  • Build reusable solutions for firmware, validation, architecture, and platform teams.
  • Lead resolution of system-level challenges spanning virtual platforms, firmware, silicon architecture, validation infrastructure, software enablement, and hybrid execution environments.
  • Define architectural direction for SystemC/TLM-based virtual platforms supporting multiple generations of Azure silicon.
  • Identify technical risks, technology gaps, and scaling challenges across programs, and drive solutions adoptable by multiple teams.
  • Establish engineering standards, modeling practices, reusable frameworks, debug strategies, and validation approaches.
  • Work across multiple silicon programs as a shared technical leader and subject matter expert.
  • Define reusable platform capabilities across Azure hardware initiatives.
  • Influence silicon architecture, firmware readiness, validation methodologies, and platform bring-up strategy.
  • Drive alignment across architecture, design verification, firmware, operating system, emulation, prototyping, and platform teams without relying on direct authority.
  • Design and develop SystemC/TLM-2.0 models for complex SoC subsystems, including PCIe, memory, boot infrastructure, compute clusters, interconnect, and platform services.
  • Develop and debug low-level firmware and validation software running on virtual platforms.
  • Support firmware bring-up activities, including UEFI, Windows Boot, PCIe initialization, platform enumeration, early driver enablement, and operating system integration.
  • Debug interactions spanning hardware, firmware, operating systems, virtualization environments, simulation infrastructure, host systems, and modeling frameworks.
  • Analyze and optimize simulation performance, scalability, usability, and debug productivity across large SoC and multi-SoC environments.
  • Contribute to integration of virtual platforms with ZeBu, HAPS, Helium, Palladium, and Protium.
  • Help define hybrid development strategy by combining simulation, emulation, and prototyping technologies.
  • Partner with design verification, firmware, architecture, and platform teams to determine the value of virtual models, emulation, FPGA prototyping, and hybrid flows.
  • Mentor engineers through design reviews, architecture guidance, technical coaching, and hands-on problem solving.
  • Prototype, prove, and de-risk complex solutions before transitioning ownership to development teams.
  • Build organizational capability so engineers can understand, maintain, and extend solutions after initial architecture direction is established.
  • Promote reusable, maintainable, and scalable solutions rather than short-term fixes.
Desired Qualifications
  • A doctorate in Electrical Engineering, Computer Engineering, Computer Science, or a related field and 5+ years of technical engineering experience with coding; or a master's degree in one of these fields and 8+ years of experience with coding; or a bachelor's degree in one of these fields and 12+ years of experience with coding; or equivalent experience.
  • 3+ years of experience leading technical projects from beginning to end.
  • Experience with SystemC and TLM-2.0 modeling.
  • Experience with Synopsys Virtualizer, Arm Fast Models, Cadence Helium, or similar virtual platform technologies.
  • Experience developing or debugging firmware, bootloaders, device drivers, platform software, PCIe firmware, UEFI, Windows Boot, Linux Boot, or silicon bring-up activities.
  • Experience with SoC architecture, interconnects, IP integration, PCIe, USB, memory subsystems, boot flows, or platform services.
  • Experience optimizing simulation performance, scalability, and debug productivity in simulation or system environments.
  • Experience with hybrid, emulation, or prototyping environments including ZeBu, HAPS, Palladium, Protium, or similar platforms.
  • Experience defining reusable platform architecture, modeling frameworks, reusable IP libraries, or engineering standards across multiple programs.
  • Ability to solve ambiguous, high-impact technical problems and influence technical direction across organizations without direct authority.
  • Strong intuition for hardware/software interactions, system performance bottlenecks, and practical engineering tradeoffs.
  • Experience mentoring engineers, transferring knowledge, and building organizational capability beyond a single project.
  • Experience developing complex software systems using C/C++.
  • Experience in firmware, systems software, silicon development, virtual platforms, or pre-silicon development environments.
  • Experience working across hardware, firmware, and software boundaries.
  • Experience leading technical projects from architecture through delivery.
  • Strong debugging, root-cause analysis, and technical problem-solving skills.

Microsoft develops software, devices, and cloud services. Windows is an operating system that runs on personal computers, Office provides productivity apps, and Azure offers cloud computing and developer tools. The company differentiates itself with a large, integrated ecosystem of software, devices, and services, plus long-standing partnerships with PC makers and a broad enterprise footprint. Its goal is to put a computer on every desk and in every home, and to extend that reach through cloud services, professional networking (LinkedIn), and gaming.

Company Size

10,001+

Company Stage

IPO

Headquarters

Redmond, Washington

Founded

1975

Get referred to Microsoft

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Fiscal 2026 revenue reached $331.8 billion, up 18%, with strong operating leverage.
  • Azure crossed $100 billion annual revenue in fiscal 2026, while growing 43% year over year.
  • Microsoft 365 Copilot passed 30 million paid seats, proving enterprise willingness to pay.

