Spot AI is hiring: Sr. Software Engineer, Video Pipeline (Remote or SF Bay Area)

Sr. Software Engineer, Video Pipeline (Remote or SF Bay Area) Who we are. At Spot AI, we’re building the future of intelligent operations, powered by the untapped potential of video. While we started with revolutionizing video surveillance, today we’re at the forefront of using cameras as sensors and AI Agents to automate human tasks across the physical world. Our leading edge platform and award winning technology helps mid-market and enterprise businesses improve safety, security and operational efficiency by transforming video footage into actionable insights. From reducing downtime on manufacturing lines, to automating SOP checks at car washes, to scaling real-time monitoring across construction sites and mobile surveillance units, we give organizations a smarter way to run their operations and drive better business outcomes. We are currently deployed across 10,000+ locations, serving some of the largest names in manufacturing, construction, logistics and retail. Whether through easy-to-build custom AI Agents that detect risks before they happen, or integrations with central monitoring centers to reduce false alarms, our vision is bold: to become the intelligence layer for every camera in the physical world. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No matter the role or level, Spotans (our team members) share a common DNA, and we’re looking for more teammates who share the same high-performance mindset: Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are. Builder’s Mentality: You thrive on creating new solutions, not maintaining the status quo. If you've founded a company, been employee number 1 - 20, or have run a venture for over two years, we’re especially excited to meet you! High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do. Our cultural pillars guide how we operate. We: Spend Strategically. We maximize resources and minimize waste. Push for Progress. We make decisions, move fast, and celebrate action. Obsess Over Customers: We remove friction and add value to create delight. Trust Our Team: Respect, trust and collaboration are non-negotiable. Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work. Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it. Who you are. You’re a seasoned video systems engineer who thrives on building complex, high-performance systems. You’ve spent the past 7+ years honing your craft in professional software engineering environments, and at least 3 of those have been focused on building or optimizing video pipelines using tools like GStreamer or FFmpeg . You’re comfortable with writing Rust code and bonus points if you’ve built gstreamer pipelines in Rust. You love to experiment, iterate, and get things working in the wild. You understand the full flow of video data—from ingestion and decoding, to compression and streaming—and you know how to tune performance in resource-constrained environments like edge devices. You have: 7+ years of software engineering experience, with a strong focus on performance and reliability. 3+ years building production-ready video pipelines with GStreamer, FFmpeg , or similar frameworks Hands-on experience with streaming protocols like WebRTC, RTSP, or HLS and codecs like H.264, H.265 Experience coding in Rust or C/C++ programmers comfortable with using Rust, and deploying applications in Linux environments A problem-solving mindset, strong communication skills, and a desire to work cross-functionally And you’d describe yourself as: Mission-aligned. Excited about the real-world impact of video intelligence and motivated by the opportunity to shape what the next decade of video AI looks like. Self-motivated and accountable. You excel with ownership and autonomy, producing high quality outcomes with minimal direction and oversight. What you’ll do: This role is all about impact and ownership. You'll take the lead on evolving our edge-based video processing stack—starting with projects that will immediately improve latency, reliability, and video quality for thousands of customers across real-world environments. In this role, you’ll: Own the design, development, and scaling of our video pipeline for edge devices , ensuring real-time processing and efficient performance Optimization for Intel and NVIDIA GPU encoders and decoders. Collaborate with product and hardware teams to optimize video quality across different camera models and network conditions Lead initiatives to instrument and monitor performance , then design tools and improvements that help the entire team ship better video experiences faster Evaluate and integrate new protocols and codecs that improve efficiency or enable new customer use cases Contribute clean, reliable, and well-documented code to a growing codebase that ships often Work closely with support and customer teams to troubleshoot live issues and deliver customer-obsessed solutions You’ll have real ownership and autonomy from Day 1—and you’ll be building the systems that make Spot AI the most reliable and intelligent video platform in the world. What excites you. A place that gives you the room to learn from failure while driving excellence. A culture where hard work that drives great outcomes is expected, celebrated, and rewarded. A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time Building systems that power 10,000+ customer locations and process millions of hours of real-time video Working with and learning from an exceptional team of engineers , with deep technical expertise across AI, edge computing, and systems design A hands-on role where your ideas go from prototype to production in a matter of days—not quarters Taking full ownership of the video pipeline and helping shape the future of AI-driven camera systems Getting to experiment, optimize, and innovate at the edge—solving performance challenges that few engineers get to work on The chance to turn cameras into smart, proactive tools that help real people and businesses stay safer and run better Compensation and Benefits. Annual Base Salary Range: $195,000 - $220,000. The offered salary will depend on your location within the U.S. and your demonstrated skills and competencies for the role. Your recruiter will provide the specific range for your area as you progress through the interview