Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 13 mins ago
Field Service Engineering Specialist - Senior
Cummins Inc.
Baton Rouge, LA
Product Problem Solving - Follow a consistent process to identify the true assignable cause. Use data, testing, and field evidence to validate solutions before implementation. Implement…
Added 19 mins ago
Sales Compensation Analyst (Commercial Modeling & Governance Automation)
S&P Global
Hightstown, NJ · New York, NY · Virtual, CO · Virtual, CT · Virtual, DC · Virtual, IL · Virtual, NC · Virtual, NJ · Virtual, NY · Virtual, TX · Virtual, VA
This is a role for someone who sees a manual compensation process and immediately knows how to automate it. As the analytical and engineering engine behind S&P Global Market Intelligence's…
Added 24 mins ago
O
Junior DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Washington, DC
- $80,000 to $95,000 USD / year
We solve problems through people, process, and technology - in that order. Technology matters, but people make transformation happen. That principle defines our culture. Trust and…
Added 24 mins ago
Senior Project Engineer
Scout Clean Energy
Boulder, CO
As Scout’s Senior Project Engineer, you will play a pivotal role in the development, design and construction planning of Scout’s utility-scale wind, solar and energy storage projects. You…
Added 25 mins ago
Research Engineer - Formal Methods
Galois, Inc.
Boston, MA
Galois is hiring a Software Engineer/Researcher to join our team! This role will primarily focus on advancing the state of the art in programming language theory research and…
Added 27 mins ago
Software Engineer I
Principal Financial Group
Des Moines, IA
We are looking for a Software Engineer I to join our Benefits & Protection (B&P) area. In this role, you’ll build your engineering skills while contributing to an agile team and software…
Added 49 mins ago
O
Senior Data Systems Software Engineer - Exadata Database
Oracle
Nashville, TN
- $85,400 to $209,500 USD / year
1-7 years of software development experience.
Added 1 hour ago
Principal Systems Engineer - Cloud & AI Engineering
CBRE
Richardson, TX
As a CBRE Principal Systems Engineer - Cloud & AI Engineering, you will serve as one of the most senior technical individual contributors within Cloud Platform Services. You will lead the…
Added 1 hour ago
Supervisory Healthcare Engineer (Recruitment/Relocation Incentive)
Veterans Affairs, Veterans Health Administration
San Antonio, TX
Added 1 hour ago
Process Quality Engineer
GE Vernova
Houston, TX
This role is responsible for providing repair and/or engineering process support in accordance with documented procedures and practices. Responsible for the development, implementation,…
Added 2 hours ago
Senior PCB Layout Engineer
NVIDIA Corporation
North District, IL
Your focus will be on the complete development of PCB layout, floor planning and detailed component placement, and constraint management, with a concept of topology and signal/trace…
Added 2 hours ago
Data Analytics & Insights Specialist
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Boston, MA · Charlotte, NC · Chicago, IL · Dallas, TX · Houston, TX · Jacksonville, FL · Jersey City, NJ · McLean, VA · Miami, FL · NY · Raleigh, NC · Richmond, VA · Rosslyn, VA · San Antonio, TX · Tallahassee, FL · Tampa, FL · Tempe, AZ · Washington, DC
As a Project Analytics & Insights Engineer III on the AI & Data team, you will design and develop AI enabled solutions to process unstructured data using client approved tools such as Azure…
Added 2 hours ago
Agentic AI Delivery Consultant
Deloitte US
Gilbert, AZ · Lake Mary, FL · Mechanicsburg, PA
Lead small teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout.
Added 2 hours ago
AWS Cloud Engineer - Software Engineering - Top Secret Clearance
Deloitte US
Washington, DC
As a Project Software Engineer II on the HCI team, you will join the infrastructure team supporting a new unified importer identity and onboarding platform - providing full visibility…
Added 2 hours ago
ICAM Analyst
Deloitte US
Rosslyn, VA
As a Project ICAM Analyst Security Engineer I on the Identity, Credential, and Access Management (ICAM) team, you will be responsible for:
Added 2 hours ago
Lead Application Systems Engineer
Deloitte US
Dallas, TX · Westlake, TX
…experiences and providing technologies that enable leadership development. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and…
Added 3 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 3 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 3 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 3 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 3 hours ago
Manufacturing Engineer - Machined Components
Teledyne
Daytona Beach, FL
Provide input to the design review process for the review and development of assembly tools/fixtures, test equipment and HSE considerations, including Design for Manufacturability (DFM)…
Added 3 hours ago
C
Associate Controls Engineer
Carrier
Orlando, FL
- $53,000 to $106,000 USD / year
As a Controls Engineer, you’ll be an expert voice on-site- performing difficult and complex engineering activities and creating standard work for common procedures.
Added 3 hours ago
Senior Software Engineer
Kimedics, LLC
United States
The Senior Engineer is a highly capable individual contributor who leads the technical delivery of significant features and projects within their team. This role applies deep expertise to…
Added 3 hours ago
Principal Solution Engineer - Oracle EPM and Hyperion HFM
American Water Works Service Company
Camden, NJ
…Experience with all phases of implementation including business process blueprint, detailed design, configuration, testing, and support. Work with the business to gather requirements,…
Added 4 hours ago
M
Software Engineer: Security & Identity Intern Opportunities for University Students, Redmond
Microsoft
WA · Redmond, WA · Redmond
- $5,690 to $12,250 USD / month
Coursework or experience in cybersecurity, networking, operating systems, or secure software development.

Intel Corporation

AI Silicon Performance Modeling and Analysis Engineer

CA, United States

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

Apply About employer

Applications open in a new tab.

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.

Apply About employer

Report this job