Jobs in the United States

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Added 1 min ago
Procurement Tool & Die Principal Engineer (102161)
Honda Dev. and Mfg. of Am.,LLC
Raymond, OH
Lead and execute strategic direction to determine most efficient process and tool construction for supplier tooling configuration (weld jigs, stamping dies) for all New Model Development…
Added 2 mins ago
Data Test Engineer
CACI
Remote, United States
…enterprise platform that modernizes transportation, logistics, and financial operations through SAP S/4HANA ERP integration. We're looking for an accomplished Data Tester to validate data…
Added 2 mins ago
AI Strategy Senior Manager
BDO USA Experienced
Houston, TX
This role is responsible for planning, managing, executing, and leading a team in AI, Automation, and Data-Driven consulting related engagements, including AI Readiness/Operational…
Added 2 mins ago
Analyst - Enterprise Risk Advisory 5A
Genpact LLC
Remote, United States
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner…
Added 2 mins ago
Quality Engineer
Mission Critical Group
Brookston, IN
Mission Critical Group (MCG) an end-to-end power systems and solutions provider that accelerates time-to-power and delivers scalable, resilient infrastructure for mission critical…
Added 2 mins ago
Lead Market Operations Engineer - Demand Response
ERCOT
Austin, TX
Proposes and creates new solutions for data acquisition, analysis and reporting, applying tools such as SQL, SAS and Python.
Added 3 mins ago
Senior Data Engineer
Pacific Life Insurance Company
United States
Design, build, and maintain scalable data pipelines and integration solutions using Snowflake, DBT, Matillion, AWS, SQL, Python, and modern ETL/ELT technologies.
Added 3 mins ago
Manager, Software Engineering, Data Platform
Circle Internet Management Services LLC
U.S., LA · U.S., DE · U.S., VT · U.S., ID · U.S., AK · U.S., WI · U.S., WA · U.S., VA · U.S., UT · U.S., TX · U.S., TN · U.S., SC · U.S., RI · U.S., PA · U.S., OR · U.S., OH · U.S., NC · U.S., WV · U.S., NY · U.S., OK · U.S., NJ · U.S., ND · U.S., NH · U.S., NV · U.S., MS · U.S., NE · U.S., MO · U.S., MN · U.S., MI · U.S., MA · U.S., MD · U.S., WY · U.S., ME · U.S., NM · U.S., KY · U.S., IN · U.S., KS · U.S., AR · U.S., IA · U.S., SD · U.S., IL · U.S., MT · U.S., GA · U.S., FL · U.S., DC · U.S., CT · U.S., CO · U.S., CA · U.S., AZ · U.S., AL
As the DP Engineering Manager, you will lead a team of senior data platform engineers through the next chapter of this platform: ensuring it is correct by construction, self-service by…
Added 4 mins ago
Senior Controls Engineer
Group14 Technologies
Moses Lake, WA
As the Senior Controls Engineer, you will assist in the design, construction, and commissioning of the control systems for BAM-2, our new state of the art facility in Moses Lake, WA.
Added 4 mins ago
Principal Launch Operations Engineer
Relativity Space
Cape Canaveral, FL
Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t…
Added 4 mins ago
Mechanical Engineer (Mid-Sr. Level)
Richard Design Services, Inc.
Beaumont, TX
Development of piping & instrumentation diagrams (P&IDs) and associated documents, in conjunction with process engineers
Added 4 mins ago
Reliability Engineer
Precoat Metals
St. Louis, MO
We are seeking a results-driven Reliability Engineer to join our Engineering & Maintenance team to support the maintenance and reliability efforts across fourteen coil coating facilities.…
Added 4 mins ago
Process Engineer
Precoat Metals
St. Louis, MO
We are seeking an experienced Process Engineer to provide technical support for our manufacturing facilities. This role leads process improvements through engineering methods and data…
Added 5 mins ago
Process Engineer
Reynolds Consumer Products
Appleton, WI
The Process Engineer improves the safety, quality, reliability, throughput, and cost performance of assigned manufacturing processes. This role serves as the technical owner for designated…
Added 5 mins ago
Production Engineer
MSR-FSR
Chandler, AZ
We are seeking a highly motivated Production Engineer to support precision cleaning processes within a semiconductor cleanroom manufacturing environment. This role is responsible for…
Added 7 mins ago
Senior Test Engineer - CST - Lafayette, CO (Onsite)
SNT Medtronic Navigation, Inc.
Lafayette, CO
As a Senior Test Engineer, you will develop and execute verification and validation strategies for complex medical products integrating software, hardware, and connected systems. You will…
Added 7 mins ago
JL
Operating Engineer
Jones Lang LaSalle
Boulder, CO
- $65,300 to $76,500 USD / year
Assist the Lead Engineer, Chief Engineer and/or Site Manager with operational recommendations such as Operating Expense Projects and process improvements.
Added 7 mins ago
JL
Facilities Director
Jones Lang LaSalle
Boulder, CO
- $175,000 to $200,000 USD / year
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best,…
Added 9 mins ago
Automation Engineering, Sr. Engineer – Pharmaceutical Manufacturing - Lilly Medicine Foundry
Lilly
Lebanon, IN
The Engineer - Automation Engineering will work as a member of the Automation Engineering Department at Eli Lilly, Foundry. The engineer will provide automation support for one or more…
Added 9 mins ago
A
Data Center Project Engineer
Actalent
Fort Wayne, IN
- $43 to $60 USD / hour
The Project Engineer will play a pivotal role in supporting onsite construction engineering activities for a significant data center project in Columbus, Ohio. This position involves…
Added 9 mins ago
Manufacturing Engineer I
ALTEN Technology USA
Greensboro, NC
Monitoring key performance indicators (KPIs) and analyzing data to drive process improvements and operational excellence.
Added 9 mins ago
Principal/Sr. Principal Engineer, Automation Engineering, Controls System Hardware - Lilly Medicine Foundry
Lilly
Lebanon, IN · Indianapolis, IN
The Principal/Sr. Principal Engineer - Automation Engineering will work as a member of the Automation Engineering Department at Eli Lilly, Foundry. The Principal/Sr. Principal Engineer will…
Added 9 mins ago
CE Data Architect
Lilly
Indianapolis, IN
Lilly CIA powers the enterprise with governed, AI-ready data products, a converged semantic layer, and the identity and policy infrastructure behind Lilly’s digital experiences. Within CIA,…
Added 9 mins ago
Reliability Engineer - Lilly Medicine Foundry
Lilly
Lebanon, IN · Indianapolis, IN
…proper equipment coverage, assisting with interpretation of data, and assisting the Process Engineer for planning corrective actions when…
Added 9 mins ago
Physical AI Engineer - Lilly Medicine Foundry
Lilly
Indianapolis, IN
As a Physical AI Engineer, in partnership with other teams you will deploy advanced AI models into robotic, computer vision and sensor-based systems that make the Lilly Medicine Foundry…