What critics are saying

  • July 23, 2026 Azure maintenance bug broke Copilot, Teams, Graph, and Microsoft 365 globally.
  • July 6, 2026 Microsoft cut 4,800 jobs, including 3,200 Xbox roles, signaling internal strain.
  • OpenAI supplies roughly 70% of Microsoft AI revenue, creating concentration and dependency risk.

What makes Microsoft unique

  • July 29, 2026: Microsoft commercial backlog hit $678 billion, locking in future revenue.
  • Office, Windows, and Azure create unmatched distribution across work, devices, and cloud.
  • Microsoft Foundry and Copilot bundle models, apps, and commerce into one enterprise platform.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Professional Development Budget

Conference Attendance Budget

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

0%
Yahoo Finance
Aug 22nd, 2026
Wall Street demands proof AI spending pays off as tech firms commit over $700B

Investor sentiment around artificial intelligence is shifting towards demanding concrete returns rather than just ambitious spending promises. Tech companies plan to invest over $700 billion in AI this year, with expectations of further increases. Recent earnings revealed a clear divide. Microsoft, Amazon, and Palantir saw double-digit stock price jumps after demonstrating strong results. Microsoft maintained $19.9 billion in quarterly free cash flow despite heavy AI investments, whilst Amazon's cloud division posted its fastest growth in four years, with its AI business exceeding a $25 billion annual run rate. Meanwhile, Meta Platforms, Alphabet, and Tesla faced investor scepticism over their substantial AI expenditures without comparable proof of returns. The market has entered what analysts call the "show me" phase, where tangible financial results from AI investments now matter more than spending commitments alone.

Yahoo Finance
Aug 22nd, 2026
Microsoft's $678B backlog drives $590 price target with 22% upside

Microsoft reported a $678 billion commercial backlog and Azure surpassing $100 billion in annual revenue, growing 41%. The company posted fiscal 2026 revenue of $331 billion, up 18%, with Q4 non-GAAP EPS of $4.74 beating consensus by 11.81%. Microsoft 365 Copilot reached over 30 million paid seats, with net seat additions more than doubling quarter over quarter. Azure guidance implies approximately 45% constant-currency growth in Q1 FY27. However, full-year capital expenditure hit $115.95 billion, up 79.62%, while free cash flow fell to $66.99 billion, down 6.46%. The company's OpenAI investment resulted in $3.1 billion in Q1 FY26 losses. Shares are up 21.2% over the past month but roughly flat year to date. Analysts cite the recurring revenue backlog as a key differentiator in the AI market.

Yahoo Finance
Aug 21st, 2026
$7.6T AI spending gap risks Nvidia margins as Microsoft turns cheap inference into recurring revenue

Goldman Sachs estimates $7.6 trillion in cumulative AI capital spending from 2026 through 2031, whilst OpenAI and Anthropic generated combined annualised revenue exceeding $105 billion by August 2026. The industry must scale annual recurring revenue past $1 trillion by 2030 to avoid infrastructure write-downs on hardware with 3-to-5-year lifecycles. Nvidia faces exposure as its 74.9% quarterly gross margin depends on scarce GPU demand, whilst hyperscalers deploy internal chips like Google's TPUs and Amazon's Trainium. The shares traded at 25.64 times forward earnings as of 17 August. Microsoft's AI operations exceeded a $37 billion annual run rate in the March quarter, up 123% year-on-year. GPT-4-level inference costs have fallen 50-fold, potentially expanding market demand.

Yahoo Finance
Aug 21st, 2026
Microsoft launches agentic commerce playbook as AI agents set to capture 15-25% of US e-commerce by 2030

Microsoft Advertising released an agentic commerce blueprint on Friday to help businesses prepare for AI agents making purchases on behalf of consumers. The "Agentic Playbook" focuses on three priorities: ensuring brands get discovered by agents, making purchases seamless, and optimising performance. The blueprint outlines a 90-day implementation structure. The first 45 days focus on building foundations like preparing product feeds and ensuring smooth checkout. The second 45 days concentrate on content optimisation. Bain & Company estimates agentic commerce will account for 15% to 25% of the US e-commerce market by 2030. Microsoft Copilot operates on the Universal Commerce Protocol, connecting it with retailers including Target and Ulta Beauty. On Thursday, Microsoft rolled out AI Max to all accounts, offering features like search term matching and dynamic URL routing for advertising campaigns.

Yahoo Finance
Aug 20th, 2026
ChronoScale secures two-year Microsoft deal for 50 MW AI compute deployment

ChronoScale has entered a two-year strategic partnership with Microsoft to deploy approximately 50 MW of AI compute capacity, the company disclosed in its annual report filed Wednesday. The project will use NVIDIA GB300 systems with advanced liquid cooling for high-density AI workloads, with completion targeted for the first quarter of 2027. The deployment remains subject to financing and meeting various development milestones. ChronoScale reported $9.7 million in cash and a $42.6 million working-capital deficit as of 31 May. The company has access to a $100 million promissory note from parent firm Applied Digital, with $93 million undrawn. ChronoScale reported fiscal 2026 revenue of $71.6 million, down 15% year-on-year, primarily due to a customer loss in December 2024. Operating loss narrowed to $37.5 million from $55.3 million.