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Full-stack Engineer 4
Capital One
Richmond, VA
Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
Added just now
Full-stack Engineer 5 (Sr. Lead / Sr. Manager IC)
Capital One
McLean, VA · Richmond, VA · NY · Wilmington, DE
Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
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Full-stack Engineer 4
Capital One
Plano, TX
Join the Servicing Tech division at Capital One and build impactful, purpose-driven solutions that support customers throughout the entire lifecycle of their auto loan. Leveraging a modern…
Added just now
Full-stack Engineer 5
Capital One
Plano, TX
Join the Servicing Tech division at Capital One and build impactful, purpose-driven solutions that support customers throughout the entire lifecycle of their auto loan. Leveraging a modern…
Added just now
Senior Manager, Full-Stack Engineer (Java | JavaScript | Typescript | AWS)
Capital One
Plano, TX
Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
Added just now
Full-stack Engineer 4 (Global Payment Network)
Capital One
Riverwoods, IL · Chicago, IL
Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
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AI Engineer 4 (Gen AI Platform Services)
Capital One
San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA · NY
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 2 mins ago
Sr Principal Application Engineer
CADENCE US
United States
The Architect will serve as a technical leader within Cadence’s North America Field Applications Team, driving strategic customer engagements and influencing next-generation EDA &…
Added 2 mins ago
CU
Application Engineer
CADENCE US
United States
- $157,500 to $292,500 USD / year
The Architect will serve as a technical leader within Cadence’s North America Field Applications Team, driving strategic customer engagements and influencing next-generation EDA &…
Added 2 mins ago
UX Design Strategist
Oteemo, Inc
Remote, United States
Works to unify product and engineering personnel behind a product design that caters to target audiences; shapes product development with Product Manager, Product Owner, Lead…
Added 5 mins ago
Geotechnical Senior Project Engineer
ECS Ltd
Tempe, AZ
ECS Limited is seeking an experienced Geotechnical Senior Project Engineer to manage key client projects in our Phoenix office. The Geotechnical Senior Project Engineer leads and oversees…
Added 5 mins ago
Geotechnical Project Manager
ECS Ltd
Lexington, SC
Good knowledge of geotechnical principles and applications
Added 5 mins ago
G
Civil Design Engineer
GPAC
Houston, TX
- $80,000 to $100,000 USD / year
We are seeking a talented and motivated Civil Design Engineer to join our growing team. This individual will be responsible for the design and development of land development and…
Added 8 mins ago
J
Structural Engineer
Jobot
Milwaukee, WI
- $150,000 USD / year
&bullet; Take ownership of structural design, calculations, and construction documents.
Added 8 mins ago
A
Smt Engineer
Actalent
Harrodsburg, KY
- $110,000 to $140,000 USD / year
This SMT Engineer role focuses on developing and optimizing surface mount technology (SMT) processes to support high-quality electronic manufacturing. You will investigate and implement new…
Added 8 mins ago
Lead, Radar Simulation & Algorithms Engineer
L3Harris Technologies
Richardson, TX · Plano, TX
As a Lead, Radar Simulation and Algorithms Engineer you will provide technical leadership in the architecture, development, and validation of high-fidelity radar simulations and advanced RF…
Added 8 mins ago
Front End Web Applications Developer (Mid-Level) (5664)
SMX
Frankfort, KY
SMX is currently looking for a highly motivated Software Engineer - Front End Web Applications to contribute to the design, build, support, and implementation of the Budget and Spend (BAS)…
Added 8 mins ago
Front End Web Applications Developer (Junior) (5660)
SMX
Frankfort, KY
SMX is currently looking for a highly motivated Software Engineer - Front End Web Application s to contribute to the design, build, support, and implementation of the Budget and Spend (BAS)…
Added 8 mins ago
Senior Software Engineer (Institutional, Financing)
Coinbase
Frankfort, KY
As a Senior Software Engineer on the Financing Engineering team within the Institutional group, you'll design, build, and scale the systems that safely manage billions of dollars in loans…
Added 8 mins ago
Lead Software Engineer
Highmark Health
Frankfort, KY
The job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. The position…
Added 8 mins ago
Associate Software Engineer
Highmark Health
Frankfort, KY
This job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. Responsible for…
Added 8 mins ago
Software Engineer 2
Humana
Frankfort, KY
The Software Engineer 2 develops, tests, and maintains software applications that support business and technology objectives. The associate works on moderately complex assignments,…
Added 8 mins ago
Software Engineer
Humana
Frankfort, KY
We are seeking a Software Engineer with experience developing, testing, and supporting production applications. The preferred candidate will have exposure to Epic or a similar healthcare…
Added 8 mins ago
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Frankfort, KY
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 8 mins ago
Mechanical Engineer, Data Center Operations Engineering
Meta
Frankfort, KY
Meta is seeking a Mechanical Engineer to join our Data Center Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently…

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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