Full-Time

Wireless Protocol Software Engineer

Multiple Teams

Deadline 3/31/27
Keysight Technologies

Keysight Technologies

10,001+ employees

Manufactures test equipment and measurement software

Compensation Overview

€38.8k - €64.6k/yr

Fleet, UK + 1 more

More locations: Milan, Metropolitan City of Milan, Italy

In Person

Master's, PhD

Category
Software Engineering
Required Skills
Python
Wireshark
Git
Version Control
JIRA
C/C++
DevOps
Linux/Unix

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Requirements
  • An MSc or PhD in Telecommunications Engineering, Computer Engineering, or a related field.
  • Strong theoretical knowledge of wireless communications and 3GPP LTE and 5G NR.
  • Understanding of Layer 2 protocols, including MAC, RLC, and PDCP, from coursework, a thesis, or research.
  • Programming skills in C or C++.
  • Basic knowledge of multithreading or concurrent programming.
  • Basic knowledge of software development practices and debugging.
  • Analytical and problem-solving ability.
  • Good communication skills in English.
Responsibilities
  • Contribute to the design, development, and testing of Layer 2 protocol stack components, including MAC, RLC, and PDCP.
  • Support development of UE and base station (gNB) emulation solutions.
  • Analyze and implement features from 3GPP LTE and 5G NR specifications.
  • Translate requirements into clean and maintainable code, test cases, and validation scenarios.
  • Collaborate with systems, RF, protocol, and software teams to investigate and debug protocol behavior and support issue analysis and resolution.
  • Participate in continuous learning of evolving standards and technologies, including 5G Advanced and pre-6G.
Desired Qualifications
  • Hands-on experience from academic projects, an internship, or a thesis in wireless protocol implementation or simulation.
  • Experience with network emulation or system-level modeling.
  • Familiarity with a Linux development environment.
  • Familiarity with version control systems such as Git.
  • Familiarity with debugging or protocol analysis tools such as Wireshark.
  • Exposure to O-RAN concepts or modern network architectures.
  • Exposure to scripting languages such as Python.
Keysight Technologies

Keysight Technologies

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Keysight Technologies sells test and measurement hardware and software for electronics design and deployment. Its products combine precise instruments with software to measure, analyze, and validate designs, supporting work from prototyping to production in areas like electronic design, e-mobility, network monitoring, and 5G. The company differentiates itself with a wide range of industry-grade instruments, integrated software for end-to-end test workflows, and ongoing services and support, including involvement in 6G development. Its goal is to help customers digitalize and speed up the design, testing, and deployment of electrical and telecommunications technologies.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Rosa, California

Founded

1939

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q3 2026 orders hit $2.91 billion, validating demand across AI and defense.
  • August 2026 guidance raised Q4 revenue to $1.93-$1.95 billion.
  • September 2026 York collaboration extends Keysight's automotive AI safety software into ISO/PAS 8800.

What critics are saying

  • Supply chain constraints already limit revenue conversion, risking missed 2026 upside.
  • Cadence, Synopsys, and Siemens now back Intel 14A, squeezing Keysight's EDA leverage.
  • If AI infrastructure and defense spending cool, Keysight's record pipeline converts into a slower 2027.

What makes Keysight Technologies unique

  • Keysight's integrated design-to-test stack spans semiconductors, automotive, 5G, and defense.
  • Spirent integration deepens Keysight's network emulation moat across GNSS, NTN, and PNT.
  • Intel 14A certification and VPIphotonics broaden Keysight's ecosystem position in advanced chips.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Life Insurance

Disability Insurance

401(k) Retirement Plan

Flexible Time Off

Paid Holidays

Paid Family Leave

Tuition Reimbursement

Employee Stock Purchase Plan

Company News

Computer Weekly
Sep 4th, 2026
Keysight, CfAA accelerate software-defined vehicle AI safety assurance.

