research software engineer

Deutsches Krebsforschungszentrum

<div><div>Kennziffer: 2026-0138
<ul><li>Heidelberg</li>
<li>Vollzeit</li>
<li>Medizinische Bildverarbeitung</li>
</ul></div>
<div>Das Deutsche Krebsforschungszentrum (DKFZ) ist eines der gr&ouml;&szlig;ten Krebsforschungszentren Europas. &bdquo;Forschen f&uuml;r ein Leben ohne Krebs&ldquo; ist unsere Mission und hierf&uuml;r arbeiten unsere Weltklassewissenschaftler:innen gemeinsam mit allen Mitarbeitenden.
Wir erforschen, wie Krebs entsteht, erfassen Krebsrisikofaktoren und suchen nach neuen Strategien, die verhindern, dass Menschen an Krebs erkranken. Wir entwickeln neue Methoden, mit denen Tumore pr&auml;ziser diagnostiziert und Krebspatient:innen erfolgreicher behandelt werden k&ouml;nnen. Jeder Beitrag z&auml;hlt &ndash; ob in der Forschung, in der Administration oder der Infrastruktur. Das macht unsere t&auml;gliche Arbeit so bedeutungsvoll und spannend.
Die Abteilung Medizinische Bildverarbeitung am DKFZ entwickelt innovative Methoden und Softwarel&ouml;sungen an der Schnittstelle von medizinischer Bildgebung, k&uuml;nstlicher Intelligenz, Cloud-Technologien und moderner Forschungsinfrastruktur.
Zur Verst&auml;rkung unseres Teams suchen wir ab September 2026 eine:n motivierte:n
</div><div>RACOON ist die bundesweite Bildgebungsplattform des Netzwerks Universit&auml;tsmedizin. Ziel des Projekts ist der Aufbau und Betrieb einer verteilten Forschungsinfrastruktur f&uuml;r medizinische Bilddaten, insbesondere f&uuml;r multizentrische Forschungsprojekte, klinische Studien, strukturierte Befundung, Annotation, KI-gest&uuml;tzte Bildanalyse und die standardisierte Nachnutzung radiologischer Daten. Die Infrastruktur verbindet lokale RACOON-Standorte an den deutschen Universit&auml;tskliniken mit zentralen Komponenten in RACOON-CENTRAL.
 
 
Im Zentrum Ihrer T&auml;tigkeit steht RACOON-AI, die zentrale KI-Plattform innerhalb von RACOON. RACOON-AI erm&ouml;glicht die Integration, Bereitstellung und Anwendung moderner KI-Methoden f&uuml;r medizinische Bilddaten im bundesweiten Netzwerk der Universit&auml;tskliniken. Die Plattform unterst&uuml;tzt die Translation innovativer Methoden aus dem Medical Image Computing in klinisch-wissenschaftliche Forschungsinfrastrukturen und tr&auml;gt damit wesentlich zur technischen Realisierung gro&szlig;er multizentrischer Forschungsprojekte und klinischer Studien bei.
 
 
RACOON-AI basiert auf dem Open-Source-Toolkit Kaapana, einer Kubernetes-basierten Plattform f&uuml;r medizinische Datenanalyse, KI-Workflows und f&ouml;derierte Analyse- und Lernszenarien. Sie arbeiten in einem interdisziplin&auml;ren Team an der Weiterentwicklung, dem Betrieb und der Unterst&uuml;tzung dieser Plattform im bundesweiten RACOON-Netzwerk.
 
 
Wichtiger Hinweis zum Profil der Stelle:
 
Diese Position ist keine reine Data-Science-, Modelltraining- oder Promotionsstelle. Der Schwerpunkt liegt auf robuster Softwareentwicklung, Plattformbetrieb, Methodenintegration, Support und technischer Koordination innerhalb einer produktiv genutzten, bundesweiten medizinischen Forschungsinfrastruktur.
 
Die Stelle richtet sich an Bewerber:innen, die Forschungssoftware in nutzbare Plattformkomponenten &uuml;berf&uuml;hren, containerisierte Dienste betreiben, KI-Methoden in reproduzierbare Workflows integrieren und technische Fragestellungen gemeinsam mit Universit&auml;tskliniken, Standortinformatikerinnen und Projektpartnern l&ouml;sen m&ouml;chten.
 
