NetInsight

Ready to shape how innovative media technology is brought to market? We’re looking for an experienced product marketing professional to strengthen our positioning, sharpen our go-to-market approach and help customers see the value of our technology. ABOUT THE ROLE Net Insight is looking for an experienced Director of Product Marketing to shape how our media technology portfolio is positioned, brought to market and understood by customers. In this hands-on role, you will own product positioning, messaging, go-to-market strategy and sales enablement across our products and solutions for live sports, broadcast and IP/cloud-based media workflows. As part of the MarCom team, reporting to the Chief Marketing Officer, you will work closely with product and commercial teams to turn complex technology into clear and compelling customer value. You will bring a strong understanding of the market and our customers, while ensuring our commercial teams have the positioning, stories and tools they need to succeed. WHAT YOU'LL DO • Define and drive the product marketing strategy for our media technology portfolio. • Develop clear positioning, messaging and value propositions for different customer segments and use cases. • Lead go-to-market planning and commercial readiness for new products, services and major launches. • Translate complex technical capabilities into compelling customer benefits and commercial stories. • Develop sales enablement content such as pitch decks, solution briefs, battlecards, case studies and customer presentations. • Build strong market, customer and competitive insight to support both commercial and product decisions. • Partner closely with Product Management, Sales, Commercial, Marketing, Operations and technical teams. • Support strategic customer engagements, industry events, webinars, analyst briefings and thought-leadership activities. WHAT WE'RE LOOKING FOR You are an experienced product marketing professional with a strong commercial mindset and the ability to connect technology, customer needs and business value. We believe you bring: • 5-10 years of proven experience in product marketing, solutions marketing, product management or commercial strategy within media technology, broadcast, telecommunications, cloud or another complex B2B technology environment. • Strong knowledge of live sports production, broadcast workflows, contribution and distribution, media services or IP/cloud-based media workflows. • Experience developing and executing go-to-market strategies for complex technology products or services. • The ability to turn technical concepts into clear value propositions and engaging customer stories. • Strong communication, presentation and storytelling skills, with confidence engaging both customers and internal stakeholders. • Commercial understanding of areas such as pricing, packaging and service models. • A collaborative and hands-on approach, with the ability to work effectively across Product, Sales, Marketing and technical teams. • Curiosity about emerging technologies and experience using AI and digital tools to improve efficiency and ways of working. WHY JOIN US This is an opportunity to have a real impact on how our technology is positioned and brought to market. You will work close to both customers and technology, helping shape how we communicate the value of our portfolio and strengthening our position in the evolving media industry. You’ll join an environment where technology, commercial thinking and customer value come together, with the opportunity to influence both our market presence and future growth. WELCOME TO APPLY This is a permanent, full-time position based either at our headquarters in Solna, Sweden, or remotely in the UK. For more information about the position, please contact recruiting manager Yaya Selva at yaya.selva@netinsight.net. ABOUT NET INSIGHT Net Insight (Nasdaq: NETI B) provides the highest performing, most open video transport and media cloud technology for content providers as the industry standard for flexibility and service across live contribution, distribution and remote production media workflows. For over 25 years, the world’s leading content owners, broadcasters, production companies, service providers and enterprises have trusted Net Insight’s Emmy® Award winning Nimbra technology to guarantee media delivery. Today, Net Insight partners with hundreds of customers in over 70 countries to ensure media flows across managed and unmanaged IP networks, and the cloud – from anywhere, to everywhere. It enables customers to get the best from any mix of virtualized, cloud and IP technology and is the only platform to support all the major industry standards, protocols and clouds. Welcome to Net Insight, where innovation, collaboration, and trust are the cornerstones of our success. As one team, we are committed to delivering value to our customers, contributing to the growth and success of our company. Together we create a dynamic and positive workplace where everyone is valued, engaged and empowered to make an impact

