Software Engineer New Grad

About Us

At Eluvio (https://eluv.io), we’re tackling one of the Internet’s biggest challenges: video. Our Content Fabric is a decentralized platform reimagining how premium media is delivered, processed, and monetized. Unlike traditional cloud and CDN workflows, it enables real-time routing, just-in-time transcoding, personalized playback, and secure ledger-based rights management — all inline with the video stream itself.

Global leaders in entertainment and sports — including Amazon Studios/MGM, Sony, Warner Bros., NBA, UEFA, and WWE — use Eluvio to deliver richer, faster, and more efficient experiences. Recognized with awards from NAB, SEICON, and HPA, and protected by 15+ US patents, Eluvio is building the infrastructure for the future of Internet video.

Our Team

We’re led by the founders of Aspera — an Emmy Award–winning technology company acquired by IBM — and joined by engineers and leaders who have built, scaled, and successfully exited multiple other startups. Our headquarters are in Berkeley, CA, near the UC Berkeley campus, and we’re proud alumni of the UC Berkeley Blockchain Xcelerator.

The Role

We’re looking for exceptional new graduates who are ready to jump in as full-time Software Engineers. If you have a strong academic background, solid fundamentals, and a hunger to learn and make an impact, we want to hear from you. BSc is required; MSc or PhD is a plus.

Depending on your skills and interests, you’ll join one of three areas:

 • Core Systems – Work with Go, Rust, and C/C++, WebAssembly on backend systems, and our full video/audio transcoding, packaging, and processing stack (ffmpeg fork). You’ll also be able to contribute to our decentralized content routing and storage protocol.

 • Applications & Frontend – Build experiences across backend, web, mobile, and TV. Our stack includes Go, JavaScript, Typescript, WebAssembly, Swift (iOS/tvOS), and Kotlin (Android/GoogleTV). You’ll help shape streaming, download, and viewing products used by a wide audience.

 • AI/ML – Develop and apply models for content description, summarization, search, retrieval, and personalization. Our work spans LLMs, VLMs, RAG, reinforcement learning, optimization, and data science.

Our main office is located in Berkeley, CA and we prefer collaborating in-person, with lots of flexibility around exact hours.

 • Education: BSc in EECS or related field (MSc/PhD encouraged)

 • Proven ability: Excellence shown through coursework, internships, research, or open-source contributions

 • Core fundamentals: Strong grounding in algorithms, concurrency, networking, security, and/or machine learning; research experience in new problem areas a plus

By Track

 • Core Systems: Proficiency in Go, Rust, and/or C/C++; experience with testing; knowledge of video codecs (H.264, H.265, AV1) and/or WebRTC a plus

 • Applications: JavaScript/React and full-stack development; experience with mobile (iOS/Android) or TV apps a plus

 • AI/ML: Python and ML/DL frameworks (PyTorch, TensorFlow, scikit-learn); familiarity with Transformers, RAG, LoRA, CV/NLP

Soft Skills

 • Clear and collaborative communicator

 • Detail-oriented but able to move fast

 • Creative problem solver with a team-first mindset

Nice to Have

 • Core: Applied cryptography (e.g., SEC 256, proxy re-encryption, threshold ciphers), media standards (HLS/DASH, H.264, H.265, AV1, WebRTC), ffmpeg, and JavaScript-based media players

 • AI/ML: Experience building fine-tuned or multi-stage ML pipelines, including advanced techniques (LoRA, mixture-of-experts, advanced RAG, statistical optimization)

• Market competitive salary

• Employee stock option program

• Medical, Dental, Vision, 401K with match

• Culture: We celebrate our accomplishments with two major parties a year, have occasional events to coincide with adjacent SF conferences, and we have a warm and casual working environment. Lunch is provided every day!

• Industry Interaction: We publish in our field, give talks, attend/present at product conferences, and interface with our customers regularly. A bunch of the team attend the international and national broadcaster's conferences every year, IBC (Amsterdam) and NAB (Las Vegas), and media conferences such as SXSW, which are all a blast.