Verhandlungssichere Deutschkenntnisse mindestens auf C1-Niveau sind zwingend erforderlich, da ein wesentlicher Teil der T&auml;tigkeit aus deutschsprachiger Kommunikation, Support und technischer Abstimmung mit den RACOON-Standorten, Universit&auml;tskliniken und Projektpartnern besteht. 

<h3 class="jobSectionHeader">Ihre Aufgaben:</h3>
Sie unterst&uuml;tzen den technischen Betrieb und die Weiterentwicklung von RACOON-AI als zentraler KI-Plattform im RACOON-Netzwerk. Zu Ihren Aufgaben geh&ouml;ren insbesondere:<ul><li>
Weiterentwicklung von RACOON-AI durch Softwareentwicklung im Open-Source-Toolkit Kaapana</li><li>
Integration, Bereitstellung und Pflege von KI-Methoden, Analyse-Workflows und containerisierten Anwendungen</li><li>
Unterst&uuml;tzung der Methodentranslation aus dem Medical Image Computing in die RACOON-Infrastruktur an den Universit&auml;tskliniken</li><li>
Softwaretechnische Integration von Werkzeugen und Konzepten zur Verarbeitung multimodaler medizinischer Daten, einschlie&szlig;lich Bilddaten, strukturierter klinischer Daten und weiterer forschungsrelevanter Datenquellen innerhalb der RACOON-AI-Plattform</li><li>
Technische Unterst&uuml;tzung multizentrischer Forschungsprojekte, klinischer Studien und medizinischer Use Cases im RACOON-Netzwerk</li><li>
Betrieb, Wartung, Monitoring und Fehleranalyse der RACOON-AI-Instanzen, einschlie&szlig;lich zentraler Instanzen in RACOON-CENTRAL</li><li>
Second-Level-Support f&uuml;r IT-Ansprechpersonen an den Universit&auml;tskliniken und lokale IT-Teams bei Betrieb, Integration und Nutzung der Plattform</li><li>
Weiterentwicklung und Wartung von Plattformkomponenten im Umfeld von Kubernetes, Helm, Docker/Podman, Apache Airflow, OpenSearch, dcm4chee, MinIO/S3, Keycloak, Prometheus/Grafana und webbasierten Nutzeroberfl&auml;chen</li><li>
Erstellung und Pflege technischer Dokumentation, Betriebsanleitungen und Support-Materialien</li><li>
Teilnahme an Projektmeetings, technischen Abstimmungen und Workshops</li><li>
Pr&auml;sentation der Plattform bei Veranstaltungen, Vernetzungsformaten und Projekttreffen</li><li>
Mitwirkung an Reporting, Planung und technischer Koordination innerhalb des Projekts</li></ul></div>
<div><h3 class="jobSectionHeader">Ihr Profil:</h3>
Sie passen besonders gut zu uns, wenn Sie Freude an robuster Forschungssoftware, verteilten Infrastrukturen und der Zusammenarbeit mit klinischen, wissenschaftlichen und technischen Partnern haben.
Zwingend erforderlich sind:<ul><li>
Abgeschlossenes Masterstudium in Informatik, Medizininformatik, Data Science, Mathematik, Physik, Ingenieurwissenschaften oder einem verwandten wissenschaftlich-technischen Fachgebiet</li><li>
Praktische Erfahrung in Softwareentwicklung, Forschungssoftware, Plattformbetrieb, DevOps oder medizinischer IT</li><li>
Erfahrung in mindestens einer der Programmiersprachen Python oder JavaScript/TypeScript</li><li>
Praktische Erfahrung mit Linux sowie modernen Container- und Cloud-Technologien, insbesondere Docker/Podman, OCI-Containern, Kubernetes oder Helm</li><li>
F&auml;higkeit, technische Probleme strukturiert zu analysieren, nachvollziehbar zu dokumentieren und gemeinsam mit internen und externen Partnern zu l&ouml;sen</li><li>
Bereitschaft zur technischen Kommunikation, zum Support und zur Abstimmung mit Universit&auml;tskliniken, IT-Verantwortlichen an den jeweiligen Standorten und Projektpartnern</li><li>
Sorgf&auml;ltige, zuverl&auml;ssige und strukturierte Arbeitsweise</li><li>
Ausgepr&auml;gte Teamf&auml;higkeit in einem interdisziplin&auml;ren, standort&uuml;bergreifenden Projektumfeld</li><li>
Verhandlungssichere Deutschkenntnisse, mindestens auf C1-Niveau</li><li>
Sehr gute Englischkenntnisse f&uuml;r die Arbeit in einem internationalen wissenschaftlichen und Open-Source-Umfeld</li></ul>
Von Vorteil sind:<ul><li>
Erfahrung mit Apache Airflow, OpenSearch, dcm4chee, MinIO/S3, Keycloak, Prometheus, Grafana oder vergleichbaren Infrastrukturkomponenten</li><li>
Erfahrung mit webbasierten UI-Frameworks wie Vue, React oder Svelte</li><li>
Kenntnisse in CI/CD, GitOps, Monitoring, Logging, REST-APIs oder verteilten Plattformen</li><li>
