Jobs in the United States

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Mechanical Engineer
GPAC
Texarkana, AR
An employee owned and operated manufacturer in the area is searching for a Mechanical Engineer to join their team. The company is a leader in their respective markets and committed to both…
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Mechanical Engineer
GPAC
Russellville, AR
An employee owned and operated manufacturer in the area is searching for a Mechanical Engineer to join their team. The company is a leader in their respective markets and committed to both…
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HPE NonStop (Tandem) Systems Engineer
Zions Bancorporation
UT · Denver, CO · San Diego, CA
Zions is seeking an experienced HPE NonStop (Tandem) Systems Engineer that will provide operational support for mission critical, high availability HPE-NonStop (Tandem) compute platform.…
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Systems Engineer
Calvert Systems Engineering Inc
Bellevue, NE
As a System Engineer, you will be responsible for supporting system design, analysis, integration, and documentation across software, hardware, and architectural development efforts. You…
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Software Engineer
Calvert Systems Engineering Inc
Bellevue, NE
As a Software Engineer, you will be responsible for serving as the primary expert in a specialized technical area, such as information technology or a specific software application, and act…
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Builds Engineer I
Courser
Greenville, SC
The Builds Engineer I is responsible for designing, configuring, and deploying IT environments for clients, including setting up new workstations, laptops, servers, networking solutions,…
Added 1 min ago
Lead Test Engineer
LEIDOS, INC.
Eagan, MN
Leidos is seeking a Test Engineer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP). L-CAP is a…
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Data Engineer
LEIDOS, INC.
Remote, United States
The Homeland Sector at Leidos currently has an opening for a Data Engineer with a strong background in data analytics to support an exciting DHS software development program. The Data…
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Principal Mechanical Engineer
LEIDOS, INC.
Albuquerque, NM
Leidos is seeking a Principal Mechanical Engineer to join our Directed Energy team in Albuquerque, New Mexico. The ideal candidate will have a background in thermal analysis, engineering…
Added 1 min ago
Associate Settings and Automation Engineer
LEIDOS ENGINEERING INC
Framingham, MA
…for electric power substations, transmission and distribution systems, protection and controls design, and electrification programs. Utilities nationwide rely on Leidos for trusted power…
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Integration Engineer
LEIDOS, INC.
Remote, United States
Leidos seeks an experienced, hands-on Integration Engineer for the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS)…
Added 1 min ago
First Article Inspection Systems Engineer- Mid Level
Dynetics, Inc
Huntsville, AL
Leidos Defense is seeking a Systems Engineer to support an active Hypersonics production program. In this role, you'll work directly with the Lead Systems Engineer to manage the First…
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Data Engineer
LEIDOS, INC.
Remote, United States
Leidos is seeking a Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program. The engineer…
Added 1 min ago
Senior Data Engineer
LEIDOS, INC.
Remote, United States
Leidos is seeking a Senior Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program.
Added 1 min ago
Senior Systems Engineer - Deputy Project Manager
LEIDOS, INC.
San Diego, CA
The Undersea Systems Division at Leidos currently has an opening for a Senior Systems Engineer - Deputy Project Manager to support a customer site in San Diego, California. This is an…
Added 1 min ago
Senior Systems Engineer – Technical Program Lead
LEIDOS, INC.
San Diego, CA
The Undersea Systems Division at Leidos currently has an opening for a Senior Systems Engineer/Technical Program Lead to support a customer site in San Diego, California. This is an…
Added 1 min ago
Manufacturing Engineer
& A1 Woodward HRT, Inc.
Spartanburg, SC
Sr Manufacturing Engineer (Level III) - PREFERRED CANDIDATE IDENTIFIED
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Transportation Engineer
GPAC
Atlanta, GA
- $80,000 to $115,000 USD / year
We are seeking a Transportation Engineer to join a dynamic, multi-disciplinary engineering consulting firm. This individual will contribute to the planning, design, and delivery of…
Added 2 mins ago
Chemical Engineer I
Stefanini Group
Southfield, MI
Stefanini is looking for a Chemical Engineer I in Southfield, MI 48033
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LEAD ENGINEER - MEP (3RD SHIFT)
Compass Group
Florence, KY
The Lead Engineer - MEP is responsible for overseeing the operation, maintenance, repair, and optimization of all mechanical, electrical, and plumbing (MEP) systems within the facility…
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ENGINEER, CHIEF
Compass Group
Florence, KY
The Lead Engineer - MEP is responsible for overseeing the operation, maintenance, repair, and optimization of all mechanical, electrical, and plumbing (MEP) systems within the facility…
Added 2 mins ago
Associate Test Engineer
NTN Bearing Corp
Farmington Hills, MI · Anytown, MI
Are you looking for a successful career? Come and be a part of our over 100-year history as a Test Engineer! NTN Bearing Corporation (NBCA) is a major division of a multinational…
Added 2 mins ago
Engineer, Business Intelligence - 1st Shift
GXO Logistics
Union City, GA
At GXO, we believe that knowledge is power. As the Business Intelligence Engineer, you will drive our strategy for business intelligence (BI) solutions and reporting tools. You’ll be…
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Clerk II - Day Shift - Lebanon, IN
GXO Logistics
Lebanon, IN
Ensure packaging, routing and systems work is completed quickly and accurately
Added 4 mins ago
DFT Engineer
Tenstorrent
Austin, TX · Fort Collins, CO · Santa Clara, CA
…offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status…

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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