Are you ready to take on a thesis project where your ideas could shape the future of how the world experiences live sports, news, and entertainment? At Net Insight, we deliver cutting-edge technology for some of the biggest live events worldwide — from high-performing media transport to next-generation 5G time synchronization. We’re at the heart of the action, ensuring seamless experiences for millions of viewers. And now, we’re inviting curious and driven students to join us on this journey. Why do your thesis with us? * Work with real-world challenges in media tech and 5G that have global impact. * Explore exciting topics with room for your own creativity and innovation. * Get access to expert mentors, modern tools and an inspiring environment at our office in Solna Business Park (with a flexible hybrid setup). * Be part of a culture that values curiosity, collaboration, and bold ideas. 🎬 Curious what it’s really like? Check out this video where some of our former thesis students — now proud Net Insight employees — share their experiences of doing their master’s project with us. Suggested thesis topics Here are some ideas to spark your interest — but we’re just as excited to hear your own proposal! * AI-based frame interpolation * High-performance labeling of audio and video streams * AI stream quality detector (black frame, audio silence, duplicate frame, glitches) * eBPF/AF_XDP continuation (firewall or performance improvements) * Integrate high-performance video dataplane in SmartNIC * Common causes for jitter when streaming media in a linux-system. Possibly comparing clouds with VMs with bare metal * SDI input and output on FPGA * AI cloud cost saving using multi cloud strategies * Investigate high performance video streaming using load balancers in the cloud (AWS). Packet loss? Cost? Jitter? * SDI-Spy: Implementing a Video Frame Extractor in FPGA through DMA Each project is suitable for 1–2 students. Who are we looking for? We’re looking for curious minds with a solid technical foundation and a passion for problem-solving: * Basic knowledge of networking and virtualization * Comfortable in Linux * Skills in C++, Python or Node.js/Typescript * For the FPGA-oriented projects, experience with VHDL is required But most importantly — we’re looking for people who bring energy, creativity and a genuine passion for technology. How to apply Apply with your CV and Cover Letter through our career site. Or email us at masterthesis@netinsight.net with your own project idea within a relevant field. Ready to turn your thesis into something truly impactful? Join us at Net Insight and let’s create the future of media technology together. ABOUT NET INSIGHT Net Insight (Nasdaq: NETI B) provides the highest performing, most open video transport and media cloud technology for content providers as the industry standard for flexibility and service across live contribution, distribution and remote production media workflows. For over 25 years, the world’s leading content owners, broadcasters, production companies, service providers and enterprises have trusted Net Insight’s Emmy® Award winning Nimbra technology to guarantee media delivery. Today, Net Insight partners with hundreds of customers in over 70 countries to ensure media flows across managed and unmanaged IP networks, and the cloud – from anywhere, to everywhere. It enables customers to get the best from any mix of virtualized, cloud and IP technology and is the only platform to support all the major industry standards, protocols and clouds. Welcome to Net Insight, where innovation, collaboration, and trust are the cornerstones of our success. As one team, we are committed to delivering value to our customers, contributing to the growth and success of our company. Together we create a dynamic and positive workplace where everyone is valued, engaged and empowered to make an impact ---------------------------------------------------------------------------------------------------------------------------------- Want to learn more about our products and get to know our people? Make sure to check us out on LinkedIn and Youtube!

Net Insight (Nasdaq Stockholm: NETI B) is a Swedish media technology company based in Solna, Stockholm. Its Nimbra products are used by broadcasters, production companies and service providers around the world to transport live video for sports, news and entertainment. ABOUT NIMBRA EDGE Nimbra Edge is Net Insight's cloud-native platform for live media transport. It runs in public, private and hybrid cloud environments and controls both software and physical media-processing appliances. Live streams can be transported using technologies such as RIST, SRT and Zixi, and processed, monitored or transcoded along the way. ABOUT THE TEAM AND THE THESIS OPPORTUNITIES The Nimbra Edge team works across this entire chain, from the control plane and user interface to low-latency video and audio processing and transport. We are looking for master's thesis students interested in real-world problems in live media systems. The topics below are intended as starting points, and the exact scope can be adapted together with the student and university. RESEARCH QUESTION Which system, workload and deployment factors have the greatest impact on the performance and scalability of MXL-based live media pipelines? ABOUT MXL AND THE ASSIGNMENT MXL (Media eXchange Layer) is an open-source SDK for exchanging uncompressed video, audio and data between software media