Kenntnisse im Betrieb verteilter IT-Infrastrukturen, insbesondere in den Bereichen Netzwerkkonfiguration, DNS, TLS-/SSL-Zertifikate, Reverse Proxys, Firewalls, VPN, Proxy-Setups oder Zugriffskontrolle in klinischen bzw. institutionellen IT-Umgebungen</li><li>
Erfahrung mit DICOM, PACS-Systemen, FHIR, medizinischen Bilddaten oder klinischen Forschungsdaten</li><li>
Erfahrung in Machine Learning, Image Computing, High-Performance Computing oder f&ouml;derierten Analyse- und Lernszenarien</li><li>
Erfahrung mit multizentrischen Forschungsprojekten, klinischen Studien oder medizinischen Forschungsdateninfrastrukturen</li><li>
Erfahrung in Open-Source-Softwareentwicklung, technischer Dokumentation, Support-Prozessen oder Schulung technischer Anwender:innen</li></ul><h3 class="jobSectionHeader"> 
Das macht die Position besonders:</h3><ul><li>
Mitarbeit an einer bundesweiten Forschungsinfrastruktur mit hoher Relevanz f&uuml;r medizinische Bildgebung, KI und datengetriebene klinische Forschung</li><li>
Arbeit an RACOON-AI als zentraler KI-Plattform f&uuml;r multizentrische Forschungsprojekte und klinische Studien</li><li>
M&ouml;glichkeit, innovative Methoden aus dem Medical Image Computing in die Infrastruktur deutscher Universit&auml;tskliniken zu bringen</li><li>
Arbeit an einer modernen, containerisierten Open-Source-Plattform auf Basis von Kaapana</li><li>
Ein interdisziplin&auml;res Umfeld mit Expert:innen aus Informatik, medizinischer Bildgebung, KI, Radiologie und Forschungsdatenmanagement</li><li>
Enge Zusammenarbeit mit Universit&auml;tskliniken, nationalen Projektpartnern und technischen Teams im RACOON-Netzwerk</li><li>
Gestaltungsspielraum bei der Weiterentwicklung einer produktiv eingesetzten Forschungsplattform</li><li>
Ein dynamisches Arbeitsumfeld an der Schnittstelle von Forschung, Softwareentwicklung, Plattformbetrieb, Support und klinischer Anwendung</li></ul><h3 class="jobSectionHeader"> 
Bewerbungsverfahren:</h3>
Interessierte und qualifizierte Bewerber:innen reichen bitte mindestens ein Anschreiben, einen Lebenslauf sowie relevante Zeugnisse, Abschl&uuml;sse und Nachweise ein.
Bitte f&uuml;gen Sie Ihrer Bewerbung zus&auml;tzlich ein kurzes technisches Motivationsstatement von maximal einer Seite bei. Gehen Sie darin bitte konkret auf folgende Punkte ein:<ul><li>
Ihre praktische Erfahrung mit Softwareentwicklung, Linux, Containerisierung, Kubernetes, DevOps oder Plattformbetrieb</li><li>
Ihre Erfahrung in technischer Kommunikation, Support, Dokumentation oder Abstimmung mit externen Partnern</li><li>
Ihr Interesse an medizinischer Bildgebung, Forschungsinfrastrukturen, KI-Methodentranslation oder multizentrischen klinischen Studien</li></ul>
Bewerbungen ohne erkennbaren Bezug zu diesen Punkten k&ouml;nnen im Auswahlverfahren nur eingeschr&auml;nkt ber&uuml;cksichtigt werden.</div>
<div><h3 class="jobSectionHeader">Unser Angebot:</h3>
<div><ul><li>Hervorragende Rahmenbedingungen: modernste state-of-the-art Infrastruktur und M&ouml;glichkeit zum internationalen Austausch auf Spitzenniveau
</li><li>30 Tage Urlaub
</li><li>Flexible Arbeitszeiten
</li><li>Verg&uuml;tung nach TV-L inkl. betrieblicher Altersvorsorge und verm&ouml;genswirksamer Leistungen
</li><li>M&ouml;glichkeit zur Teilzeitarbeit
</li><li>Familienfreundliches Arbeitsumfeld
</li><li>Nachhaltig zur Arbeit: Verg&uuml;nstigtes Deutschland-Jobticket
</li><li>Entfalten Sie Ihr volles Potenzial: gezielte Angebote f&uuml;r Ihre pers&ouml;nliche Entwicklung f&ouml;rdern Ihre Talente
</li><li>Unser betriebliches Gesundheitsmanagement bietet ein ganzheitliches Angebot f&uuml;r Ihr Wohlbefinden
</li></ul></div></div><div><h3 class="jobSectionHeader">Sie sind interessiert?</h3><div>
Dann werden auch Sie Teil des DKFZ und tragen gemeinsam mit uns zu einem Leben ohne Krebs bei!</div>
<div></div><div><div>Ihre Ansprechperson: 
Dr. Peter Neher 
Telefon: +49 (0)6221/42-2330</div>
</div> <div><div>Befristung: Die Stelle ist zun&auml;chst auf 1 Jahr befristet. Eine Verl&auml;ngerung ist m&ouml;glich.</div>
<div>Bewerbungsschluss: 23.07.2026</div> 
<div>
 
