Qureos Mentor

Keysight Technologies

<div>Overview:
<div>
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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.</div><div></div><div><br>
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.</div><div></div><div><br>
Keysight AI Labs develops cutting-edge machine learning models, optimization methods, and generative techniques to accelerate simulation and measurement workflows. This role ensures those models become production-ready, high-performance software components that integrate seamlessly into Keysight products.</div><div></div><div><b><br>
Role Summary</b></div><div>
We are seeking a full-time Software Engineer with a strong background in backend systems, software architecture, and ML system integration to productize and deliver ML solutions developed by our ML engineers and data scientists. This role is ideal for someone who can bridge research and productization &mdash; converting model prototypes into modular, performant, and maintainable components that integrate into Keysight&rsquo;s software and T&amp;M platforms, ensuring scalability, robustness, and production quality.</div>
Responsibilities:
<ul><li><b>Collaborate with ML engineers, data scientists, and product teams</b> to gather requirements and translate ML models into production-ready software components.</li><li><b>
Design and implement scalable software architectures</b>, including:</li><li><ul><li>
Model inference microservices</li><li>
Backend libraries and APIs for ML components</li><li>
Feature serving and data pipelines for model inputs/outputs</li></ul></li><li>
Write production-grade code in C++, Python, and Java with strong emphasis on performance, maintainability, and modularity.</li><li>
Develop custom C++ and CUDA kernels where necessary to accelerate model inference, preprocessing, or data transformations.</li><li>
Implement CI/CD pipelines, automated testing suites, and containerized deployments (Docker, Kubernetes).</li><li>
Profile and optimize latency, memory footprint, and GPU utilization for high-throughput, low-latency inference.</li><li>
Ensure software components are versioned, observable, and maintainable (logging, monitoring, rollback strategies).</li><li>
Work with business and product teams to integrate ML components into Keysight&rsquo;s commercial software and measurement platforms.</li><li>
Document APIs, integration patterns, and deployment guidelines for internal and external consumption.</li></ul>
Qualifications:
<div><b>
Required Qualifications</b></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related technical discipline.</li><li>
5+ years of experience developing backend systems or production ML components.</li><li>
Proficiency in C++, Python, and Java, with demonstrated ability to deliver performant, reliable code.</li><li>
Hands-on experience with CUDA programming and GPU acceleration (profiling, kernel optimization).</li><li>
Experience building distributed backend systems and APIs for model serving or data pipelines.</li><li>
Familiarity with ML model serving frameworks (ONNX Runtime, TensorRT, TorchServe).</li><li>
Strong experience with CI/CD pipelines, containerization, and orchestration (Docker, Kubernetes).</li><li>
Solid understanding of software engineering best practices: version control, modular architecture, automated testing, code reviews.</li><li>
Strong communication skills and ability to work cross-functionally with ML teams, product owners, and business stakeholders.</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Experience integrating ML components into commercial software or hardware platforms.</li><li>
Familiarity with performance-critical deployment scenarios (low-latency inference, on-device execution).</li><li>
Experience with infrastructure-as-code (Terraform) and hybrid cloud deployments (AWS, Azure).</li><li>
Contributions to production ML/MLOps systems, internal frameworks, or developer tooling.</li></ul><div>
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***</div></div>

Senior Software Engineer – AI/ML Systems

<div>Overview:
<div>
Keysight accelerates innovation to connect and secure the world. Our solutions span wireless communications, semiconductors, aerospace/defense, automotive, and beyond. We combine measurement science, simulation, and advanced AI to help engineers design, simulate, and validate the world&rsquo;s most advanced systems. The Keysight AI Labs is pioneering scientific machine learning and physics &amp; T&amp;M-informed AI to transform Keysight&rsquo;s software, simulation, and measurement products. We are looking for a versatile Software Developer who can operate both horizontally across multiple services. You&rsquo;ll play a key role in designing, building, and scaling services while contributing to infrastructure, backend, and frontend needs. The ideal candidate is flexible, thrives in dynamic environments, and can deliver high-quality solutions quickly.</div><p></p><div><br>
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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.</div>
Responsibilities:
<div><b>
Key Responsibilities</b></div><br>
<div></div><ul><li>
Design and implement MLOps pipelines for training, validation, deployment, and monitoring of machine learning models.</li><li>
Develop and maintain infrastructure for data versioning, model registries, and experiment tracking (e.g., MLflow, LakeFS, Airflow).</li><li>
Integrate orchestration tools (e.g., Kubeflow, Ray, Airflow) to support automated workflows and distributed training.</li><li>
 Collaborate with data scientists and software engineers to ensure seamless model handoff and deployment.</li><li>
Build APIs and SDKs to abstract infrastructure complexity and enable self-service model development.</li><li>
Implement monitoring and alerting systems for model drift, performance degradation, and system health.</li><li>
Support on-prem and cloud-based deployments (e.g., Kubernetes, HPC clusters, AWS).</li></ul>
Qualifications:
<div><b>
Required Qualifications</b></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or related field.</li><li>
3+ years of experience in software development, preferably in AI/ML infrastructure or data platforms.</li><li>
Proficiency in Python and/or TypeScript/JavaScript.</li><li>
Experience with backend frameworks (e.g., FastAPI, Flask, Node.js) and frontend libraries (e.g., React, Vue).</li><li>
Familiarity with cloud services (AWS preferred), containerization (Docker), and orchestration (Kubernetes).</li><li>
Strong understanding of RESTful APIs, CI/CD pipelines, and Git-based workflows.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Experience with distributed training frameworks (e.g., Ray, Ray Tune)</li><li>
Knowledge of model explainability, monitoring, and rollback strategies.</li><li>
Exposure to hybrid cloud/on-prem infrastructure and HPC environments.</li><li>
Prior work on internal platforms or developer tools.</li></ul><div>
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***</div></div>