functions. Investigate its performance in realistic live-production workloads and build a reproducible benchmark that can be used to understand where its practical limits and bottlenecks are. POSSIBLE AREAS TO INVESTIGATE · producer–consumer versus one-to-many or many-to-one workflows. · increasing the number of simultaneous video and audio streams. · different resolutions, frame rates and media formats. · x86 versus ARM systems. · native processes versus containers or Kubernetes. · same-host versus inter-host media exchange. · MXL Flow API versus Fabric API use cases. · CPU affinity, NUMA placement and memory contention. · behaviour when CPU or memory bandwidth becomes constrained. · different buffering and application access patterns. · direct MXL integration versus frameworks such as GStreamer. · scalability when several independent media functions share the same host. SUGGESTED MEASUREMENTS Useful measurements could include end-to-end and tail latency, jitter, CPU usage, memory bandwidth, memory footprint, missed real-time deadlines, throughput and the maximum number of streams a system can sustain. OPTIONAL COMPARISON Where useful, MXL can also be compared with a simpler reference implementation, such as a minimal shared-memory producer–consumer pipeline, to estimate the overhead introduced by the media exchange layer itself. SCOPE AND FLEXIBILITY The exact experiments do not need to cover all of these areas. A thesis could instead select a small number of system variables and investigate them in depth, with the benchmark and methodology forming an important part of the contribution. ABOUT NET INSIGHT Net Insight (Nasdaq: NETI B) provides the highest performing, most open video transport and media cloud technology for content providers as the industry standard for flexibility and service across live contribution, distribution and remote production media workflows. For over 25 years, the world’s leading content owners, broadcasters, production companies, service providers and enterprises have trusted Net Insight’s Emmy® Award winning Nimbra technology to guarantee media delivery. Today, Net Insight partners with hundreds of customers in over 70 countries to ensure media flows across managed and unmanaged IP networks, and the cloud – from anywhere, to everywhere. It enables customers to get the best from any mix of virtualized, cloud and IP technology and is the only platform to support all the major industry standards, protocols and clouds. Welcome to Net Insight, where innovation, collaboration, and trust are the cornerstones of our success. As one team, we are committed to delivering value to our customers, contributing to the growth and success of our company. Together we create a dynamic and positive workplace where everyone is valued, engaged and empowered to make an impact

Net Insight (Nasdaq Stockholm: NETI B) is a Swedish media technology company based in Solna, Stockholm. Its Nimbra products are used by broadcasters, production companies and service providers around the world to transport live video for sports, news and entertainment. ABOUT NIMBRA EDGE Nimbra Edge is Net Insight's cloud-native platform for live media transport. It runs in public, private and hybrid cloud environments and controls both software and physical media-processing appliances. Live streams can be transported using technologies such as RIST, SRT and Zixi, and processed, monitored or transcoded along the way. ABOUT THE TEAM AND THE THESIS OPPORTUNITIES The Nimbra Edge team works across this entire chain, from the control plane and user interface to low-latency video and audio processing and transport. We are looking for master's thesis students interested in real-world problems in live media systems. The topics below are intended as starting points, and the exact scope can be adapted together with the student and university. RESEARCH QUESTION How does Media over QUIC Transport (MOQT) compare with RIST and SRT under realistic network and latency constraints, and can media-aware prioritization improve delivery when network capacity becomes insufficient? BACKGROUND AND OBJECTIVE Investigate MOQT as a transport for low-latency live media, using RIST and/or SRT as a baseline. Explore how knowledge about media importance and playback deadlines can help a transport system decide which media to transmit, retransmit, delay or discard when all available data cannot arrive in time. SUGGESTED APPROACH The work would use a reproducible test environment to study a selected set of network conditions, such as packet loss, burst loss, jitter, packet reordering and changes in available bandwidth. An initial comparison would establish how the selected transports behave under these conditions, followed by an evaluation of media-aware prioritization in one suitable transport. POSSIBLE PRIORITIZATION STRATEGIES * audio versus video. * key frames, reference frames and their dependent frames. * base and enhancement layers. * primary and secondary programme streams. * media versus metadata or ancillary data. * playback deadlines and the remaining useful lifetime of data. EVALUATION CRITERIA * end-to-end latency and latency stability. * media delivered before its deadline. * decodable video frames and audio continuity. * bandwidth efficiency and