process. Meaningful early stage equity Medical, dental and vision plan options with little-to-no cost for employees and dependents Company paid short- and long-term disability plans 401K with Employer Match Come build the future of Video AI with us! We are creating and cultivating a diverse and inclusive culture where we celebrate individuals for what they accomplish, no matter who they are! As an equal opportunity employer, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Create a Job Alert Interested in building your career at Spot AI? Get future opportunities sent straight to your email. Apply for this job * First Name * Last Name * Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Do you now, or will you in the future, require sponsorship to work for any employer in the USA? Select... #J-18808-Ljbffr In Summary: At Spot AI, we’re building the future of intelligent operations powered by the untapped potential of video . Our leading edge platform and award winning technology helps mid-market and enterprise businesses improve safety, security and operational efficiency . We are currently deployed across 10,000+ locations, serving some of the largest names in manufacturing, construction, logistics and retail . En Español: Sr. Ingeniero de Software, Video Pipeline (Remote o SF Bay Area) Quiénes somos. En Spot AI estamos construyendo el futuro de las operaciones inteligentes, impulsadas por el potencial inexplorado del video. Si bien empezamos con revolucionar la videovigilancia, hoy estamos a la vanguardia en usar cámaras como sensores y agentes de IA para automatizar tareas humanas en todo el mundo físico. Nuestra plataforma líder y tecnología galardonada ayudan a empresas medianas y empresariales a mejorar la seguridad, seguridad y eficiencia operativa al transformar imágenes de vídeo en conocimientos accionables. Desde reducir el downtime en la fabricación, hasta automatizar los cheques SOP en las lavanderías de automóviles, hasta escalar en tiempo real las operaciones de vigilancia en sitios de construcción y unidades móviles. Somos un equipo extremadamente apasionado y ambicioso construyendo una empresa diseñada para sobrevivir a nuestra vida. No importa el papel o nivel, los Spotans (miembros de nuestro equipo) comparten un ADN común, y estamos buscando más compañeros que compartan la misma mentalidad de alto rendimiento: Drive Relentless: Tienes una ambición extrema y algo que probar. Los desafíos te alimentan. La construcción no es solo lo que haces; eres tú. Mentalidad del creador: Prosperas en crear nuevas soluciones, no manteniendo el status quo. Si has fundado una compañía, ha sido como número 1 - 20, o ejecutado una empresa durante más de dos años, nos entusiasma especialmente conocerte! Hustle High Humility: Progresas con un alto coeficiente intelectual, combinar un bajo EQ, y un trabajo sin fricción egoísta que se convierte en pilares culturales. Usted ha pasado los últimos 7+ años perfeccionando su oficio en entornos profesionales de ingeniería de software, y al menos 3 de ellos se han centrado en construir o optimizar tuberías de vídeo utilizando herramientas como GStreamer o FFmpeg. Se siente cómodo con la escritura del código Rust y puntos bonos si ha construido tuberías gstreamer en Rust. Le encanta experimentar, iterar y hacer que las cosas funcionen en el medio salvaje. Comprende el flujo completo de datos de video desde la ingestión y descodificación, a la compresión y transmisión y sabe cómo sintonizar el rendimiento en recursos limitados como dispositivos de borde. Tiene: 7 + años de experiencia en ingeniería software, con un fuerte enfoque en el desempeño y fiabilidad ambientes. Lo que va a hacer: Este papel es todo sobre el impacto y la propiedad. Tomará la iniciativa de evolucionar nuestra pila de procesamiento de vídeo basado en los bordes, comenzando con proyectos que mejorarán inmediatamente la latencia, fiabilidad y calidad del video para miles de clientes en entornos reales. En este rol, usted será propietario del diseño, desarrollo y ampliación de nuestro pipeline de videos para dispositivos de borde , garantizando un procesamiento en tiempo real y rendimiento eficiente Optimización para codificadores y decodificadores GPU Intel y NVIDIA. Colaborar con equipos de producto y hardware para optimizar la calidad del vídeo en diferentes modelos de cámaras y condiciones de red Lideran iniciativas para instrumentar y monitorear el rendimiento , luego diseñar herramientas y mejoras que ayuden al equipo entero a enviar mejores experiencias vídeos más rápidamente Evaluar e integrar nuevos protocolos y códigos que permiten eficiencia o capacitar nuevos casos de trabajo . Un lugar donde se puede tener un impacto en toda la industria y contribuir a una de las tecnologías más emocionantes de nuestro tiempo Construir sistemas que impulsan 10,000+ ubicaciones de clientes e procesan millones de horas de video en tiempo real Trabajar con y aprendiendo de un equipo excepcional de ingenieros , con profunda experiencia técnica en IA, computación del borde y diseño de sistemas Un papel práctico donde sus ideas van desde el prototipo hasta la producción en cuestión de días no trimestres Tomando plena propiedad de la tubería de vídeo y ayudando a dar forma al futuro de los sistemas de cámaras impulsados por AI Experimentar, optimizar e innovar en el extremo Resolviendo desafíos que pocos ingenieros consiguen trabajar La oportunidad de convertir cámaras en herramientas proactivas que ayudan a personas reales y empresas a mantenerse más seguras y funcionar mejor Compensos y beneficios inteligentes. Compañía pagó planes de discapacidad a corto y largo plazo 401K con el Empleador Match Ven a construir el futuro de la Inteligencia Artificial Video con nosotros! Estamos creando y cultivando una cultura diversa e inclusiva donde celebramos a las personas por lo que logran, sin importar quiénes sean! Como empleador de igualdad de oportunidades, no discriminamos en función de raza, religión, color, origen nacional, género, orientación sexual, edad, estado civil, estatus veterano o estatus de incapacidad. Crear un Alerta de Trabajo Interesado en desarrollar tu carrera en Spot AI? Obtenga futuras oportunidades enviadas directamente a su correo electrónico. Solicite este trabajo * Nombre * Último nombre * E-mail * Acceptar archivo / CV