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Internship Cdc Engineering Jobs (NOW HIRING)

Intel

Mixed Signal Logic Design Engineer

San Jose, CA

$122K - $232K/yr

Experience with Front End design tools for Lint, CDC, RDC, Voltage Domain Crossings, Synthesis, Low ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Intel

Mixed Signal Logic Design Engineer

Folsom, CA · On-site

$122K - $232K/yr

Experience with Front End design tools for Lint, CDC, RDC, Voltage Domain Crossings, Synthesis, Low ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Intel

Mixed Signal Logic Design Engineer

Santa Clara, CA · On-site

$122K - $232K/yr

Experience with Front End design tools for Lint, CDC, RDC, Voltage Domain Crossings, Synthesis, Low ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

KLA Corporation

Lead FPGA Engineer

Milpitas, CA · On-site

$117K - $200K/yr

... Central Engineering team in Milpitas! Responsibilities * Drive the development, test and ... Understanding of timing analysis, CDC analysis and constraints at the PCB/FPGA interface.

KLA Corporation

Lead FPGA Engineer

Milpitas, CA · On-site

$117K - $200K/yr

... Central Engineering team in Milpitas! Responsibilities * Drive the development, test and ... Understanding of timing analysis, CDC analysis and constraints at the PCB/FPGA interface.

Orbotech

Lead FPGA Engineer

Milpitas, CA

$117K - $200K/yr

... Central Engineering team in Milpitas! Responsibilities * Drive the development, test and ... Understanding of timing analysis, CDC analysis and constraints at the PCB/FPGA interface.

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Internship Cdc Engineering information

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How much do internship cdc engineering jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship cdc engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Internship Cdc Engineering vs Civil Engineering Intern?

AspectInternship Cdc EngineeringCivil Engineering Intern
Required CredentialsTypically pursuing or recent graduate in civil engineering or related fieldSame as CDC Engineering internship, often requiring enrollment in civil engineering program
Work EnvironmentConstruction sites, engineering offices, project sitesConstruction sites, design offices, fieldwork environments
Employer & Industry UsageGovernment agencies, construction firms, infrastructure projectsEngineering firms, government departments, infrastructure projects

Both internships focus on civil engineering principles, site work, and project support. The main difference lies in the specific focus areas: CDC Engineering internships often emphasize public health infrastructure and specialized projects, while Civil Engineering Internships cover a broader range of civil projects. Both roles provide valuable hands-on experience in construction and design environments.

Does the CDC offer internships?

Yes, the CDC offers internships in various fields including public health, epidemiology, and engineering. These internships typically provide hands-on experience, mentorship, and may require specific academic or professional qualifications, often lasting several months during the summer or year-round.
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Internship Cdc Engineering jobs near you
Infographic showing various Internship Cdc Engineering job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Junior Solutions Architect - MLOps & Real-Time Data Integration

Striim, Inc.

Remote

$120K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 20 days ago

Job description

Striim, (pronounced "stream" with two i's for integration and intelligence), is a unified data integration and streaming platform that connects clouds, data, and applications with unprecedented speed and simplicity to deliver the right data at the right time. Striim is used by enterprise companies to monitor events across any environment, build applications that drive digital transformation, and leverage true real-time analytics to provide a superior experience to their customers. At our company, we believe and expect all of our employees to operate as one with unlimited potential and dignity.
We are seeking a Junior Solution Architect with a strong foundation in data science, MLOps, cloud data platforms, and modern data engineering to help design and implement real-time data integration and AI-enabled architectures. Working alongside experienced Solution Architects and Engineering teams, this role provides an opportunity for an early-career professional to gain hands-on experience designing scalable streaming data solutions that power enterprise AI, cloud modernization, and real-time analytics.
The ideal candidate is eager to apply data science and machine learning concepts to real-world enterprise challenges, expand technical expertise across modern cloud and data technologies, and develop into a trusted technical architect within a collaborative, fast-paced environment.
Responsibilities
  • Design and implement scalable real-time data integration and Change Data Capture (CDC) solutions using the Striim platform.
  • Design streaming data architectures connecting enterprise databases, cloud data platforms, messaging systems, and AI/ML environments.
  • Develop data pipelines that support machine learning workflows, feature engineering, model inference, and real-time AI applications.
  • Build proof-of-concepts, reference architectures, and deployment patterns for enterprise implementations.
  • Configure, optimize, and troubleshoot data pipelines across cloud and hybrid environments.
  • Collaborate with Engineering, Product, and GTM Engineering teams to validate architectural designs, resolve complex technical challenges, and improve platform capabilities.
  • Participate in architecture reviews, implementation planning, and production readiness activities.
  • Create technical documentation, architecture diagrams, and implementation best practices.
  • Evaluate emerging technologies across AI, MLOps, cloud computing, and real-time data streaming.

Requirements
  • 1-3 years of professional experience or equivalent graduate research, internships, or project experience in data science, machine learning, data engineering, cloud engineering, or solution architecture.
  • Strong foundation in data science, including machine learning algorithms, model selection, feature engineering, and the machine learning lifecycle.
  • Understanding of modern MLOps practices, including model deployment, inference, monitoring, versioning, and CI/CD for machine learning applications.
  • Experience or academic exposure to machine learning frameworks and platforms such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure Machine Learning.
  • Familiarity with modern data integration concepts, including Change Data Capture (CDC), event-driven architectures, and real-time streaming data pipelines.
  • Working knowledge of relational and NoSQL databases, including SQL proficiency and database administration fundamentals.
  • Experience with cloud platforms and modern cloud data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Amazon Redshift, or Azure Synapse.
  • Experience programming in Python or Java and working with REST APIs and JSON.
  • Understanding of Docker containers and modern DevOps concepts; familiarity with Kubernetes, Git, and CI/CD pipelines.
  • Strong analytical, troubleshooting, written, and verbal communication skills.
  • Demonstrated curiosity, adaptability, and a passion for learning emerging technologies in AI, cloud computing, and real-time data streaming.
  • Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical discipline.

Benefits
  • Competitive salary and pre-IPO stock options
  • Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • The chance to contribute to and shape an upbeat, fully engaged culture

Compensation
$120,000 - $130,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn commission-based rewards.
Applications will be reviewed on a rolling basis and accepted until the position is filled.
Our company culture fosters entrepreneurship and nurtures our team members to grow with the company. Come join a Silicon Valley startup focused on delivering a product that's loved by its customers and primed to be a core part of the cloud data stack.
We are an equal opportunity employer, and we value diversity at our company.It is in our best interest to continue to foster an environment of diversity, equity, and inclusion to bring the most value to our workforce, customers, and partners. All applicants are considered for employment without attention to race, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, veteran status, or disability status.
For more information on Striim's Privacy Policy, click here.

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