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Position Title: Full Stack Senior Software Engineer Reports to: Engineering Manager Location: Remote (UK) Contract type: Permanent About BibliU Sunday Times Tech 100 | Top 10 UK EdTech Company BibliU is an award-winning education company that provides Day 1 access to affordable course materials, making learning more equitable and effective, in addition to providing campus store management. We partner with over 3,000 educational publishers, including Pearson, Oxford University Press, and Wiley, to offer a wide range of high-quality content to students. Our platform provides rich engagement data to academics and allows students to find information faster. We have disrupted the textbook industry by reducing the cost of education significantly and increasing publisher sales. Founded in late-2015, we are a rapidly growing company transforming the way students and educators access and interact with learning materials. Our revenue has grown rapidly, with 150% YoY growth in the last three years. Last year, we raised $21m in a Series B funding round led by Nesta Impact Investments, with participation from Guinness Asset Management, Stonehage Fleming, and Oxford Sciences Enterprises. In late 2023, we acquired Texas Book Company (now ‘BibliU Campus’) in order to deliver a more complete solution of products and services to higher ed students, faculty and administrators across the US! Since the addition of BibliU Campus, we have seen a dramatic increase in customers due to a much improved product market fit. We are very excited about our growth and are expanding the team to meet our new market potential! We are a diverse and inclusive team of professionals who are passionate about education and technology. Our culture is fast-paced, innovative, and dynamic, and we are always looking for talented individuals to join our team. If you are looking for a challenging and rewarding career in edtech and campus store management, BibliU is the perfect place for you. Join us and help revolutionize the way students and educators access and interact with learning materials! Position Overview As a Software Engineer at BibliU, your primary goal is to drive significant advancements in our digital learning platform, directly impacting the learning experience of students and educators globally. In this role, you will: Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Enhance Educational Accessibility: By developing and refining features, you'll make educational resources more accessible, fostering an equitable learning environment. Your work will directly contribute to reducing educational disparities and enabling students from diverse backgrounds to achieve their academic goals. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Innovate for Impact: You will leverage cutting-edge technologies to create innovative solutions that enhance the user experience. Your contributions will help in making the platform more intuitive, responsive, and effective, thereby increasing engagement and improving learning outcomes. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Collaborate for Success: Working in tandem with cross-functional teams, you'll play a pivotal role in translating ideas into reality. Your collaboration will ensure that the development process aligns with both the company's vision and the users' needs, leading to products that resonate with our audience and uphold our commitment to quality education. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Drive Continuous Improvement: You will not only focus on developing new features but also on enhancing existing ones. Collaborating closely with the product team, you'll ideate improvements and innovative solutions. Additionally, you will provide ongoing support to our existing users by addressing technical issues, assisting customer support teams, and suggesting overall service improvements. This ensures that our platform not only meets current educational needs but also adapts to future challenges and opportunities. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Foster a Culture of Learning: As part of a dynamic team, you will contribute to a culture of continuous learning and innovation. By sharing knowledge and best practices, you will aid in the professional growth of your peers and help maintain BibliU's status as a leader in digital education. Your role as a Software Engineer is not just about writing code; it's about creating tangible outcomes that enhance the learning experience, drive technological innovation, and contribute to the overall mission of BibliU to revolutionise the field of digital education. Our Current Environment Typescript Vue.js Postgres DynamoDB Redis Amazon Web Services Mixture of Lambda & ECS Kubernetes Amazon CDK Github + Github Actions Typescript Typescript Vue.js Vue.js Postgres Postgres DynamoDB DynamoDB Redis Redis Amazon Web Services Amazon Web Services Mixture of Lambda & ECS Mixture of Lambda & ECS Kubernetes Kubernetes Amazon CDK Amazon CDK Github + Github Actions Github + Github Actions Key responsibilities Develop and maintain high-quality software solutions aligned with user needs and business goals. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs in the software. Help maintain code quality, organisation, and automatization. Participate in code reviews and contribute to team learning and improvement. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world. Develop and maintain high-quality software solutions aligned with user needs and business goals. Develop and maintain high-quality software solutions aligned with user needs and business goals. Collaborate with cross-functional teams to define, design, and ship new features. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs in the software. Identify and correct bottlenecks and fix bugs in the software. Help maintain code quality, organisation, and automatization. Help maintain code quality, organisation, and automatization. Participate in code reviews and contribute to team learning and improvement. Participate in code reviews and contribute to team learning and improvement. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world. Stay up-to-date with new technology trends, applications, and protocols in the software engineering world.

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

About Us _ is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just four years, we have raised a total of $120 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 17 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview As a Logical Design Engineer, you will join a team responsible for the micro-architecture, implementation and execution of in-house designed AI products. Your role will be critical in achieving the highest level of quality and performance as well as ensuring continued innovation in both design and design flow. This is an opportunity to work with cutting-edge technology and a dedicated team of professionals who share your passion for pushing the boundaries of what's possible. Key responsibilities: Collaborate with cross-functional teams to clarify and comprehend intricate design specifications and requirements. Architect and implement advanced micro-architectures from high-level specifications for silicon components, adhering to performance, power, and area (PPA) metrics. Employ industry-standard design tools and methodologies to fashion and optimize digital logic circuits. Conduct block and system-level RTL coding, ensuring optimal performance, power, and area (PPA) metrics. Integrate various IPs/Sub IPs into the top-level SoC. Perform static checks (lint, cdc, equivalence checks) to enhance the quality of the RTL. Automate tasks using scripting for efficiency gains. Undertake comprehensive functional verification and collaborate closely with verification engineers to ensure the correctness of the design. Actively engage in design reviews, contributing technical expertise to enhance overall design quality. Work collaboratively with physical design engineers to address design-for-manufacturability (DFM) and design-for-test (DFT) considerations. Qualifications / skills Education: A degree in electronics engineering, electrical engineering or computer science or other relevant discipline. Experience: A minimum of 5 years of experience and proven expertise in silicon logical design, with a successful track record in RTL coding and synthesis, digital design, SoC, and integration of 3rd-party IPs (PCIe, LPDDR), with fluency in Verilog. Expertise: Mastery of industry-standard Electronic Design Automation (EDA) tools for design and verification. Deep understanding of intricate digital design principles, covering clock domain crossing, low-power design, and timing closure. Scripting: Proficiency in scripting languages such as Python, shell or Tcl for automation. Collaboration / Team Player: Demonstrated ability to work closely with architecture, verification, physical design and software teams to ensure comprehensive verification coverage. Problem Solving: Strong analytical and problem-solving skills. Communication: Excellent written and verbal communication skills in English. Comfortable working with a team spread across 15 countries. Location We offer a flexible working arrangement, with options to: Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity. Work fully remotely from any European country (incl. the UK) you are already in. Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven). What we offer This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares. An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.