Keysight, CfAA accelerate software-defined vehicle AI safety assurance. Research initiative aims to close gap between AI safety research and practical engineering to reduce risk and enable faster, safer deployment of AI-enabled automotive systems. Published: 04 Sep 2026 10:23 Looking to enable automakers and suppliers to meet emerging industry requirements while reducing development risk and accelerating the deployment of artificial intelligence (AI-)enabled automotive systems, Keysight Technologies and the Centre for Assuring Autonomy (CfAA) at the University of York (UK) have announced a research collaboration to advance the safe deployment of AI in software-defined vehicles (SDVs). Keysight and the CfAA noted that AI has rapidly become a core technology in advanced driver assistance systems (ADAS), automated driving functions and SDVs. As these capabilities become more sophisticated, automotive organisations face growing pressure to demonstrate that AI systems operate safely, reliably and as intended, not only during development but throughout the vehicle lifecycle. Keysight and CfAA stressed that providing that proof is one of the industry's most significant challenges, as automakers work to bring increasingly intelligent vehicles to market while meeting evolving regulatory and safety expectations. The University of York has a legacy in research in safety engineering and the assurance of complex systems across domains, including transport and automotive. By combining the university's academic expertise with Keysight's AI validation techniques, the collaboration seeks to advance methodologies applicable to automotive AI development. In addition, Keysight and the CfAA said that they will focus on developing practical methods for validating AI systems and generating the evidence needed to demonstrate their safety and reliability. By working together, they assured that they will help to bridge the gap between AI safety research and practical engineering by advancing methodologies for structured AI safety cases and building justified confidence in the safety of AI-enabled automotive systems. In deeper technical terms, the research will focus on the creation of evidence-driven approaches to support the implementation of ISO/PAS 8800 requirements, exploring measurable safety-scoring methodologies grounded in academic research and industry standards, and creating practical frameworks for generating auditable AI safety evidence. The two organisations said the resulting methodologies are intended to support the process of building AI safety cases, improve confidence in AI validation and help engineering teams demonstrate justified AI safety more efficiently throughout the product lifecycle. The research is also expected to inform future development of Keysight's AI Software Integrity Builder, enable enhanced support for AI safety arguments and safety evidence generation, and offer validation activities aligned with automotive industry expectations. "The automotive industry is at a pivotal point where AI technologies are becoming increasingly integral to vehicle functionality. Ensuring these systems can be evaluated using robust, evidence-based approaches is essential. This is where the CfAA is ideally placed to support Keysight," said Simon Burton, chair in systems safety at the University of York. "We have produced several freely accessible frameworks and guidance already being used by industry safety professionals in the transport sector. This collaboration is another way we are supporting the advancement of practice methods that help translate AI safety principles into engineering practices that can be applied in safety-critical environments." Lukas Klose, head of the automotive AI solution centre at Keysight, added: "Automotive organisations need practical and scalable ways to build confidence in AI-enabled systems. By combining leading research in safety assurance with Keysight's holistic AI Validation Framework, we aim to develop methodologies that help engineering teams generate structured evidence for AI safety cases and support the deployment of trustworthy AI technologies in conformance with international standards such as ISO/PAS 8800." * Software-defined vehicles enter era of AI-driven value creation: Survey shows smart diagnostics and predictive maintenance emerging as top use cases for AI in software-defined vehicles industry, but expected monetisation yet to materialise. * Software-defined vehicles drive next-gen auto architectures: Research highlights trend in automotive industry towards software-defined vehicles where functionality, user experience and monetisation opportunities are governed increasingly by software rather than hardware. * Intel accelerates software-defined vehicles with SoC first: Automotive technology arm of chip giant Intel unveils product and customer development that it says marks a step forward in software-defined vehicle strategy. * Renault charges Ampere to drive future with software-defined vehicles: With software-defined vehicles key to bringing it closer to customers, auto manufacturer deploys digital chassis solution to accelerate the time it takes to roll out new features to cars.