Bewerbungen per E-Mail k&ouml;nnen leider nicht angenommen werden.
 
Bitte beachten Sie auch, dass wir per Post eingereichte Bewerbungen nicht zur&uuml;ckschicken k&ouml;nnen.
</div>
<div>Wir sind davon &uuml;berzeugt: Ein innovatives Forschungs- und Arbeitsumfeld lebt von der Vielfalt seiner Besch&auml;ftigten. Daher freuen wir uns &uuml;ber Bewerbungen von talentierten Menschen, unabh&auml;ngig von Geschlecht, kulturellem Hintergrund, Nationalit&auml;t, ethnischer Zugeh&ouml;rigkeit, sexueller Identit&auml;t, k&ouml;rperlichen F&auml;higkeiten, Religion und Alter. Menschen mit Schwerbehinderung werden bei gleicher Eignung bevorzugt.</div>
<div></div><div><div>Hinweis: Wir unterliegen den Vorschriften des Infektionsschutzgesetzes (IfSG). Deshalb m&uuml;ssen alle unsere Besch&auml;ftigten einen Immunit&auml;tsnachweis gegen Masern vorlegen.</div></div></div></div></div>

Softwareentwickler:in / Research Software Engineer (m/w/d) für das Projekt Radiological Cooperative Network (RACOON)

University of Liverpool

Hours of work: Full-time.
 Tenure: Fixed term for 2 years in the first instance.
 Hybrid Working: Minimum requirement of 40% on Campus, with 60% considered desirable where possible
 
An exciting opportunity for a Research Software Engineer role is available as part of the project team for AIchemy, a new partnership between the University of Liverpool, Imperial College London, and a large consortium of academic and industrial partners. AIchemy has been funded to promote the development of novel AI methods and to transform the uptake of AI in the chemistry community. The consortium brings together experts across AI and both experimental and computational chemistry. This Hub will promote connectivity of the broader community, training, and networking, as well as funding state-of-the-art research.
 
Based in the Cooper Group at the University of Liverpool’s Materials Innovation Factory (MIF), you will lead the development of Opsight (opsightlab.com), a cloud-native web platform for agentic, hypothesis-driven scientific optimisation. The platform connects large language model (LLM) reasoning agents, Bayesian optimisation, and robotic laboratory hardware in a closed-loop workflow, enabling autonomous or human-in-the-loop discovery campaigns across chemistry and materials science. Working closely with the team that develops the core optimisation algorithms, you will translate research advances into polished product features, maintain and extend the platform’s infrastructure, and ensure the codebase is well-tested, robust, and deployable.
 This post is not a research role: you will be the person who keeps the platform running, growing, and robust. The position would suit a software engineer who enjoys working at the interface of cutting-edge AI research and production engineering, and candidates from both academic and industry software engineering backgrounds are encouraged to apply.
 
