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Added 1 min ago
Senior Salesforce Developer
MedSpeed
Elmhurst, IL
The Senior Salesforce Engineer will spend most of their time writing code and be responsible for developing, maintaining, and modernizing an established Salesforce platform supporting live…
Added 1 min ago
NS
Electrical Engineer (Prism)
Northwood Space
Los Angeles, CA, CA
- $125,000 to $145,000 USD / year
Northwood is looking for an Electrical Engineer to own the non-RF electronics design for Prism, our 2.4-meter parabolic antenna for high-throughput satellite links. You will design the…
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
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 2 mins ago
Lead, Radar Simulation & Algorithms Engineer
L3Harris Technologies
Richardson, TX · Plano, TX
Job Title: Lead, Radar Simulation and Algorithms Engineer
Added 2 mins ago
Sr. Associate, Software Engineering
L3Harris Technologies
Carlsbad, CA · Salt Lake City, UT
L3Harris is seeking a Software Engineer focused on system software development for embedded devices and communication systems. This role contributes across the full software development…
Added 2 mins ago
GNC Engineer (Dragon)
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Hawthorne, CA
As a GNC Engineer on the Dragon team, you will be responsible for performing mission design and implementing new GNC algorithms tailored to crewed and cargo spacecraft operations. You will…
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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 2 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 2 mins ago
Director - Customer Response Engineering
Trellix
Frankfort, KY
Build and run a lab that reproduces customer environments. Use it to reproduce issues quickly and to test releases before customers deploy them.
Added 2 mins ago
Network Operations Engineer
Meta
Frankfort, KY
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
Added 2 mins ago
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Information Security Engineer
TTEC
Frankfort, KY
- $65,000 to $70,000 USD / year
…award-winning employment experience. As a Information Security Engineer working remote in US, you’ll be a part of bringing humanity to business.…
Added 2 mins ago
R&D Engineer Hardware 4
Broadcom Corporation
United States
Job Title: Principal Machine Learning & Silicon Yield Engineer
Added 2 mins ago
MS
Software Engineer Cybersecurity Services - 2027 Summer Internship
Motorola Solutions
Louisville, KY
- $7.25 USD / hour
Understanding of test automation and Test-Driven Development (TDD)
Added 2 mins ago
Senior Lead Engineer
PwC
Louisville, KY
As a Senior Lead Engineer you will lead custom application development and testing efforts that help clients turn business needs into scalable software solutions across cloud-native and…
Added 2 mins ago
Senior Engineer
PwC
Louisville, KY
As a Senior Engineer you will help design, build, and test custom applications within our Advisory practice, bringing together software engineering, cloud-based solution delivery, and…
Added 2 mins ago
Lead Engineer
PwC
Louisville, KY
As a Lead Engineer you will guide the design, build, testing, and modernization of custom applications across cloud-native and on-premise environments, using modern engineering approaches,…
Added 2 mins ago
EG
QA Automation Engineer
Eliassen Group
Frankfort, KY
- $75 to $82 USD / hour
…reviews. The role will contribute to requirement analysis, test planning, execution, and results reporting while collaborating across agile…
Added 2 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Frankfort, KY
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 3 mins ago
MTS Software Development Engineer
Advanced Micro Devices, Inc
Santa Clara, CA
…Development Engineers to Research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations, applying…
Added 3 mins ago
Sr. Silicon Design Engineer
Advanced Micro Devices, Inc
Fort Collins, CO
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. 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 device…
Added 3 mins ago
Sr. Silicon Design Engineer
Advanced Micro Devices, Inc
Austin, TX
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
Test Engineer
Advanced Micro Devices, Inc
San Jose, CA
Job Role and Responsibility: Xilinx, Inc., a subsidiary of AMD, Inc., is hiring Test Engineer to Define, develop, and maintain the data infrastructure used to identify ICC, Test Time, and…
Added 3 mins ago
MTS Systems Engineer
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Job Role and Responsibility: Xilinx, Inc., a subsidiary of AMD, Inc., is hiring MTS Systems Engineer to Research, design, develop, and/or test electronic components and systems for…

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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