Your impact

Build the backbone of autonomous AI video creation — low-latency pipelines, real-time media processing, and ML orchestration at scale. As a founding engineer, you’ll help define our architecture, own critical systems, and tackle hard, high-leverage problems that sit at the intersection of GenAI, video, and ad performance. You’ll shape not just our stack — but the product itself.

About Us

At Solid Labs, we’re building the first autonomous video creation platform powered by LLMs, real-time pipelines, and persistent brand memory — so marketers can scale video ads like never before. We're backed by top-tier investors and operators who’ve built category-defining AI and creative tech companies. Our recent pre-seed gives us the capital and conviction to move fast. We’re already trusted by leading DTC, eComm, and marketplace brands — and we’re just getting started.

The Opportunity

As a Senior Software Engineer, Backend & ML at Solid Labs, you’ll join a high-impact team of AI researchers, frontend engineers, product designers, and creative technologists to build and scale the infrastructure powering our end-to-end AI systems. From serverless ML pipelines to scalable video processing backends, your work will enable powerful automation and insights for creative and marketing teams.

You will embrace open-ended problems around the development, deployment and scaling of ML models and have the opportunity to take ownership over a large scope of the design and development of our future product and pioneer new advancements in the way humans interact with creative GenAI features in the video and image space. You are the right fit if you’re passionate about creating user and business value and solving problems end-to-end with a strong product sense and design awareness. As a Senior SWE, you will partner with top global talent to build scalable, modular workflows and reliable AI models with user experience top of mind.

What We’re Looking For

• 6+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
• 3+ years of experience in one or more of the following areas: video processing pipelines, computer vision, or media-related machine learning, artificial intelligence, or a related technical field
• Experience building backend systems with TypeScript/Node.js and AWS (especially serverless) or comparable technologies
• Experience with developing, deploying or scaling machine learning models from inception to business impact
• Comfortable working in modern cloud environments, especially AWS Lambda, S3, and event-driven systems
• Experience as an owner of a particular component, feature or system
• Able to make pragmatic technical decisions that support fast iteration and scaling
• Experience completing projects with a large and ambiguous scope
• Thrives in cross-functional teams and fast-paced, collaborative environments

What You’ll Do

• Integrate ML into production: Design and deploy serverless pipelines for video generation, speech synthesis, and computer vision
• Build core backend systems: Develop robust, scalable services using Node.js, TypeScript, and AWS Lambda in a cloud-native architecture
• Own data & performance: Ensure fast, reliable processing and delivery of video data across the platform
• Architect for scale: Help define backend architecture and APIs that support advanced AI capabilities and high-volume workloads
• Work closely with product: Translate user needs into backend systems that deliver measurable value
• Shape product direction — your work will define the experience for people our products daily

Preferred Qualifications

• Advanced degree in Computer Science or ML-related field
• Proven experience deploying and integrating ML models into real-world production systems
• Strong background in video and/or audio processing, including analysis and optimization workflows
• Hands-on experience with data pipelines for advertising performance metrics or similar analytics-heavy domains
• Familiarity with LLMs or generative AI infrastructure, including serving, fine-tuning, or orchestration at scale
• Experience building scalable, reliable, and maintainable enterprise-grade software systems

Why it matters

Video is the dominant language of the internet — but creating high-performing content is slow, manual, and fragmented. We’re changing that by:

• Rebuilding creation from first principles with LLMs, speech, and vision models connected through real-time, modular pipelines
• Giving marketers creative superpowers by collapsing dozens of tools into one intelligent system
• Creating self-learning video systems that generate, iterate, and improve content performance — autonomously

Why you should join us

• Now’s the time: Freshly funded, experienced founders, real traction, top customers — and early enough to still shape everything. You’ll have massive impact on the product, architecture, and our culture.
• Hard problems, real use: From async orchestration and GPU optimization to data pipelines and video infra — this is applied AI at the edge
• Full ownership: No middle layers, full access to customers, full-stack scope
• Team & vibe: Ambitious, curious, global. We’ll reshape an industry and keep it fun while doing so! Team events, offsites and swag!

What We Offer

• Top-of-market compensation: Salary and benefits package designed to attract top talent
• Early team equity: Offering the best VSOP and aligned with stage
• Remote-friendly: with offices in Berlin, Cologne, and Vienna
• Technical challenges: Opportunity to work on cutting-edge problems in video, ML, and collaborative tools. We move fast but build serious systems.
• Full time role: no contractors possible and we do not relocate.
• Your setup: Choose your favorite equipment and working environment. Whether Mac/Windows/Linux suits you, we want you to feel comfortable.
• Uncapped growth: Founding engineer, tech lead, principal IC — you choose your path

Join us in building the next generation of AI-powered video creation platform that will transform how brands connect with their audiences.

Interested? We'd love to chat about how you could help reshape the creative video industry together with us! Reach out to [email protected]

We strive to remove barriers, eliminate discrimination, and ensure equal opportunity through our transparent recruitment process. We are open to all groups of people without regard to age, color, national origin, race, religion, gender, sex, sexual orientation, gender identity and/or expression, marital status or any other legally protected characteristic.