- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Source
- RecruiterFlow
Description
WHY SERIOUS AI EXISTS
U.S. manufacturing will not win on labor costs alone. Productivity has to improve, but most factories still operate with fragmented data, tribal knowledge, and software that takes months to deploy. We estimate that only about 2% of roughly 140,000 U.S. manufacturing plants are meaningfully AI driven today. The challenge is not inventing another AI model. It is making intelligence practical to deploy and repeatable across plants.
WHAT WE ARE BUILDING
GENESIS runs inside industrial facilities, connects machine data to production context, and supports AI agents that help operators improve uptime, quality, and output. Our infrastructure must run locally on GPUs, including in restricted and air-gapped environments. We deploy an initial line in about a week, with the aim of making the same platform repeatable across thousands of plants.
GENESIS runs inside industrial facilities, connects machine data to production context, and supports AI agents that help operators improve uptime, quality, and output. Our infrastructure must run locally on GPUs, including in restricted and air-gapped environments. We deploy an initial line in about a week, with the aim of making the same platform repeatable across thousands of plants.
THE TEAM
The founding team includes a former Director of Engineering at C3 AI, LLM post-training experience at Pryon and Labelbox, engineer #6 at Palantir Foundry, and ABB's former global head of AI and analytics across 90 markets. Everyone is expected to bring serious depth in their own domain and build directly.
The founding team includes a former Director of Engineering at C3 AI, LLM post-training experience at Pryon and Labelbox, engineer #6 at Palantir Foundry, and ABB's former global head of AI and analytics across 90 markets. Everyone is expected to bring serious depth in their own domain and build directly.
THE ROLE
This is a founding-level seat and a critical senior individual contributor role. You will own the systems that make a sophisticated AI platform run reliably on local hardware, without depending on a managed cloud. This is hands-on infrastructure engineering, not a management role.
This is a founding-level seat and a critical senior individual contributor role. You will own the systems that make a sophisticated AI platform run reliably on local hardware, without depending on a managed cloud. This is hands-on infrastructure engineering, not a management role.
- Build and operate Kubernetes-based workloads across local GPU servers and edge environments.
- Own GPU inference runtime, model serving, resource scheduling, and performance optimization.
- Design reliable local services, deployment automation, updates, monitoring, and recovery.
- Solve problems across Linux, networking, distributed systems, hardware, and application infrastructure.
- Deep, hands-on Kubernetes, Linux, containers, and production distributed systems experience.
- Real experience with GPU workloads, model inference infrastructure, or GPU orchestration.
- Strong software engineering in Python, Go, Rust, C++, or similar languages.
- Zero-to-one execution and comfort owning the full stack. On-premise or edge experience matters; robotics or industrial experience is a bonus.
COMPENSATION AND LOCATION
Starting base around $200K, with a path to $250K to $300K as we complete our next seed financing, subject to funding and individual agreement. Substantial founding-level equity, potentially around 2% for the right candidate. Based in Austin, with relocation possible within approximately six months.
Skills
PythonRustKubernetesLinuxGo