
Neo4j · Malmö
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI syste...
Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent
applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most
comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem
trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that
matter.
Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We
deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to
find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how
organizations leverage their data to innovate and stay competitive.
The Team
The Site Reliability Engineering team’s mission is to improve the reliability of Neo4j’s DBaaS product: Neo4j Aura. Operating at a
global scale across all three major cloud providers, Aura runs hundreds of Kubernetes clusters and hosts thousands of Neo4j
instances in production at any given time.
We’re reshaping what SRE means at Neo4j Aura—and we want you to be part of that journey.
Rather than firefighting or chasing alerts, we’re helping teams design for reliability from day one. That means building the
tools, practices, and culture that embed SRE principles at the heart of how Aura operates. You’ll be joining a team focused on
long-term resilience, engineering excellence, and meaningful collaboration with product teams.
The Role
instances. From internal tools that surface clear insights to canaries that support safe rollouts, you’ll focus on automation
that elevates reliability engineering.
practices—making operations predictable, scalable, and repeatable.
to blameless reviews, you’ll help ensure teams respond with confidence and learn with clarity.
data-driven priority across engineering.
early and resolve them quickly.
WE'RE INTERESTED IN HEARING FROM ENGINEERS WITH DEEP EXPERIENCE IN SOME OF THE FOLLOWING AREAS
maintainability. Strong software skills in other languages, like Python, are also welcome.
reliability through engineering.
objectives.
#Li-Hybrid
Why Join Neo4j?
Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry
globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and
analytics. Below are just a few exciting facts about Neo4j.
revenue (ARR), doubling its ARR over the past three years.
(formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn.
This puts Neo4j among the most well-funded database companies in history.
Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
customer success.
community and ecosystem is built around the platform.
Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the
qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity
to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.
One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential
and have a positive, career-defining experience. We look forward to receiving your application.
Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put
our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:
(we)-[:VALUE]->(relationships)
(we)-[:FOCUS_ON]->(userSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments)
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process
to understand how we will handle the personal data that you provide.
More information at www.neo4j.com.
©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j®
AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.
This is a career-changing opportunity to work alongside world-class engineers and scientists on a mission to reimagine what machines can do. You will help us productionize cutting-edge research and integrate it with key partners. Your work will shape how intelligent machines learn, adapt, and act in the physical world. We are looking for the right person with a solid foundation, who finds learning fun and embraces deep, challenging work. Our Strategic Engagements team focuses on transforming research into products. We work in close collaboration with our partners and integrate the Intui model with their systems. This role involves tackling integration hurdles to bring our model to our partners, ensuring it supports both research and pilots effectively. As a Strategic Engagements Software Engineer, you will bridge our core AI research with client systems. You will adapt, productionize, and stabilize advanced algorithms for robust operation on diverse hardware - from embedded systems to complex platforms. This requires: Deep systems expertise to optimize high-performance native code. A hands-on approach to client deployment and resilient interface design. A focus on flexibility, creating configurable systems under strict performance constraints. What You’ll Do Translating research into a successful product hinges on several core attributes: reliability, portability, and flexibility. Additionally, success requires efficiency, developer experience, observability, and configurability. The role requires comprehensive DevOps responsibility across the entire software development lifecycle: Development: Coding, quality assurance, and testing. Infrastructure: Building CI/CD pipelines and release management. Operations: Server maintenance, system monitoring, and site reliability. What you bring Technical Stack: Strong proficiency in C++; comfortable with Python and TypeScript for integration and tooling. Systems Fluency: Expertise in Linux environments with a focus on memory management, concurrency, and performance. Engineering Mindset: You don't just write code; you design for testability and maintainability. Growth Orientation: A strong desire to adapt alongside an evolving tech stack. Bonus Signals Proficient in establishing build infrastructure. Demonstrated experience with Continuous Integration (CI). Familiarity with container technologies. Experience with Rust. Experience with CUDA. Who You Are Systems Thinker: You translate deep technical understanding into effective software solutions. Proactive Owner: You take full accountability for projects from inception to completion. Complexity Arbiter: You have a nuanced understanding of when to embrace or avoid technical complexity. Collaborative Peer: You prioritize sharing insights and ideas over territorial ownership. Builder: Your primary motivation is creating lasting, fundamental capabilities rather than superficial demos. Please note that we are strictly seeking direct individual contributors and do not work with consultants or third-party agencies.
