Isotron AI
About the Role
We're an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we're building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible.
We're a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media.
We're operating at the edge of what's technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you'll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one.
If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we'd love to talk.
About the Role
We're looking for a Founding Engineer, ML Performance & Systems with deep expertise in high-performance ML infrastructure. This is a highly technical, high-impact role focused on squeezing every drop of performance from real-time generative media models.
You'll work across the model-serving stack, designing novel architectures, optimizing inference performance, and shaping Reactor's competitive edge in ultra-low-latency, high-throughput environments
What You'll Do Drive our frontier position on real-time model performance for diffusion models Design and implement a high-performance in-house inference engine Focus on maximizing throughput and minimizing latency and resource usage Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities Requirements Minimum Qualifications
Proficiency in building and maintaining full-stack web applications Experience with modern frameworks and languages such as Python, Next.js, and Postgres Strong understanding of API design principles, authentication strategies (OAuth, API keys), and SDK architecture Familiarity with developer tooling and platforms-understanding what makes great documentation, intuitive DX, and reliable SDKs Comfort working across the stack-from database models and cloud infrastructure to front-end components and user flows Additional beneficial experience:
Experience with OpenAPI / Swagger and API gateway design Familiarity with WebSockets, streaming APIs, or real-time collaboration tools Exposure to developer community engagement-e.g., writing tutorials, supporting integrations, or maintaining SDKs Benefits
Competitive SF salary and foundational team equity
We're an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we're building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible.
We're a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media.
We're operating at the edge of what's technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you'll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one.
If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we'd love to talk.
About the Role
We're looking for a Founding Engineer, ML Performance & Systems with deep expertise in high-performance ML infrastructure. This is a highly technical, high-impact role focused on squeezing every drop of performance from real-time generative media models.
You'll work across the model-serving stack, designing novel architectures, optimizing inference performance, and shaping Reactor's competitive edge in ultra-low-latency, high-throughput environments
What You'll Do Drive our frontier position on real-time model performance for diffusion models Design and implement a high-performance in-house inference engine Focus on maximizing throughput and minimizing latency and resource usage Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities Requirements Minimum Qualifications
Proficiency in building and maintaining full-stack web applications Experience with modern frameworks and languages such as Python, Next.js, and Postgres Strong understanding of API design principles, authentication strategies (OAuth, API keys), and SDK architecture Familiarity with developer tooling and platforms-understanding what makes great documentation, intuitive DX, and reliable SDKs Comfort working across the stack-from database models and cloud infrastructure to front-end components and user flows Additional beneficial experience:
Experience with OpenAPI / Swagger and API gateway design Familiarity with WebSockets, streaming APIs, or real-time collaboration tools Exposure to developer community engagement-e.g., writing tutorials, supporting integrations, or maintaining SDKs Benefits
Competitive SF salary and foundational team equity