Intel Corporation

AI Silicon Performance Modeling and Analysis Engineer

CA, United States

$141,910 to $232,190 USD / year

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Job details

Pay: $141,910 to $232,190 USD / year
Experience: 6+ years of industry experience in:
Posting language: English
Posted: Oct 31, 2026

Original job description

Job Details:

Job Description:

About the Role and Team

The AI Silicon Architecture and Performance Engineering team is responsible for developing and maintaining performance models that enable architecture exploration, design evaluation, scalability analysis, and performance projection for next-generation AI silicon products. These models are a critical component of the product development process, providing early visibility into architectural tradeoffs, bottlenecks, and optimization opportunities long before silicon availability.

We are seeking a highly experienced and motivated engineer to drive AI silicon performance modeling, validation, architectural analysis, and stakeholder engagement activities. The candidate will work closely with architects, performance stimulus generation teams, silicon design teams, and product stakeholders to evaluate and optimize key AI silicon subsystems that determine overall platform scalability and performance.

The role focuses on performance modeling and analysis of AI SoC communication fabrics, memory subsystems, scale-up and scale-out interconnects, host-device memory paths, and end-to-end data movement infrastructure. The successful candidate will leverage SystemC/TLM-based modeling methodologies to generate actionable insights that directly influence architecture and product decisions.

This position requires a unique combination of software development expertise, architecture understanding, analytical problem solving, and cross-functional technical leadership. The engineer will be expected to independently drive complex technical initiatives while serving as a trusted performance expert across multiple organizations.

Key Responsibilities:

AI Silicon Performance Model Development

Implement new architectural features and capabilities based on evolving product requirements.
Improve model fidelity, scalability, maintainability, and simulation performance.
Perform detailed debugging and root-cause analysis of model issues and performance anomalies.
Contribute to the evolution of modeling infrastructure, methodologies, and best practices.
Develop, maintain, and enhance SystemC/TLM-based performance models representing critical AI silicon subsystems.

•

Drive modeling of key architectural components including:
SoC fabrics and on-chip communication networks
Memory controllers and memory subsystem behavior
Scale-up controllers and fabrics enabling accelerator-to-accelerator communication within a node, tray, or pod
Scale-out controllers and fabrics enabling communication across nodes, racks, and larger AI clusters
Host CPU to accelerator memory paths
Local, host, and remote memory access paths
End-to-end data movement architectures

Functional Validation and Model Correlation:

Define and execute comprehensive validation strategies to ensure correctness and architectural accuracy of performance models.
Develop validation plans, regression suites, coverage methodologies, and quality metrics.
Correlate modeled behavior against architectural expectations, reference simulations, performance projections, and available hardware measurements.
Investigate and resolve discrepancies between expected and observed behavior.
Establish robust validation frameworks that improve stakeholder confidence in model-generated performance projections.
Continuously improve validation methodologies and model quality.

