Jobs in the United States

25+ jobs

Save this search

Added just now
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…
Added just now
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…
Added just now
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 just now
Associate Settings and Automation Engineer
LEIDOS ENGINEERING INC
Framingham, MA
Leidos Energy is hiring for a Senior Microgrid Automation Engineer to join our diverse and fast-paced organization. As a core team member, you will be interacting with other electric…
Added just now
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 just now
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…
Added just now
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 just now
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 just now
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 just now
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 just now
Application Security Engineer
LEIDOS, INC.
Omaha, NE
The Defense Sector at Leidos is seeking a talented Application Security Engineer to join our dynamic Agile software teams in Omaha, Nebraska. This opportunity will provide professional…
Added 1 min ago
Manufacturing Engineer
& A1 Woodward HRT, Inc.
Spartanburg, SC
…abilities, as well as internal equity and alignment with market…
Added 1 min ago
Robotic Field Engineer / Construction Surveyor
Brasfield & Gorrie, LLC
Charlotte, NC
Brasfield & Gorrie is currently accepting applications for Robotic Field Engineer / Construction Surveyor. Below are the main responsibilities for this position.
Added 1 min ago
Rodman
Brasfield & Gorrie, LLC
Charlotte, NC
Assist Field Engineer in concrete and pipe lay out.
Added 2 mins ago
LEAD ENGINEER - MEP (3RD SHIFT)
Compass Group
Florence, KY
Position Title: LEAD ENGINEER - MEP (3RD SHIFT)
Added 2 mins ago
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…
Added 4 mins ago
Practice Director - Cloud AI, Digital Innovations
Woolpert
Dayton, OH · Fort Worth, TX
Google Certification: Google Cloud Certified Professional Cloud Architect, Data Engineer, or Professional Machine Learning Engineer required.
Added 5 mins ago
Project Manager
Therma
Salt Lake City, UT
…Education, Healthcare, Food & Beverage, Commercial, Industrial and Data Center facilities. Our culture is open, innovative, collaborative, and fun – all reflected in recognition of Therma…
Added 5 mins ago
Digital S/W Eng Intm Analyst - Officer
Citibank, N.A.
United States
The Digital S/W Engineer Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth…
Added 5 mins ago
Senior Fullstack Software Engineer, Startpage
System1
Los Angeles, CA
You will be a senior full stack engineer on the Startpage Consumer team, a small North America-based group where every engineer works with AI coding agents as a core part of the job. You…
Added 5 mins ago
SO
Data Analytics and Systems Engineer (Systems Engineer II) - 61167545
State of South Carolina
West Columbia, SC
- $67,728 to $121,890 USD / year
About the RoleYou’ll turn complex education data and business needs into reports, dashboards, and working data systems that people can use.
Added 6 mins ago
FR
Senior Quality Engineer
Front Range Staffing
Pueblo, CO
- $110,000 USD / year
Added 6 mins ago
NEW JOB TEMPLATE
TRM Labs
Remote, United States
- 5+ years in pre- and post-sales technical roles (Solutions Architect, Sales Engineer, Solutions Engineer, or Customer Success Engineer), increasingly using AI tools in your workflow.

Keysight Technologies, Inc.

Machine Learning - PhD Intern (Modeling and Data Analysis)

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

Apply About employer

Applications open in a new tab.

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.***

Apply About employer

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

Report this job