Our commitment to Equality, Diversity and Inclusion
 
We are committed to enhancing a workforce as diverse as our community and particularly encourage applicants who are of minoritised genders and ethnic backgrounds, living with a disability, and/or are members of the LGBTQIA+ community.

Software Engineer: AI Materials Discovery Platform

Research Engineer, Computer Vision

Fluid Codes

<div>
 
 
 About Fluid Codes:
 
 
 
 Fluid Codes is the APEX Channel Partner of ANSYS (part of Synopsys), authorized with exclusive rights to distribute and provide support for ANSYS Engineering Simulation Solutions in the Middle East and North Africa. (fluidcodes.com)
 
 
 Ansys is the global leader in engineering simulation, helping the world&rsquo;s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.
 
 
 
 Job Summary:
 
 
 
 We are seeking a dynamic Sales Engineer to drive the adoption of Ansys Simulation Software in Egypt across Academia, Startups, and Commercial Accounts (excluding Aerospace &amp; Defence &amp; related manufacturing). The ideal candidate will have 4-8 years of experience in B2B sales, preferably in software solutions or engineering simulation. Experience with Ansys or competitor simulation software (such as Siemens, Dassault Systems, Altair, or COMSOL) is highly desirable.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and execute sales strategies to drive Ansys software adoption within universities, startups, and commercial sectors.
 </li>
 <li>
 Engage with professors, researchers, and university administration to promote Ansys solutions for academic and applied research purposes.
 </li>
 <li>
 Identify and support startup incubators, accelerators, and innovation hubs, positioning Ansys as a critical simulation tool for product development.
 </li>
 <li>
 Target key commercial sectors such as Manufacturing, Energy, Construction, and EPC to drive revenue growth.
 </li>
 <li>
 Collaborate with pre-sales and technical teams to conduct software demonstrations and address customer needs.
 </li>
 <li>
 Manage the entire sales cycle, from lead generation and qualification to deal closure and post-sales account management.
 </li>
 <li>
 Monitor government and institutional funding programs related to research, education, and industry innovation for strategic sales opportunities.
 </li>
 <li>
 Maintain accurate sales forecasting and pipeline tracking using CRM tools (e.g., Salesforce).
 </li>
 </ul>
 
 
 Key Requirements:
 
 
 <ul>
 <li>
 3-6 years of B2B sales experience in Academia or Commercial sectors.
 </li>
 <li>
 Experience selling engineering simulation software (preferably Ansys, Siemens, Dassault Systems, Altair, COMSOL, or related solutions).
 </li>
 <li>
 Strong understanding of simulation applications in industries like Manufacturing, Construction, Energy, and Research.
 </li>
 <li>
 Proven track record of meeting or exceeding sales targets in a competitive environment.
 </li>
 <li>
 Ability to build relationships with university administrators, startup founders, and industry leaders.
 </li>
 <li>
 Strong communication and presentation skills in both English and Arabic.
 </li>
 <li>
 Willingness to travel as required.
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Engineering or Science degree in Mechanical, Electrical, Electronics, or related fields.
 </li>
 <li>
 Experience working with academic licensing models and research funding programs.
 </li>
 <li>
 Familiarity with digital transformation trends in Manufacturing, Energy, and Construction.
 </li>
 <li>
 Strong network within universities, startups, and commercial enterprises in Egypt.
 </li>
 </ul>
 
 
 What We Offer:
 
 
 <ul>
 <li>
 Competitive salary and commission structure.
 </li>
 <li>
 Opportunity to work with cutting-edge engineering simulation technology.
 </li>
 <li>
 Engagement with leading research and innovation hubs in Egypt.
 </li>
 <li>
 A dynamic and growth-oriented work environment.
 </li>
 </ul>
 
 Interested candidates who meet the above criteria are encouraged to apply!
 
