About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Semiconductor Manufacturing.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

This internship is for an engineer who will help design, build, and deliver software and ML solutions that support large-scale semiconductor inspection and metrology systems. You will work within cross-functional teams to prototype, implement, test, and deploy data pipelines, model training and inference, and production-ready software components.

• Contribute to ML model development for classification, regression, and generative tasks.
• Implement data ingestion, cleaning, feature engineering, and dataset management for large imaging/data sets.
• Develop and optimize training and inference workflows using frameworks such as TensorFlow or PyTorch.
• Build robust, multi-threaded components in Python, C++, C#, or Java for high-performance systems.
• Collaborate with engineers across software, apps, and process teams to integrate ML into product platforms.
• Work with distributed computing, containerization, cloud storage, and GPU-based compute clusters as needed.

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Key Responsibilities

• Design and prototype algorithms and end-to-end ML pipelines for production usage.
• Optimize code and models for inference performance on GPU/accelerated hardware.
• Participate in code reviews, system design discussions, and sprint planning.
• Document experiments, model performance, and reproducible training procedures.
• Troubleshoot data and model issues in large-scale, distributed environments.

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Minimum Qualifications

• Current Master’s degree student or PhD candidate in Computer Science, Electrical Engineering, Data Science, Applied Math, or a related field.
• Hands-on development experience in one or more of: Python, C++, C#, or Java.
• Strong understanding of data structures, algorithms, and multi-threaded/multi-process software design.
• Demonstrated ability to analyze data and formulate technical solutions.

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Preferred / Highly Desirable Skills

• Experience with traditional ML methods (Random Forest, XGBoost, Logistic Regression).
• Experience with deep learning (classification, regression, or generative models).
• Familiarity with ML libraries and tools: TensorFlow, PyTorch, NumPy, scikit-learn.
• Knowledge of distributed systems for data management and distributed computing infrastructure.
• Experience with cloud platforms, containerization (Docker/Kubernetes), and compute clusters.
• Familiarity with GPU architectures and efficient data flow for high-throughput workloads.

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Professional & Interpersonal Skills

• Strong problem-solving and analytical thinking.
• Clear verbal and written communication skills.
• Ability to work effectively in cross-functional teams and prioritize tasks.
• Motivation to learn and contribute to team success.

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Total Rewards & Pay Transparency

• Base pay range: $22.10 - $42.50 per hour (rate varies by education level pursued: Bachelor’s, Master’s, or Ph.D., and by location). This range is provided for transparency for the role’s primary location (Milpitas, CA). Actual pay depends on experience, credentials, and the specific hiring location.
• Interns may be eligible for select benefits and programs depending on location and employment classification (examples: certain wellness programs, limited benefits, and professional development support).
• Our client complies with all applicable federal and state wage laws.

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Use of AI & Interview Guidance

Our client’s interviews evaluate individual skills, problem-solving approach, and authentic thinking. The use of AI tools, generative assistants, or recording technologies during interviews is not permitted unless explicitly approved in advance as a reasonable accommodation or invited by the interviewer. Unauthorized use of such tools may affect candidacy.

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Location & Employment Type

• Primary Location: Milpitas, CA, USA (on-site or hybrid as defined by the client).
• Employment type: Full-time internship (as posted).

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.