R&D Engineer 5, Software

<div>Overview:
<div>
Keysight accelerates innovation to connect and secure the world. Our solutions span wireless communications, semiconductors, aerospace/defense, automotive, and beyond. We combine measurement science, simulation, and advanced AI to help engineers design, simulate, and validate the world&rsquo;s most advanced systems. The Keysight AI Labs is pioneering scientific machine learning and physics &amp; T&amp;M-informed AI to transform Keysight&rsquo;s software, simulation, and measurement products.</div><div><br>
We are seeking a highly experienced and technically versatile Senior Data Engineer to join our AI infrastructure team. This role is critical to enabling scalable, secure, and high-performance data pipelines that support machine learning workflows. You will work closely with MLOps engineers, data scientists, and software developers to design and implement robust data systems that power model training, evaluation, and deployment at scale.</div>
Responsibilities:
<div><b>
Key Responsibilities</b></div><ul><li>
Architect and maintain end to end data pipelines for structured and unstructured data using tools like Spark, Airflow, and LakeFS.</li></ul><ul><li>
Design and implement data versioning, lineage, and governance strategies to support reproducibility , reliability and compliance.</li><li>
Collaborate with MLOps and ML engineering teams to integrate data workflows into model training and deployment pipelines.</li><li>
Optimize data storage layers and retrieval across hybrid environments (on-prem and AWS), ensuring performance and cost-efficiency.</li><li>
Develop APIs and SDKs to enable self-service data access for internal ML teams.</li><li>
Lead data infrastructure design reviews and mentor junior engineers on best practices.</li><li>
Contribute to the development of internal tools for data curation, labeling, and augmentation.</li></ul>
Qualifications:
<div><b>
Required Qualifications</b></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li><li>
7+ years of experience in data engineering, with a strong focus on ML/AI infrastructure.</li><li>
Proficiency in Python, SQL, and distributed data processing frameworks (e.g., Spark, Dask).</li><li>
Experience with data orchestration tools (e.g., Airflow, Prefect) and version control systems (e.g., LakeFS, DVC).</li><li>
Deep understanding of data modeling, ETL/ELT pipelines, and data quality frameworks.</li><li>
Proficient with cloud platforms (AWS preferred) and containerized environments (Docker, Kubernetes).</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Experience supporting MLOps workflows and integrating with ML platforms (e.g., MLflow, Kubeflow).</li><li>
Knowledge of data privacy, security, and compliance in regulated environments.</li><li>
Strong communication skills and ability to work cross-functionally in a fast-paced R&amp;D environment.</li><li>
Advanced statistical and analytics background to provide transformation checks, quality checks, informative data profiling, etc.</li></ul><div></div><div><br>
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***</div></div>

Data Engineer, Expert

<div>Overview:
<div>
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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.</div><div></div><div><br>
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.</div><div></div><p><br>
The Business Process Sr Rep provides broad office support across Marketing and HR functions, assisting with logistics, event coordination, and documentation management. This role ensures smooth operations by supporting local teams and maintaining compliance with internal processes and external regulations.</p><h3 class="jobSectionHeader"><b><br>
</b></h3>
Responsibilities:
<p><b>
Business Process and Operations</b></p><ul><li>
Lead and implement strategic business workflows across departments, analyzing and resolving process issues to meet operational goals.</li><li>
Deliver research and recommendations to management, ensuring alignment with business objectives and compliance standards.</li><li>
Manage internal non-technical projects from planning to execution, including reporting and issue resolution.</li><li>
Provide sales analysis (forecasting, funnel tracking, order deviations) and collaborate with Sales, Channel, Order Management, and Verticals to support business functions.</li></ul><p></p><p><b><br>
Workplace Solutions</b></p><ul><li>
Act as Facility Manager site lead, coordinating with vendors and internal teams.</li><li>
Oversee financial controls including budgeting, invoicing, and forecasting.</li><li>
Manage physical assets and ensure health and safety compliance across the site.</li></ul><p></p><p><b><br>
Legal and Local Compliance</b></p><ul><li>
Liaise with licensing authorities and coordinate with internal/external contacts.</li><li>
Support accounts payable and supplier communications to ensure timely payments.</li><li>
Handle sourcing by maintaining vendor directories and procuring office supplies.</li><li>
Manage employee and visitor access systems, parking permissions, and pre-orientation for new or relocating staff.</li></ul><p></p><p><b><br>
Trade &amp; Logistics</b></p><ul><li>
Serve as GTL representative and GTM NC shipper for UAE shipments, managing documentation and logistics coordination.</li><li>
Support local logistics operations and escalate issues or violations.</li><li>
Advise on carrier selection and manage freight fleet negotiations.</li><li>
Oversee customs compliance: apply import codes, design procedures, support global customs teams, and act as point of contact for inquiries.</li><li>
Conduct external audits, validate customs documentation, and manage ATA Carnets and export declarations.</li><li>
Asset and Demo Management responsibilities included.</li></ul>
Qualifications:<br>
<div></div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s Degree or equivalent experience</li><li>
Typically 4-5 years relevant experience</li><li>
Excellent communication and interpersonal skills</li><li>
Open-minded, self-motivated, willing to help others</li><li>
Multi-tasking skill with attention to detail</li><li>
Ability to work well in a team and independently</li><li>
Flexibility to adjust work schedule to accommodate evening calls as needed</li><li>
Easily adapt to change and can cope with uncertainty</li></ul><div></div><div><br>
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***</div></div>

Business Process Sr Rep

Join Keysight Technologies and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Keysight Technologies

ABOUT_COMPANY

Senior Software Engineer – AI/ML Systems

R&D Engineer 5, Software

Data Engineer, Expert

Business Process Sr Rep