</div>

Sales Engineer – Ansys Simulation Software

<div>Arm's Vulnerability Research Tooling Team is looking for a Principal Software Engineer to help build AI-enabled tooling for hardware security issue identification.
You will help design, build, and evolve systems that capture hardware security expertise and turn it into reusable datasets, analysis workflows, evaluation methods, and tooling.
This role sits at the intersection of software engineering, AI tooling, data engineering, and security. The focus is to compose software and AI solutions that help detect security concerns across architectural specifications, RTL, firmware interfaces, software models, and hardware-software design assumptions.
Job Overview:
We are seeking a Principal Software Engineer to play a meaningful role in establishing a new AI-enabled capability for hardware security issue identification.
Working closely with hardware security experts, software security engineers, research collaborators, and platform teams, the role is responsible for turning expert review knowledge into scalable software systems. You will help define how hardware security expertise is captured, structured, evaluated, and applied through AI-assisted analysis workflows.
This is not a traditional hardware validation or verification role. You do not need to be a hardware verification specialist. However, you should be comfortable building systems that help experts reason across architectural requirements, RTL, firmware connections, software representations, and hardware-software build assumptions.
As a Principal Engineer, you will be expected to create structure in an emerging area, influence technical direction, and help mature early prototypes into durable internal capabilities.
Responsibilities:<ul><li>
Lead the design and delivery of AI-enabled tooling for hardware security issue identification across specifications, RTL, firmware interfaces, software models, and hardware-software boundaries.</li><li>
Develop analysis workflows and services that combine AI, retrieval, static analysis, automation, and human review to produce credible security findings.</li><li>
Partner across hardware engineering, software security, research, fuzzing, threat modelling, and platform teams to ensure the tooling is practical, technically grounded, and aligned with engineering workflows.</li><li>
Define evaluation approaches for AI-assisted security analysis, including benchmark tasks, ground truth, confidence measures, false-positive handling, and evidence quality.</li><li>
Contribute to the long-term roadmap for hardware security AI tooling, including prototype evolution, productionisation, platform integration, and future research directions.</li></ul>
Required Skills and Experience :<ul><li>
Significant experience designing and building software systems using modern backend, data, platform, or developer tooling engineering practices.</li><li>
Experience building AI-enabled tooling, data-heavy engineering systems, analysis platforms, developer tools, or automation for complex technical domains.</li><li>
Practical understanding of LLM-based systems, including retrieval, embeddings, context engineering, structured outputs, tool/function calling, workflow orchestration, and AI-assisted analysis patterns.</li><li>
Familiarity with sophisticated AI workflow techniques such as agentic workflows, task decomposition, evaluator/critic loops, human-in-the-loop review, context or memory systems, and traceable evidence generation</li><li>
Ability to work with domain experts, extract tacit knowledge, and translate it into structured data, software workflows, evaluation criteria, and maintainable tooling.</li><li>
Ability to influence technical direction and collaborate effectively across security, software, hardware, research, and platform teams.</li></ul>
&ldquo;Nice To Have&rdquo; Skills and Experience :<ul><li>
Exposure to hardware architecture, RTL, firmware, SoC design, CPU/GPU systems, or hardware/software interfaces.</li><li>
Exposure to hardware security, platform security, vulnerability research, secure development, or threat modelling.</li><li>
Experience with static analysis, symbolic analysis, formal methods, or other automated techniques.</li><li>
Experience building datasets, benchmarks, evaluation harnesses, or test corpora for AI-assisted analysis.</li><li>
Familiarity with cloud, containerized development, infrastructure-as-code, CI/CD, observability, or internal engineering platforms.</li><li>
Experience collaborating with research teams or translating research ideas into production engineering workflows.</li></ul>
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm&rsquo;s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team&rsquo;s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don&rsquo;t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
<div>Salary Range:
&pound;126,200 <ul><li>&pound;170,800</li></ul> per year</div></div>

Principal Software Security Engineer

Arrow Electronics

<div>
 
 
 Position:
 
 
 
 
 Senior Automotive Software Engineer (Avelabs LLC Egypt)
 
 
 
 
 Job Description:
 
 
 
 
 Avelabs (an Arrow Company), a leading automotive software engineering services provider, is seeking a skilled and motivated Automotive Software Engineer with expertise in AUTOSAR integration to join our dynamic engineering team. The ideal candidate will have extensive experience in AUTOSAR BSW along with a solid understanding of automotive standards like ISO26262 and ASPICE.
 
