We're building the infrastructure layer that makes scientific computing accessible to every scientist.
Temple Compute is a deep-tech company founded by Barcelona Supercomputing Center ex-researchers. Our platform (Horus) lets biotech teams, materials scientists, and AI researchers run complex simulation workflows without touching a cluster config file. Auto-provisioned HPC or cloud, wherever compute is available.
You'll own features from first commit to production. We build fast, identify friction, and fix it systematically.
1. Build the workflow engine
Design and ship the backend that handles distributed workflow execution, job scheduling, state management, and failure recovery across cloud and HPC environments. This is not CRUD. Workflows are long-running, stateful, and run on infrastructure you don't fully control.
2. Build the interface scientists actually use
Develop the visual workflow editor that replaces the command line for researchers. Real-time job monitoring, drag-and-drop pipeline construction, result visualization. The UX has to be clean enough that a biologist with no DevOps background can use it on day one.
3. Plugin architecture and marketplace
Design the SDK and plugin framework that lets third-party developers distribute their simulation tools as native Horus components. Think extension system, not just API.
4. Ship and own
You design the feature, build it, deploy it, and monitor it. When deployment becomes painful, you automate it. When the architecture shows friction, you fix it before it becomes technical debt.
What you need
Production-grade backend experience in Python, FastAPI or Flask, REST API design.
Strong frontend. React, TypeScript, modern tooling (Vite, React, TypeScript)
Relational databases at scale. SQLModel / SQLAlchemy, PostgreSQL, schema design, query optimization
Docker and containerized environments
Authentication and security fundamentals. OAuth2, SSO, attribute based access control (ABAC)
Nice to have
Scientific software or research tooling background
Workflow engines or pipeline orchestration (Nextflow, Airflow, Prefect)
Real-time systems or job monitoring interfaces
What founding engineer means here
You co-design the backend architecture that handles distributed workflow execution
You build the visual workflow editor that replaces command-line HPC for scientists
You hold real equity in a startup at pre-seed
Direct line to the founder.
Impact
Your code will directly accelerate research on different areas such as life sciences, material science, or AI development.
Growth
Work directly with the founders and gain hands-on experience in AI, bioinformatics, and HPC.
Learn more at our website:
#J-18808-Ljbffr
or continue with email
Temple Compute is a deep-tech company founded by Barcelona Supercomputing Center ex-researchers. Our platform (Horus) lets biotech teams, materials scientists, and AI researchers run complex simulation workflows without touching a cluster config file. Auto-provisioned HPC or cloud, wherever compute is available.
You'll own features from first commit to production. We build fast, identify friction, and fix it systematically.
1. Build the workflow engine
Design and ship the backend that handles distributed workflow execution, job scheduling, state management, and failure recovery across cloud and HPC environments. This is not CRUD. Workflows are long-running, stateful, and run on infrastructure you don't fully control.
2. Build the interface scientists actually use
Develop the visual workflow editor that replaces the command line for researchers. Real-time job monitoring, drag-and-drop pipeline construction, result visualization. The UX has to be clean enough that a biologist with no DevOps background can use it on day one.
3. Plugin architecture and marketplace
Design the SDK and plugin framework that lets third-party developers distribute their simulation tools as native Horus components. Think extension system, not just API.
4. Ship and own
You design the feature, build it, deploy it, and monitor it. When deployment becomes painful, you automate it. When the architecture shows friction, you fix it before it becomes technical debt.
What you need
Production-grade backend experience in Python, FastAPI or Flask, REST API design.
Strong frontend. React, TypeScript, modern tooling (Vite, React, TypeScript)
Relational databases at scale. SQLModel / SQLAlchemy, PostgreSQL, schema design, query optimization
Docker and containerized environments
Authentication and security fundamentals. OAuth2, SSO, attribute based access control (ABAC)
Nice to have
Scientific software or research tooling background
Workflow engines or pipeline orchestration (Nextflow, Airflow, Prefect)
Real-time systems or job monitoring interfaces
What founding engineer means here
You co-design the backend architecture that handles distributed workflow execution
You build the visual workflow editor that replaces command-line HPC for scientists
You hold real equity in a startup at pre-seed
Direct line to the founder.
Impact
Your code will directly accelerate research on different areas such as life sciences, material science, or AI development.
Growth
Work directly with the founders and gain hands-on experience in AI, bioinformatics, and HPC.
Learn more at our website:
#J-18808-Ljbffr
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