| Description | About Us We at Eluvio (https://eluv.io) are solving the generational problems of video over the Internet. The Content Fabric is a next-generation content distribution and storage protocol deployed in a global network of nodes transforming the distribution and monetization of premium video and digital media-in contrast to legacy cloud workflows and CDNs. The Fabric provides a new and innovative decentralized video processing framework with the ambition of serving a sizable percentage of the world's Internet video with just-in-time and personalized experiences. Components are real-time content routing just-in-time code execution on ingress and egress an inline frame-accurate video and content AI stack and blockchain-controlled content encryption verification and authorization. Our users are innovative sports and entertainment brands Amazon Studios/MGM Cricket Australia European Professional Club Rugby NBA Red Bull SONY UEFA United Rugby Championship Warner Bros. and WWE to name a few. We aim to serve all content owners who distribute and harness video and other valuable content IP. On X: @EluvioInc On LinkedIn: Eluvio https://www.linkedin.com/company/eluv-io/. Our Team Our team is a highly focused and ambitious team of software engineers and computer scientists in systems networking applications and video AI and ML and security/cryptography working together to implement the vision of the Content Fabric. We build with a first-principles approach and have been recognized with many innovation and product awards such as NAB Streaming Product of the Year (2024 and 2025) the SEICON Grand Prize and the HPA Engineering Excellence Award and we hold 15 issued US patents. We are led by founders Michelle Munson and Serban Simu who previously built and sold Aspera an Emmy award winning technology and major acquisition by IBM. The team includes several other leaders who have built companies with successful exits. Our HQ is in Berkeley CA not far from the UC Berkeley campus and we were part of the UC Berkeley Blockchain Xclerator. The Role This role is focused on Outstanding New Graduates who wish to join our team as a full-time Software Engineer. Candidates should have an outstanding academic background and demonstrated excellent foundational knowledge and a deep appetite to learn and contribute. BSc is the minimum MSc and PhD welcome. We will steer you toward our Core Applications or AI/ML teams based on your fit. In the Core backend work is based on Go Rust and C including native and Web Assembly binaries and includes a full video/audio transcoding packaging and processing stack in addition to the decentralized content routing/storage protocol. Our Apps and Front-end are largely JavaScript (browser) native TV and Mobile apps (iOS/Android and others) and Web Assembly and span a wide range of content streaming download and viewing experiences. Our AI/ML team builds trains and applies large and small models across varied applications in content description summarization search retrieval and personalization utilizing LLMs/VLMs/RAG reinforcement learning statistical and ML optimization and data science. Our main offices are located in Berkeley CA but for the right candidate and circumstances remote work is possible. Requirements Minimum BSc in EECS or a related discipline (MSc or PhD is great!) Demonstrated excellence in classroom internship or open source software and model development. Excellent understanding of core computer science fundamentals in chosen focus areas such as algorithms concurrent programming security networking and machine learning. Research and development experience in new problem areas preferred For Core - Working knowledge of a low level programming such as Go Rust or C/C++ including unit and integration tests and strong versatility working up and down the stack For Apps - Working knowledge of JavaScript full-stack application development and current MVC/react or equivalent frameworks including ability to write modular and testable code. Knowledge of mobile/TV native code e.g. iOS tvOS Android AndroidTV a plus For ML/AI - Deep classroom experience in data science or machine learning or internship Comfortable with Python. Knowledge of machine/deep learning algorithms - the more the better (e.g. RAG encoding/decoding Transformers LLM/LVLM fine-tuning gradient boosting CNNs sequence models) and frameworks/libraries (e.g. Tensorflow PyTorch Sci kit-learn) Knowledge of computer vision and natural language processing Great communication skills organized able to multitask and be a team player Ability to balance attention to detail with agile execution Ability to think creatively and innovate new solutions to hard problems Nice to Have For core - Applied cryptography including SECP256-based protocols proxy re-encryption threshold ciphers and protocols. Familiarity and experience with H.264 H.265 AV-1 standards and generally codec standards. Familiarity and experience with WebRTC. Full-stack application experience operating and using video tools such as ffmpeg Understanding and familiarity with java-script based media players For AI/ML - Extended experience creating new fine-tuned and multi-stage AI/ML pipelines including latest R&D in LLVMs/Mix-of-experts/LoRA/Advanced Optimization/Advanced RAG and statistical techniques Benefits A chance to be part of a technology that is literally changing the world of Video and Content on the Internet working with and learning from some the best engineers in the world and a chance to make your mark Market competitive salary Employee stock option program Medical Dental Vision 401K Work Hard / Play Hard - we celebrate our accomplishments with at least 2 parties a year and we have a warm and casual working environment. Lunch is provided every day Conferences tech events and customer interaction are common. We publish in our field give talks present at product conferences and interface with our customers regularly. 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