Do you want to work with the latest technologies and highly skilled colleagues at a world‑leading company? If yes, you might be exactly who we're looking for! We're searching for a skilled Embedded Software Engineer with strong C/C++ expertise to join our Deep Learning Platform Team in Lund, Sweden. Who is your future team? You will become part of our Deep Learning (DL) Platform Team-an enthusiastic group working at the heart of Axis' DL offerings. We develop key components used across Axis products, with many touchpoints both internally and externally. Our team focuses on edge devices and their DL inference capabilities, creating solutions that make a real impact in our products. What you'll do here as an Embedded Software Engineer In this role, you'll work on technology that sits right at the core of Axis video products. You'll be deeply involved in evaluating and integrating deep learning IPs and accelerators. You'll help shape and develop our Deep Learning Runtime API and services, ensuring that application developers have a solid and efficient platform to build on. A key part of your work will be optimizing code for performance, memory usage and reliability, always striving to get the most out of our hardware. Throughout all of this, you'll collaborate closely with internal teams and external partners, contributing to a platform used across our entire product portfolio. Who are we looking for? You enjoy diving deep into embedded systems, working hands‑on with drivers, frameworks, debugging, optimization, and improving platform quality. You thrive when solving complex technical challenges and value teamwork just as much as autonomy. You bring energy, curiosity, and a willingness to continuously grow. We'd love to hear that you have: A master's degree in computer science, physics, mathematics, electrical engineering, or similar 3-5+ years of experience in C/C++ development, embedded systems, and Linux C APIs A strong interest in deep‑learning-based solutions and hardware‑close programming Experience with Edge DL platforms and DL frameworks (a plus, not a requirement) Familiarity with Git, Gerrit, and Jenkins This role is based on site at Axis HQ in Lund, Sweden. What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle. To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. Vacation is important! At Axis we value work-life balance and that means that during summer many of us are on a well-deserved vacation. During this period, you can expect some delay in our response. We will review applications in August and get back to you as soon as possible. In case of questions, please reach out to recruiting manager Lisa Sjungare at phone +46 46 272 1800 or at .
Lunds universitet grundades 1666 och rankas återkommande som ett av världens främsta lärosäten. Här finns omkring 46 000 studenter och 8 500 medarbetare i Lund, Helsingborg och Malmö. Vi förenas i vår strävan att förstå, förklara och förbättra vår värld och människors villkor. Ditt team Du kommer att ingå i gruppen Scientific Data inom den tekniska divisionen – ett internationellt team som ansvarar för hela kedjan från datainsamling med toppmoderna detektorsystem till utveckling och support av mjukvaruprojekt för dataanalys och visualisering vid strålrörens experimentstationer. De detektorer som används för datainsamling vid våra strålrör är en central del av MAX IV:s vetenskapliga infrastruktur och kräver specialiserad och dedikerad support. Inom detta område söker vi nu en Detector Software Engineer som ska arbeta med integration, driftsättning och operativt stöd av detektorsystem samt vidareutveckling och underhåll av tillhörande DAQ-mjukvara (Data Acquisition). Den huvudsakliga uppgiften för den framgångsrika kandidaten är att säkerställa optimal drift av kommersiellt tillgängliga detektorer, både positionskänsliga och energiupplösande, med särskilt fokus på megapixelbaserade fotonräknande detektorer och sCMOS-kameror. Arbetet omfattar hantering av höga datahastigheter och stora datavolymer med hjälp av moderna mjukvaruramverk och beräkningsinfrastruktur, integrerade i högpresterande och hållbara tjänster. Du kommer att arbeta nära forskare vid strålrören för att förstå deras behov av detektorsystem och