Integration Engineer - AI Pipelines
About the job
- Commercial software development experience using Python, including writing maintainable, tested and documented code.
- Practical video engineering knowledge and a basic understanding of how video streams work, including codecs and containers, frame extraction, timestamps, keyframes, audio/video synchronisation, transcoding and streaming fundamentals.
- Good problem-solving skills and confidence working across unfamiliar codebases, third-party libraries and APIs.
- Clear written and verbal communication, including concise progress updates and technical documentation.
- A degree in Computer Science, Engineering or a related discipline, or equivalent practical experience.
- Develop and maintain production-quality Python integrations, tools and sample applications for V-Nova's LCEVC and VC-6 technologies within AI video workflows.
- Integrate codec SDKs into video curation, data preparation and inference pipelines, including workflows using technologies such as NVIDIA NeMo Curator, with either native integrations or via frameworks such as FFmpeg and GStreamer.
- Build and maintain video processing pipelines covering ingest, frame and clip extraction, transcoding, timestamps, keyframes, metadata and audio/video synchronisation.
- Connect video processing stages to computer-vision and multimodal AI models for tasks such as classification, detection, captioning, embeddings, retrieval and structured output generation.
- Prototype and benchmark codec-aware inference workflows, including the selective use of resolutions or regions of interest, and evaluate their impact on accuracy, latency, throughput, scalability and cost.
- Create automated tests, performance measurements and clear technical documentation that help colleagues, customers and partners reproduce and evaluate integrations.
- Collaborate with colleagues and external engineering teams to scope work, communicate progress and deliver integrations to production.
- Experience with virtualisation and containerisation technologies, including Docker, and an understanding of building and managing portable, scalable environments.
- Experience working with AWS or similar services and deploying, managing or supporting applications in cloud-based environments.
- Experience with video curation or data preparation frameworks, or with building scalable batch and streaming data pipelines.
- Experience with multimodal AI, including LLM or VLM APIs, image and video understanding, embeddings, structured outputs, tool or function calling, and retrieval-augmented generation.
- Experience deploying and optimising AI inference workloads, with an understanding of performance considerations such as latency, throughput, scalability and cost.
- Direct development experience with FFmpeg or GStreamer.
- Experience with GPU-accelerated video or AI technologies such as CUDA, PyTorch, TensorRT, Triton Inference Server or NVIDIA DeepStream.
About the company
V-Nova specializes in advanced data, video, imaging, and point cloud compression and licenses its proprietary compression technologies to broadcasters, streaming services, and telecom providers. Its products are software-based compression solutions that are licensed to customers; updates improve video quality, enabling sharper and smoother streaming experiences. The company’s technology has been recognized and standardized by MPEG, ISO, and SMPTE, which helps differentiate it from others that may offer generic or non-standardized codecs. V-Nova distinguishes itself through its licensing model, partnerships with major industry players, and a focus on delivering observable improvements in streaming quality to drive higher audience retention and engagement. The company’s goal is to expand adoption of its compression technologies, helping clients deliver better video experiences while generating revenue through licensing and collaborations.
Company Size
51-200
Company Stage
Series C
Total Funding
$79.1M
Headquarters
London, United Kingdom
Founded
2011
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Simplify's Take
What believers are saying
- Globo launched DTV+ in Rio, São Paulo, and Brasília on June 11, 2026.
- More than 50 partners, including Harmonic and Realtek, validate ecosystem momentum.
- IBC 2026 showcases VC-6, NVIDIA collaborations, and consumer-ready PresenZ deployment.
What critics are saying
- LCEVC licensing revenue still depends on broadcaster adoption beyond Brazil’s 2026 rollout.
- Codec giants like VVC, AV1, and HEVC compress V-Nova’s pricing power.
- If Brazil’s DTV+ stalls, V-Nova loses its clearest commercial reference customer.
What makes V-Nova unique
- Brazil’s DTV+ made LCEVC a broadcast standard in June 2026.
- V-Nova spans compression, AI visual data, and immersive XR under one IP portfolio.
- Open-source integrations in FFmpeg, GStreamer, dash.js, and Shaka Player widen developer reach.
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