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Added 1 min ago
Senior Closures Systems Sealing Engineer
Ford
Long Beach, CA · Long Beach
The Senior Closures Systems Sealing Engineer will be a key member responsible for the design, development, and integration of closure mechanisms and primarily sealing for Advanced EV…
Added 2 mins ago
Head of Forward Deployed Engineering
Bausch + Lomb
Frankfort, KY
Bausch + Lomb is seeking a Head of Forward Deployed Engineer (FDE) to turn AI from pilots into production capability across B+L. This is a hands-on builder role embedded in manufacturing,…
Added 2 mins ago
Principal Material Flow Engineer
GE Appliances, a Haier company
Louisville, KY
The Principal Flow Engineer leads the design and integration of advanced material replenishment and warehouse management systems, leveraging automation, robotics and emerging technologies…
Added 3 mins ago
MTS Systems Design Engineer
Advanced Micro Devices, Inc
Santa Clara, CA
…components and systems for semiconductor and related device manufacturing, employing knowledge of electronic theory. Design a complete and complex framework, system or product. Define…
Added 3 mins ago
Sr. Silicon Design Engineer
Advanced Micro Devices, Inc
Santa Clara, CA
Job Role and Responsibility: AMD, Inc., is hiring Sr. Silicon Design Engineer to Research, design, develop, and/or test electronic components and systems for semiconductor and related…
Added 3 mins ago
Sr. Supply Chain Specialist
Advanced Micro Devices, Inc
Austin, TX
Master’s degree or foreign equivalent in Manufacturing and Mechanical Systems Integration, Supply Chain Management, Manufacturing Engineering, Industrial Engineering, or related field.
Added 3 mins ago
Sr. Product Development Engineer
Advanced Micro Devices, Inc
Austin, TX
Job Role and Responsibility: AMD, Inc., is hiring Sr. Product Development Engineer to Research, design, develop, and support software driven system level test (SLT) solutions for datacenter…
Added 4 mins ago
Senior Field Service Engineer
Nova Ltd.
Rio Rancho, NM
Our Global Business Group (GBG) is seeking a highly motivated Senior Field Service Engineer to support Nova's industry-leading chemical metrology and process control solutions used in…
Added 10 mins ago
Principal Mechanical Engineer
LEIDOS, INC.
Albuquerque, NM
The engineer will be responsible for taking mechanical designs from concept through detailed design, fabrication, assembly, integration, and test. The position requires an individual who…
Added 10 mins ago
First Article Inspection Systems Engineer- Mid Level
Dynetics, Inc
Huntsville, AL
…element. You'll collaborate with Quality, Hardware Development, Integration, and Test, and Scheduling teams while gaining hands-on experience in production systems engineering. This could…
Added 11 mins ago
Chemical Engineer I
Stefanini Group
Southfield, MI
…and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in…
Added 13 mins ago
Senior Embedded Software Engineer - Platform Software
Intuitive
Sunnyvale, CA
We’re looking for a high energy, experienced embedded software engineer to take technical ownership
Added 15 mins ago
G
Mechanical Design Engineer
GPAC
Chaska, MN
- $90,000 to $115,000 USD / year
Mechanical Design Engineer | Build Machines, Not Just Models
Added 16 mins ago
Automation Controls Engineer
Targan Inc
Raleigh, NC
The R&D Automation and Controls Engineer plays a key role in the realization of automated equipment at TARGAN, Inc. This position is hands-on; requiring the Engineer to conceive, program,…
Added 18 mins ago
Systems Engineer (Entry Level)
Technology for Energy Corporation
Knoxville, TN
…seeking a motivated and technically curious Entry-Level Systems Engineer to support the design, development, integration, testing, and support of technical products used in the aviation…
Added 19 mins ago
Agentic AI - PhD Intern (Modeling Agent)
Keysight Technologies, Inc.
Calabasas, CA · Santa Rosa, CA
…insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy,…
Added 19 mins ago
Machine Learning - PhD Intern (Modeling and Data Analysis)
Keysight Technologies, Inc.
Calabasas, CA · Santa Rosa, CA
…insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy,…
Added 22 mins ago
Propulsion Engineer, Sr Staff - SRM / Solid Rocket Motors - Remote Option
Lockheed Martin
Virtual Two, VA
We are seeking to hire an Aeronautical / Propulsion Engineer for the Propulsion team working a new development program. Our team delivers breakthrough missile propulsion solutions, driving…
Added 22 mins ago
Hardware Program Lead Sr Stf - E5
Lockheed Martin
Manassas, VA
Lockheed Martin is in search of an experienced Hardware Engineer for a technical lead role within the Undersea Mission Systems business area. This position is for the Hardware Lead Role on…
Added 23 mins ago
ENGINEER PLANNING ANALYST 3
Huntington Ingalls Industries
Newport News, VA
…users. We collaborate together at the forefront of technology, manufacturing, and integration of the most powerful and survivable naval ships in the world. Want to be part of the team?…
Added 23 mins ago
ENGINEER PLANNING ANALYST 4
Huntington Ingalls Industries
Newport News, VA
…users. We collaborate together at the forefront of technology, manufacturing, and integration of the most powerful and survivable naval ships in the world. Want to be part of the team?…
Added 23 mins ago
Mission Operations Engineer (Entry-Level) - Millennium Space Systems
The Boeing Company
Chantilly, VA
As a Mission Operations Engineer, you will be the lead technical authority for Millennium’s on-orbit spacecraft. Your work will encompass the entire spacecraft mission life cycle, from the…
Added 25 mins ago
Senior Closures Systems Sealing Engineer
Ford Global
Long Beach, CA
The Senior Closures Systems Sealing Engineer will be a key member responsible for the design, development, and integration of closure mechanisms and primarily sealing for Advanced EV…
Added 26 mins ago
RH
Systems Engineer - OEM Products
Robert Half
Lavergne, TN
- $130,000 to $150,000 USD / year
Partner with mechanical, electrical, firmware, software, quality, and manufacturing teams to ensure system-level integration
Added 28 mins ago
Chemical Engineer I
Stefanini Group
Southfield, MI
…and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in…