Automotive World
Sep 4th, 2026
Keysight and York University target ISO/PAS 8800 for SDVs.

Keysight and York University target ISO/PAS 8800 for SDVs. The AI safety evidence gap is the most significant obstacle to automotive AI deployment; Keysight and York are making it their focus * September 4, 2026 Keysight Technologies and the Centre for Assuring Autonomy (CfAA) at the University of York have announced a research collaboration to develop practical methods for validating AI in software-defined vehicles (SDVs) and generating auditable safety evidence. The work targets ISO/PAS 8800 compliance to help automakers and suppliers reduce deployment risk. The collaboration will develop evidence-driven approaches for automotive AI safety cases, including measurable safety-scoring methodologies and practical frameworks for generating auditable safety evidence. Outputs help engineering teams demonstrate justified AI safety throughout the vehicle lifecycle. The growing complexity of automotive AI in SDVs is placing mounting pressure on organisations to demonstrate safe and reliable operation across the vehicle lifecycle. The research is expected to inform development of Keysight's AI Software Integrity Builder, supporting AI safety arguments and validation. Lukas Klose, Head of the Automotive AI Solution Center, Keysight, said: "Automotive organizations need practical and scalable ways to build confidence in AI-enabled systems. By combining leading research in safety assurance with Keysight's holistic AI Validation Framework, we aim to develop methodologies that help engineering teams generate structured evidence for AI safety cases and support the deployment of trustworthy AI technologies in conformance with international standards such as ISO/PAS 8800."

StockTitan
Sep 2nd, 2026
Keysight to showcase expanded PNT capabilities at ION GNSS+ 2026.

Keysight to showcase expanded PNT capabilities at ION GNSS+ 2026. At booth #201, Keysight demos SimXTRACT turning captured I/Q into editable GNSS simulation scenarios on its PNT emulator at ION GNSS+ 2026. Don't miss StockTitan's market coverage in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google 09/02/2026 - 08:00 AM SANTA ROSA, Calif.-(BUSINESS WIRE)- Keysight Technologies, Inc. (NYSE: KEYS): What: At ION GNSS+ 2026, Keysight will demonstrate smarter ways to design, emulate, and validate Positioning, Navigation, and Timing (PNT) technologies to accelerate innovation and assure resilient systems. With Spirent now part of Keysight, the company will present its expanded expertise and capabilities across Global Navigation Satellite Systems (GNSS), alternative PNT, autonomous systems, NAVWAR, sensor fusion, and realistic field-to-lab testing. When: September 14 - 18, 2026 Where: Keysight booth #201, Hyatt Regency Grand Cypress, Orlando, FL Keysight experts will show how intelligent insights and advanced test solutions can reduce development risk, accelerate validation, and speed time-to-market with the following demonstrations: Building Resilient PNT with Sensor Fusion Keysight will demonstrate how PNT X supports resilient PNT development by bringing GNSS together with inertial and other sensors, LEO PNT, and signals of opportunity in a controlled test environment. Developers can evaluate how multiple positioning and timing sources work together, then stress these layered PNT architectures under realistic contested conditions including jamming and spoofing. Enabling System-of-Systems Testing By synchronizing PNT X and EWASP, Keysight creates a coordinated, multi-domain RF test environment. Combining realistic GNSS/PNT signals with radar, communications signals, and dynamic EW threats, developers can evaluate system performance under complex, time-aligned conditions and validate resilient PNT behavior in increasingly representative operational scenarios. Integrating GNSS and Non-Terrestrial Networks This demonstration shows how PNT Xe and UXM bring GNSS and non-terrestrial network (NTN) testing together in a controlled lab environment. Developers can evaluate chipset interoperability, positioning performance, and GNSS/NTN integration to explore layered architectures that combine multiple PNT sources to accelerate development of next-generation resilient PNT solutions. Bridging the Realism Gap from Field to Lab SimXTRACT software showcases how engineers can overcome the problem of understanding composite GNSS signals in a real environment, and how they affect a PNT device's performance. By decomposing captured I/Q data from record and playback systems into discrete line-of-sight signals, multipath, and precise ground truth, SimXTRACT enables the creation of a fully editable GNSS simulation scenarios that replicate the original environment in a Keysight PNT emulator. About Keysight Technologies Keysight (NYSE: KEYS) serves technology innovators as a mission-critical design enablement partner for the world's most complex engineering challenges. By connecting market-leading design, emulation, and test solutions across the full life cycle, Keysight helps engineering teams accelerate innovation, reduce risk, and bring new technologies to market faster. Customers across AI infrastructure, communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics rely on Keysight to bridge virtual design and physical reality, enabling confident decisions earlier. Learn more at www.keysight.com. Keysight Media Contacts Key terms. gnss technical sensor fusion technical non-terrestrial networks technical i/q data technical

