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Senior Principal Applications Engineer
Chelsea Search Group
Remote, United States
High-Reliability Microelectronics Applications Engineer (remote)
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Strata-G, LLC
Strata-G, LLC
Oak Ridge, TN
We are seeking an experienced engineer to monitoring and assessing the technical quality, progress, and execution of major capital construction projects. This role provides independent…
Added 3 mins ago
Solution Engineer, Real Time OT Systems
American Electric Power
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Related Fields for Education and Experience:• IT/OT System Administration• IT/OT Application Support• Cyber Security• ADMS/DMA/EMS/OMS/SCADA
Added 3 mins ago
Cyber Network Analyst
Leidos
Hampton, VA
Engineer and analyze secure architectures: from R&D and security accreditation to integration, training, and sustainment
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Entry Level Engineer - AT
Nuclear Fuel Services
Lynchburg, VA
Participate in laboratory, prototype, and system testing activities, including data collection, analysis, and presentation of results.
Added 3 mins ago
Entry Level Engineer - AT
BWX Technologies, Inc.
Lynchburg, VA
Participate in laboratory, prototype, and system testing activities, including data collection, analysis, and presentation of results.
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Senior Software Factory Engineer
Actalent
Manassas, VA
- $55 to $75 USD / hour
We are seeking an experienced Sr Software Factory Engineer to modernize a mission-critical submarine combat system. Your role will involve transforming a large monolithic C++ codebase into…
Added 3 mins ago
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Senior AI Test Engineer (Remote)
TestPros
Sterling, VA
- $50 to $80 USD / hour
TestPros is seeking a Senior Artificial Intelligence (AI) System Test Engineer with an analytical, customer-focused mindset and experience with the OWASP AI Testing Guide and other…
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Senior Software/System Test Engineer (Remote)
TestPros
Sterling, VA
- $40 to $70 USD / hour
TestPros is seeking a Senior Software/System Test Engineer with an analytical, customer-focused mindset and experience implementing the ISO/IEC 25010:2023 Systems and software engineering -…
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Senior Software Technical Support Team Member
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Reviewing technical requirements, proposed changes, and cross-system impacts
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Lead Optical Transport Implementation Engineer - Pub Sec
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NETWORK ENGINEER - PUB SEC
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Knowledgeable in security requirements and techniques for protecting computer systems/networks from attacks, viruses, data tampering, unauthorized system entry, and other emerging threats.
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Communications Systems Engineer (Optical/Quantum)
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SAIC is seeking a Communications Systems Engineer with strong optical and quantum communications engineering experience to support specialized analysis, engineering, design, and operations…
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Senior SIGINT Systems Engineer
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The Senior SIGINT Systems Engineer is a member of a high performing team supporting the customer Chief Engineer by providing expert advice and performing activities and tasks necessary to…
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Systems Engineer Technical Analyst (SETA)
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KBR is seeking a Systems Engineer Technical Analyst (SETA). The Technical Professional (SETA) provides systems engineering and analytical support to help inform national security space…
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Chantilly, VA
…training, education, and mission-support applications for national security programs. This role combines applied data science, AI/ML integration, and modern software engineering to build…
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Principal Systems Engineer
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…and advancing some of the world's highest-priority national security and space…
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ML/Ops Engineer SME - TS/SCI w/Poly
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Ensure the safety and security of our nation as a ML/OPs Engineer at GDIT. You’ll apply the latest technology and provide operational support to deliver actionable intelligence for the…
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Non-Destructive Evaluation Development Engineer
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Microsoft

Senior Performance Modeling Engineer

CA, United States
WA, United States
Mountain View, CA, United States
Redmond, WA, United States
Mountain View, United States
Redmond, United States

$119,800 to $261,000 USD / year

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Job details

Pay: $119,800 to $261,000 USD / year
Apply by: May 8, 2027
Posting language: English
Posted: Nov 9, 2026

Original job description

Overview

Do you want to help shape the future of AI infrastructure and influence the hardware-software co-design decisions that power Microsoft's next generation AI platforms?

Join the Systems Planning and Architecture (SPARC) team within Azure Hardware Systems and Infrastructure (AHSI), where we are building the foundation for the world's largest AI workloads. Our team drives model enablement, performance optimization, and hardware-software co-design across Microsoft's custom AI accelerators and cloud-scale AI infrastructure.

We are seeking a Senior AI Performance Modeling Engineer to join the AI Systems Architecture (ASA) group within Microsoft SPARC, where we define and optimize next-generation AI accelerators and large-scale AI systems. In this role, you will develop analytical performance models, simulation frameworks, and workload characterization tools to evaluate accelerator and system architectures for large-scale AI training and inference.

You will model real-world AI workloads across compute, memory, and communication subsystems, identifying performance bottlenecks, scalability limits, and architectural trade-offs. A key aspect of this role is evaluating new hardware features, parallelization strategies, and system configurations to optimize performance, power efficiency (perf/W), and total cost of ownership (TCO).

You will collaborate closely with architecture, microarchitecture, compiler, runtime, and systems teams to correlate analytical predictions with silicon measurements and software traces, improve modeling accuracy, and drive data-driven architectural decisions for future AI platforms.

This role is flexible and offers a hybrid work model with three days per week in the office.

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 achieve 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.

Responsibilities

Develop and enhance analytical performance models and simulation frameworks for AI accelerators, GPU architectures, and large-scale AI systems.
Model end-to-end AI training and inference workloads, including compute kernels, attention, MoE, memory access patterns, and communication operations.
Evaluate new architectural features, compute and memory hierarchies, interconnects, and collective communication mechanisms to identify performance and efficiency improvements.
Perform workload mapping and parallelization analysis across tensor, pipeline, expert, data, and context parallelism strategies to optimize accelerator utilization and scalability.
Develop system-level performance models to evaluate throughput, latency, perf/W, and TCO across accelerator, rack, and cluster configurations.
Correlate analytical model predictions with silicon measurements, kernel benchmarks, and software traces to validate assumptions, improve model fidelity, and identify performance bottlenecks.
Build and automate performance modeling, design-space exploration, sensitivity analysis, and visualization tools to accelerate architectural evaluation.
Collaborate with hardware and software teams to translate modeling insights into actionable architecture recommendations and HW–SW co-design opportunities.

Qualifications

Required Qualifications:

Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience

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.

Preferred Qualifications:

Doctorate in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 6+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience OR equivalent experience
Familiarity with AI agentic systems & flow for performance modeling & anlaysis
2+ years of experience in Computer Architecture, AI Systems, or closely related technical domains.
Strong understanding of GPU and AI accelerator architectures, including compute pipelines, memory hierarchies, interconnects, and parallel execution models.
Experience developing analytical performance models, roofline models, architectural simulators, or system-level performance estimation frameworks.
Knowledge of AI training and inference workloads, including transformers, attention mechanisms, MoE architectures, and large-scale distributed execution.
Experience modeling compute, memory bandwidth, communication collectives, and computation-communication overlap in accelerator-based systems.
Familiarity with parallelization strategies, including tensor, expert, pipeline, data, and context parallelism, and their performance implications.
Strong programming skills in Python and C/C++, with experience developing modeling frameworks, simulators, and performance analysis tools.
Experience with performance profiling, benchmarking, and correlation of analytical models with hardware measurements and software traces.
Familiarity with PyTorch, GPU programming, and modern AI inference or training frameworks such as vLLM, SGLang, and distributed runtime systems.
Experience evaluating architectural design trade-offs using performance, power efficiency, scalability, and TCO metrics.
Strong analytical, problem-solving, and communication skills, with the ability to translate performance insights into architectural recommendations.

Hardware Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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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