Keysight Technologies, Inc.

Machine Learning - PhD Intern (Modeling and Data Analysis)

Calabasas, CA, United States
Santa Rosa, CA, United States

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Job details

Apply by: Nov 6, 2027
Posting language: English
Posted: Nov 6, 2026

Original job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. About the Program Keysight's AI team builds adaptive engineering intelligence systems where measurement, simulation, and machine learning converge - models that learn from complex physical data and adapt to new design and testing conditions. This internship focuses on machine learning surrogate models for engineering simulation and measurement. High-fidelity simulations and physical measurements can dominate the design and test loop for RF, high-speed, and other engineering problems, and their cost limits how much of a design space an engineer can explore. You will develop models that predict engineering responses at a fraction of the cost, investigate how such models can be adapted efficiently as the design problem changes, and integrate the result into an engineering ML runtime environment. Role Overview You will design, train, and evaluate neural surrogate models that predict engineering responses from simulation or measurement data far faster than repeated high-fidelity simulation or physical characterization. This spans the full arc of the problem: generating or assembling the data, choosing and evaluating model architectures and output representations, establishing where accuracy holds and where it degrades, and quantifying the result against a realistic simulation or measurement budget. In the second phase you will study how a trained model can be specialized efficiently when the design problem shifts, using LoRA and related parameter-efficient adaptation methods. You will work alongside AI researchers, simulation and measurement experts, RF designers, and runtime engineers. Learning Outcomes

Apply modern machine learning to realistic engineering simulation and measurement data.
Learn how surrogate model accuracy depends on data quality, sampling strategy, representation choices, and simulation budget.
Develop practical experience with parameter-efficient adaptation methods such as LoRA under data-scarce engineering conditions.
Build fluency with uncertainty estimation, physical consistency checks, and engineering-relevant error analysis.
Take a research model from Python experimentation toward robust C++ and LibTorch integration.
Collaborate across machine learning, RF design, simulation, measurement, and runtime engineering disciplines.