 
 
 
 Job Description
 
 
 
 
 <ul>
 <li>
 Requirements analysis and embedded software design for the automotive industry.
 </li>
 <li>
 Support and develop complete software architecture.
 </li>
 <li>
 Integrate different AUTOSAR platforms with end customers' applications.
 </li>
 <li>
 Configure embedded basic software components.
 </li>
 <li>
 Develop application software components.
 </li>
 <li>
 Responsible for technical communication with the customers.
 </li>
 <li>
 Provide consultancy and support to customers.
 </li>
 <li>
 Coach other team members and prepare training if needed.
 </li>
 <li>
 Enhance the engineering process for higher efficiency and quality.
 </li>
 <li>
 Propose and work on innovative solutions for the future of automotive technologies.
 </li>
 <li>
 Maintain Avelabs quality standards for project's deliverables.
 </li>
 <li>
 Work in a challenging environment with a real mixed nature of research and development.
 </li>
 <li>
 Set and support together with the team an open and innovative environment.
 
 
 </li>
 </ul>
 
 
 Job Requirements
 
 
 
 
 <ul>
 <li>
 3+ years of experience in automotive embedded systems.
 </li>
 <li>
 University degree in Computers or Electronics Engineering.
 </li>
 <li>
 Embedded software architecture design experience.
 </li>
 <li>
 AUTOSAR configuration and integration experience.
 </li>
 <li>
 Excellent embedded C programming skills.
 </li>
 <li>
 Deep knowledge of embedded systems and microcontrollers.
 </li>
 <li>
 Knowledge of communication protocols widely used in the automotive industry, e.g., CAN, LIN, FlexRay.
 </li>
 <li>
 Multicore solutions on embedded systems platforms is a plus.
 </li>
 <li>
 Excellent command of English (written and spoken).
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Maadi Technology Park)
 
 
 
 
 Time Type:
 
 
 
 
 Full time
 
 
 
 
 Job Category:
 
 
 
 
 Engineering Services
</div>

Senior Automotive Software Engineer (Avelabs LLC Egypt)

Ipsos

<div>Junior Software Engineer &ndash; Audience Measurement
Make Your Mark at Ipsos
Ipsos is recruiting for a Junior Software Engineer. Ideally you will have a background and interest in audio technology, digital signal processing, someone familiar with common signal processing techniques and experience of real-world audio processing issues.
This role sits in Ipsos&rsquo; CrossMedia &ndash; Audience Measurement team working on providing accurate measurement of Media consumption and advertising. Central to this is our audio recognition technology, which is under continuous development and optimisation.
What is in it for you?
This is a fantastic opportunity to grow your skills under the supervision of experienced professionals, supporting a technology deployed in multiple countries.
As a Junior Software Engineer, you will help develop and maintain Ipsos&rsquo;s audio recognition technology. You will help to assess and improve the performance of our patented audio recognition algorithms, and to adapt and optimise them for new scenarios.
The Role:
<ul><li>Exploring and assessing potential enhancements to our audio recognition technology.
</li><li>Diagnosing real-world limitations, and devising potential work-arounds.
</li><li>Exploring new solutions to upcoming product goals.
</li><li>Collaborating with cross-functional teams to develop, test and deliver solutions that meet client requirements.
</li><li>Collaborate with the team in regular design reviews, sharing your insights and learning from experienced scientists to develop and maintain innovative solutions.
</li><li>Researching and learning new technologies and techniques to stay up-to-date with industry trends.
</li>Participating in brainstorming sessions to elicit innovative ideas and solutions. 
<li>
</li></ul>About you:
The successful candidate will bring:
<ul><li>Proficiency in at least one relevant programming language (ideally C/C++, Matlab or Python)
</li><li>A good technical degree (or higher) in Physics, Maths, Engineering or Computer Science.
</li><li>Familiarity with common signal processing techniques.
</li><li>Experience of real-world audio processing issues
</li><li>Experience of writing deployable and maintainable software.
</li><li>Knowledge of issue/project tracking software, e.g. Jira.
</li><li>A strong interest in algorithms and a desire to continually improve those algorithms.
</li><li>The curiosity and determination to understand technical systems from first principles.
</li><li>Exemplary communications skills - an ability to produce clear, informative documentation.
</li><li>An enthusiastic attitude with a &lsquo;gets things done&rsquo; mentality.
</li><li>The ability to communicate effectively with technical and non-technical colleagues.
</li><li>Excellent problem-solving skills, including diagnosing issues within complex systems.
</li><li>The willingness to rapidly pick up new technologies.
</li>The ability to adapt schedules against changing priorities. 
<li>
</li></ul>Benefits:
We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range health &amp; wellbeing, financial benefits and professional development opportunities.
We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.
We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process.
Your application will be reviewed by someone from our Talent Team who will be in touch either way to let you know the outcome.</div>

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