Harvey Mudd College
Sep 1st, 2026
Keysight gift expands hands-on engineering education at Harvey Mudd.

Keysight gift expands hands-on engineering education at Harvey Mudd. September 1, 2026 The Department of Engineering at Harvey Mudd College has announced a major equipment and software gift-in-kind valued at approximately $200,000 from Keysight Technologies. The generous contribution will fundamentally upgrade the College's engineering laboratories, introducing state-of-the-art workstations to support growing student enrollment, and accelerate hands-on technological innovation. The donation consists of industry-grade oscilloscopes, advanced power supplies, and specialized design and simulation software. The equipment is slated for installation across three distinct engineering laboratories inside the academic hub of the Parsons Building. By replacing aging instrumentation and expanding the capacity of its lab spaces, the additional workstations will ensure that students train on the same platforms used by leading research and development firms worldwide. Keysight Technologies is a premier global technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world. Doug Baney, Keysight corporate director of education, says, "This collaboration with Harvey Mudd will expand the exceptional experiential education offered to its students, giving them hands-on experience with advanced technologies and preparing them for success in industry." "This partnership with Keysight Technologies comes at a perfect time for our department," says Nancy Lape, professor and chair of the engineering department at Harvey Mudd. "Access to modern laboratory tools prepares our engineers with industry-relevant, hands-on training that is crucially important for understanding the real world." The project's core objective is to significantly expand student access to updated, high-quality instrumentation within Harvey Mudd's engineering Core classes. These foundational courses cover critical STEM fields, including introductory robotics, analog design, microcontroller design and radio frequency systems. Through direct engagement with the new Keysight tools, Harvey Mudd students will apply theoretical concepts to real-world engineering through hands-on experimentation in: * Circuit Analysis and Design: Building and evaluating complex electronic networks. * Signal Processing: Capturing, interpreting and manipulating electrical data waveforms. * System Testing and Troubleshooting: Isolating system faults and optimizing hardware performance. These experiences are designed to elevate students' problem-solving skills and technical competencies - metrics that are assessed regularly as part of HMC's ongoing department evaluation efforts and long-term academic research studies. Beyond the Core classroom, this gift enhances Harvey Mudd's signature Clinic Program, where student teams collaborate with external corporate partners to solve pressing engineering challenges.

Yahoo Finance
Aug 26th, 2026
Keysight appoints Scott Reese to board, former GE Vernova exec who led $1.2B software turnaround

Keysight Technologies has appointed Scott Reese to its board of directors, effective immediately. Reese will serve as a Class I director until 2027 and join the Nominating and Corporate Governance Committee and Audit and Finance Committee. Reese most recently served as president and chief executive officer of GE Vernova's Electrification Software business, where he led the transformation of GE's $1.2 billion industrial software business. Before that, he spent nearly two decades at Autodesk in progressively senior roles, including executive vice president of Product Development & Manufacturing Software. He currently serves on the boards of Planet Labs, Landis+Gyr, and AutoLOTO.