Responsibilities

Generate parametric engineering datasets using simulation and/or measurement sources, with attention to sampling strategy and to numerical noise in the underlying data.
Design, train, and evaluate neural surrogate models for engineering response prediction.
Investigate how the choice of output representation affects accuracy, particularly across operating regions or frequency ranges where the response varies sharply.
Establish rigorous baselines and quantify accuracy as a function of simulation or measurement budget.
Evaluate LoRA and related parameter-efficient methods for specializing trained models to new problem settings, against full and partial fine-tuning.
Develop calibrated uncertainty estimates so that predictions can be trusted or deferred appropriately.
Verify physical consistency and engineering constraints - including passivity, causality, and reciprocity where applicable - and report engineering-relevant metrics including worst-case behavior.
Analyze the simulation corpus and model behavior: parameter sensitivity, response dimensionality, data quality and solver noise, and where prediction error concentrates across frequency and design space.
Prototype model training and inference integration in C++ and LibTorch within an engineering ML runtime environment.

Qualifications

Required Qualifications

Currently pursuing or recently completed a PhD in Machine Learning, Computer Science, Applied Mathematics, Electrical or Electronic Engineering, or a related technical field.
Hands-on experience across multiple neural architectures - transformers, neural operators, graph networks, CNNs - and sound judgment about which suits a given problem.
Strong Python and PyTorch, with experience training and debugging neural networks well beyond tutorial scale.
Strong C++ and hands-on LibTorch experience to implement and integrate models into a production runtime.
Solid grasp of transfer learning, fine-tuning, and parameter-efficient methods such as LoRA.
Strong applied statistics and exploratory data analysis, including sensitivity analysis and dimensionality reduction, and the judgment to diagnose a model from its errors rather than its aggregate score.
Experimental discipline: rigorous baselines, careful ablations, experiment tracking, reproducible results.
Willingness to learn the underlying physics rather than treat it as arbitrary numerical data. Mentorship will be provided.

Preferred Qualifications

Background in RF, microwave, high-speed digital, or test and measurement engineering; familiarity with S-parameters, filters, or interconnect.
Experience with EM simulation tools and their scripting interfaces, such as Keysight ADS, RFPro, Momentum, or comparable tools, or engineering measurement and test automation environments.
Experience with surrogate modeling, operator learning, physics-informed machine learning, or scientific machine learning generally.
Experience with uncertainty quantification, conformal prediction, or Gaussian process regression.
CUDA, cuDNN, or TensorRT experience, or prior experience shipping a research model in C++.

Prerequisites

Version control, modular code structure, and reproducible experiment pipelines.
CMake and Git workflows for sizeable C++ projects, and comfort profiling and debugging C++ code.
Ability to design an evaluation that answers a question rather than one that produces a favorable number.
Clear technical communication to both machine learning researchers and engineering stakeholders.

What This Internship Offers

Apply modern machine learning to physical engineering data in an industrial setting.
Learn parameter-efficient adaptation and transfer learning under severe data scarcity.
Develop working fluency in RF and high-speed concepts, measurement data, and simulation workflows.
Take a research model the full distance, from Python prototype to robust C++.
The opportunity to shape how machine learning accelerates engineering design and test at a company that builds both the simulators and the instruments that validate them.
Mentorship across machine learning, simulation, measurement, and RF design, with access to engineering tools and realistic engineering datasets.
A portfolio-defining project spanning scientific machine learning, efficient model adaptation, and real-world engineering applications.

CA Pay Range:

(PhD) $51-$56

Based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed above.

Note: For other locations, pay ranges will vary by region.

Candidates who wish to be considered must be enrolled in an accredited college/university as of September 2027.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

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More about this job

Skills

Machine learning
Data analysis
Estimating
Research
Python
C++
ML
Computer science
PyTorch
Debugging
Statistics
Test automation
CMake
Git
Communication skills

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