protocol overhead. * startup and recovery time after loss or congestion. * starvation of lower-priority media. POSSIBLE EXTENSION: ALTERNATIVES TO MPEG-TS The work could also investigate alternatives to MPEG Transport Stream (MPEG-TS) packaging for MOQT, examining both benefits and drawbacks in terms of latency, overhead, media-aware prioritization, synchronization and interoperability. This could include identifying what information must be conveyed separately when MPEG-TS is replaced, and assessing how far additional signaling through MSF (MOQT Streaming Format) can meet those needs. The investigation could explore which capabilities are preserved, where further mechanisms are needed, and what complexity or limitations the alternative packaging introduces. SCOPE AND FLEXIBILITY The scope can be adapted by selecting a small number of network scenarios, media structures, packaging formats and prioritization strategies. A thesis could, for example, compare MOQT with one established transport and then investigate a selected packaging approach or prioritization strategy within MOQT. Existing work comparing RIST and SRT can provide a baseline, allowing the contribution to focus primarily on what MOQT changes or enables. ABOUT NET INSIGHT Net Insight (Nasdaq: NETI B) provides the highest performing, most open video transport and media cloud technology for content providers as the industry standard for flexibility and service across live contribution, distribution and remote production media workflows. For over 25 years, the world’s leading content owners, broadcasters, production companies, service providers and enterprises have trusted Net Insight’s Emmy® Award winning Nimbra technology to guarantee media delivery. Today, Net Insight partners with hundreds of customers in over 70 countries to ensure media flows across managed and unmanaged IP networks, and the cloud – from anywhere, to everywhere. It enables customers to get the best from any mix of virtualized, cloud and IP technology and is the only platform to support all the major industry standards, protocols and clouds. Welcome to Net Insight, where innovation, collaboration, and trust are the cornerstones of our success. As one team, we are committed to delivering value to our customers, contributing to the growth and success of our company. Together we create a dynamic and positive workplace where everyone is valued, engaged and empowered to make an impact

Net Insight develops network timing and synchronization equipment for mobile networks. One of our products, Zyntai, provides GNSS-independent time synchronization for 5G using time transfer. This thesis would be carried out together with our R&D team in Stockholm and focus on precision timing systems. THE PROBLEM 5G networks need base stations to stay synchronized to within about a microsecond, measured as time error (TE). Too much drift between nearby base stations causes interference and degrades the network. Base stations normally get this accuracy from GNSS, but GNSS can be jammed, spoofed, or lost, and backup synchronization via time transfer isn't always available either. When that happens, equipment falls back on holdover, using its own oscillator to keep time. Oscillators that seem accurate by human standards drift into unacceptable TE within a few hours, and extending that window without resorting to an expensive, higher quality oscillator is still an open industry problem. There is no fixed answer for how to approach it. The problem is wide and can be tackled in different ways. A few directions worth looking into: Kalman filter based prediction of oscillator drift, switching more smoothly between trusting the network and holding the current time, machine learning to let the system learn an oscillator's behavior from data directly or combining information from more than one frequency source. Other creative approaches are welcomed as well! Ideally, the thesis will implement and evaluate multiple approaches. Which of these to focus on is something we would decide together before starting the thesis work. WHY DO YOUR THESIS WITH NET INSIGHT? * Supervision from engineers who work on this hardware and software every day. * A desk with the team at our Stockholm office, access to our lab equipment and test setups, the real gear we test our own products with. * You’ll work with a real-world problem nobody's fully solved yet, contributing to a cutting-edge high-precision timing solution. We’re looking for curious minds with a solid technical foundation and a passion for problem-solving! Check out this video where previous master thesis students, now proud employees, share their experience of doing their master thesis with us. Your education is ideally in electrical engineering, engineering physics, computer science, or an equivalent field, ideally with a background in control theory, C++, Python, Linux, networking, and embedded systems. This project is suitable for 1-2 students. Ready to turn your thesis into something truly impactful? Join us at Net Insight and let’s create the future of synchronization together! FURTHER READING 5G uses time division duplexing, alternating between sending and receiving on the same frequency in windows often below one millisecond. This requires base stations to