AI Silicon Performance Characterization and Architectural Analysis:

Design and execute performance studies covering a wide range of workloads, traffic patterns, and system configurations.
Analyze performance of communication fabrics, memory systems, and data movement paths under representative AI workloads.
Evaluate bandwidth utilization, latency characteristics, congestion behavior, traffic distribution, buffering efficiency, and resource utilization.
Characterize interactions across local memory, host memory, and remote memory domains.
Assess scalability of scale-up and scale-out architectures across increasingly larger deployment footprints.
Identify performance bottlenecks and quantify their impact on overall system throughput and efficiency.
Conduct architectural tradeoff studies to evaluate alternative design approaches.
Provide performance-driven recommendations that influence architecture and product decisions.

Performance Data Generation, Analytics and Visualization:

Develop frameworks and methodologies for large-scale performance data generation and analysis.
Create automated workflows for data collection, processing, correlation, and reporting.
Develop performance dashboards and visualization tools that simplify interpretation of complex performance data.
Define and track meaningful performance KPIs and architectural metrics.
Utilize Python-based analysis frameworks to process large datasets and generate actionable insights.
Enable efficient consumption of performance information by architects, designers, and engineering leadership.

Cross-Functional Technical Leadership and Stakeholder Engagement:

Partner closely with architecture teams, performance stimulus generation teams, silicon design teams, and product stakeholders.
Drive technical discussions related to performance methodology, architectural assumptions, workload behavior, scalability analysis, and bottleneck identification.
Review architectural proposals and provide performance-driven feedback.
Present performance studies, technical findings, and architectural recommendations to engineering leadership.
Influence product and architecture decisions through data-backed analysis and sound engineering judgment.
Act as a key technical bridge between architecture, modeling, and performance analysis organizations.

Methodology Development and Team Growth:

Drive improvements in modeling methodologies, simulation efficiency, and analysis workflows.
Identify opportunities for automation across modeling, validation, performance analysis, and reporting activities.
Establish best practices for model quality, performance characterization, and architectural analysis.
Contribute to technical mentoring and knowledge sharing across the team.
Support the development of junior engineers and future team growth initiatives.
Help cultivate a culture of technical excellence and continuous improvement.

The ideal candidate should show the following behavioral traits:

Strong quantitative reasoning and data-driven decision-making skills. Analytical and Problem-Solving Skills
Strong communication and collaboration skills.
Presentation (technical) and stakeholder management skills.
Influence engineering decisions through rigorous analysis and technical credibility.
Operate independently and deliver results in ambiguous problem spaces.
Independently solve complex technical problems.

Qualifications:

Minimum qualifications, you must possess the below minimum qualifications to be initially considered for this position.

Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, Electronics Engineering.
6+ years of industry experience in:

•

Performance modeling, AI silicon architecture, SoC architecture, computer architecture, performance engineering, or related domains.
SoC architecture, including on-chip communication fabrics, NoC concepts, high-speed interconnects, and scale-up/scale-out communication architectures.
Memory subsystem architecture, including memory controllers, cache hierarchies, data movement, and latency/bandwidth characterization and performance bottleneck analysis.
Software development experience in C++.
Working proficiency in Python for automation, performance analysis, data processing, and visualization.
Hands-on experience with SystemC and Transaction-Level Modeling (TLM) methodologies.
Experience developing or validating performance models for AI accelerators, SoCs, CPUs, GPUs, networking products, or complex hardware systems.
Performing architectural tradeoff analysis and performance debug and characterization studies.

This position is not eligible for Intel immigration sponsorship.

Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Deep understanding of AI accelerator architectures and modern AI infrastructure.
Experience modeling memory, communication, interconnect, or scalability-related subsystems.
Experience with Network-on-Chip (NoC) architecture and interconnect performance analysis.
Understanding of scale-up and scale-out architectures used in modern AI computing platforms.
Familiarity with AI/ML workloads, large language models, distributed training, and inference environments.
Experience with performance stimulus generation methodologies and workload characterization.
Experience building automated dashboards and reporting solutions using Power BI, Tableau, Grafana, Plotly, or similar technologies.
Experience evaluating large-scale distributed AI systems and accelerator clusters.
Experience mentoring engineers and providing technical leadership in cross-functional environments.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, California, Santa Clara

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $141,910.00-232,190.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change. *

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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Jobs in the United States