säkerställa bästa möjliga detektorprestanda för olika experimentella tekniker. Rollen innefattar även bidrag till det övergripande mjukvaruekosystemet för datainsamling inom MAX IV:s edge cloud-miljö. Det finns också möjlighet att etablera samarbeten med andra forskningsinstitut som bedriver utveckling av detektorer för att vid behov kunna implementera skräddarsydda lösningar för MAX IV:s strålrör. Vi uppmuntrar aktivt medverkan i internationella konferenser och workshops genom publikationer och presentationer. Dina huvudsakliga arbetsuppgifter Integrera detektorer i styr- och DAQ-system (Data Acquisition) samt ge stöd för dessa system i drift genom att kombinera förståelse för detektorernas grundläggande funktionsprinciper med förmågan att leverera robusta programvarulösningar för vetenskapliga tillämpningar Bidra till utvecklingen av det underliggande generella DAQ-systemet Förstå strålrörens behov av detektorer och ge rådgivning vid upphandling av detektorsystem Samarbeta med kommersiella och icke-kommersiella leverantörer av detektorer, felsöka nya och befintliga detektorer samt följa upp korrigeringar, uppdateringar och förbättringar med leverantörerna Genomföra Site Acceptance Tests (SAT) och andra prestanda- och karakteriseringstester av olika typer av detektorer, exempelvis fotonräknande, laddningsintegrerande och energiupplösande detektorer Ta fram och underhålla dokumentation för support, drift och förvaltning av installerade detektorsystem För att lyckas i rollen behöver du ha följande kvalifikationer Examen inom fysik, teknik, datavetenskap eller motsvarande utbildning, erfarenhet eller kompetens. Erfarenhet av att arbeta med detektorer för vetenskapliga tillämpningar (gärna fotondetektorer) samt förståelse för deras funktionsprinciper. Dokumenterad erfarenhet av mjukvaruutveckling och dataanalys i ett högnivåspråk (exempelvis Python, C++ eller Rust) i Linuxmiljö. God kommunikationsförmåga och förmåga att samarbeta effektivt med medarbetare på alla nivåer, både inom och utanför MAX IV. Förmåga att arbeta som en del av ett tvärvetenskapligt team. Följande erfarenheter ses som meriterande Forskarutbildning (doktorsexamen) inom relevant område. Erfarenhet av kommersiella röntgendetektorsystem som vanligtvis används vid synkrotronanläggningars Strålrör. Erfarenhet av utveckling av detektorer för synkrotrontillämpningar. Erfarenhet av högpresterande och/eller distribuerad databehandling samt nätverksteknik. Erfarenhet av analys av data i HDF5-format. Arbetslivserfarenhet från synkrotronanläggningar eller andra större experimentella forskningsanläggningar. Kunskap om Continuous Integration och Continuous Deployment (CI/CD). Erfarenhet av containerteknik och Kubernetes för driftsättning av mjukvara och tjänster. Erfarenhet av arbete med FPGA:er med hjälp av HLS (exempelvis Vivado) och/eller OpenCL. Erfarenhet av Timepix3 ASIC. Som person Har du god kommunikativ förmåga och lätt för att samarbeta med kollegor på alla nivåer, både inom och utanför organisationen. Är du självgående och har ett starkt intresse för att lära dig nya teknologier. Tar du initiativ och driver problemlösning framåt. Är du kreativ, flexibel och resultatinriktad. Trivs du med att samarbeta och arbeta tillsammans med andra i tvärvetenskapliga team. Mer information För mer information, besök gärna: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se/about-us/careers/compensation-benefits/ Observera att provanställning och beredskapstjänstgöring kan komma att tillämpas. Notera även att annonsen är publicerad under en längre period eftersom rekryteringsprocessen sträcker sig över sommaren. For ad in English: https://lu.varbi.com/en/what:job/jobID:941937/ MAX IV är ett nationellt forskningslaboratorium med Lunds universitet som värduniversitet. MAX IV tillhandahåller toppmodern utrustning för forskning inom områden som teknik, fysik, strukturbiologi, kemi och nanoteknik. MAX IV kommer att ta emot upp till 2 000 nationella och internationella forskare årligen, vilka genomför banbrytande experiment inom material- och biovetenskap med hjälp av det briljanta röntgenljuset. Vi undanber oss alla kontakter från annonsförsäljare, rekryterings- och bemanningsföretag på grund av statliga upphandlingsregler.