agree on time to within microseconds: if nearby base stations become sufficiently out of sync, their transmissions interfere, degrading service or causing outages. A 5G base station is considered out of sync once its time error (TE) exceeds 1 µs. Base stations obtain this accuracy from GNSS satellites, which distribute reference time established by timing laboratories using atomic clocks. This has long been the industry standard, but GNSS availability cannot be guaranteed: its signals can be jammed or spoofed, making timing unreliable or unavailable in some regions. When the primary reference is lost, equipment enters holdover, maintaining synchronization using its own local frequency source until the reference returns. This source is typically an oscillator (TCXO/OCXO) rather than an atomic clock. Such oscillators are highly accurate by human standards, drifting only milliseconds per year, but this small drift becomes significant at microsecond scale: extrapolated to the 1 µs threshold, such an oscillator may keep equipment within limits for only around 3-5 hours. Enhanced holdover studies how timing equipment can remain within required synchronization limits while its primary reference is unavailable. The problem is not simply keeping a local clock running, but extending the time before accumulated error makes equipment unusable for high-precision systems such as 5G base stations. OSCILLATORS AND FREQUENCY STABILITY Timing equipment uses a physical oscillator as its frequency reference. Common types include quartz crystal oscillators, temperature-compensated (TCXO) and oven-controlled (OCXO) variants for higher stability, and atomic references (rubidium, cesium) where extreme stability is required. No oscillator runs at exactly its nominal frequency; the deviation is specified as accuracy or stability, typically in parts per million (ppm) or parts per billion (ppb). Long-term average accuracy and short-term stability (how much frequency wanders moment-to-moment) are related but distinct, and it is short-term stability that dominates holdover performance. FROM PPM TO MICROSECONDS A relative frequency error accumulates a time error over time when in holdover. An oscillator good enough to hold 1 µs of error for three hours has a stability of approximately 1 µs ÷ 10,800 s ≈ 9.3×10⁻¹¹: about 1 part in 10 billion. The same stability implies roughly 8 µs of drift per day and about 3 milliseconds per year, which illustrates the core tension: a level of accuracy no human would ever notice is still insufficient for microsecond-scale radio synchronization by several hours' margin. THE TIME-ERROR BUDGET AND TDD SYNCHRONIZATION Time Error (TE) is the difference between a node's output time and true reference time, typically reported as a worst-case value over an observation window. TDD networks require tight TE control because neighboring base stations share the same frequency channel and time-multiplex uplink and downlink transmissions; misaligned frame boundaries beyond the network's error budget cause uplink and downlink windows to overlap between cells, producing interference. ITU-T G.8271 formalizes this into accuracy classes, with ±1.5 µs covering standard LTE-TDD/NR-TDD deployments and ±1 µs and below applying to some configurations and more advanced coordinated radio features. This is an end-to-end budget shared across the full delivery chain from the primary reference to the radio unit, so a node's own holdover error draws directly on the same margin consumed by every other stage of the chain. RELEVANT LINKS * Time transfer: https://en.wikipedia.org/wiki/Time_and_frequency_transfer * Frequency standard: https://en.wikipedia.org/wiki/Frequency_standard - OCXO: https://en.wikipedia.org/wiki/Crystal_oven - Rubidium standard: https://en.wikipedia.org/wiki/Rubidium_standard - Caesium standard: https://en.wikipedia.org/wiki/Caesium_standard - Hydrogen maser: https://en.wikipedia.org/wiki/Hydrogen_maser * GNSS disciplining: https://en.wikipedia.org/wiki/GPS-disciplined_oscillator * Adaptive drift compensation for holdover oscillators: https://www.sitime.com/api/gated/Adaptive-Drift-Compensation-for-Holdover-Oscillators.pdf * Veritasium video on GNSS jamming: https://www.youtube.com/watch?v=tz23G_UXCGA ABOUT NET INSIGHT Net Insight (Nasdaq: NETI B) provides the highest performing, most open video transport and media cloud technology for content providers as the industry standard for flexibility and service across live contribution, distribution and remote production media workflows. For over 25 years, the world’s leading content owners, broadcasters, production companies, service providers and enterprises have trusted Net Insight’s Emmy® Award winning Nimbra technology to guarantee media delivery. Today, Net Insight partners with hundreds of customers in over 70 countries to ensure media flows across managed and unmanaged IP networks, and the cloud – from anywhere, to everywhere. It enables customers to get the best from any mix of virtualized, cloud and IP technology and is the only platform to support all the major industry standards, protocols and clouds. For more information, please visit www.netinsight.net Twitter: @NetInsight, twitter.com/NetInsight LinkedIn: @Net Insight, www.linkedin.com/company/net-i...