Location: Palo Alto, California (in person)

Compensation: $200,000 - $300,000 base salary + equity

Relocation: Relocation assistance available

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This page is now archived. Please go to primateria.com/careers for the most up to date information.

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About Primateria

Primateria is an AI-native scientific research lab.

We are building AI systems that turn scientific questions into computationally testable problems, run experiments, learn from failures, and recursively work toward answers.

Our current work focuses on quantum chemistry and molecular simulation. The larger goal is to build systems capable of performing increasingly large portions of computational scientific research. We are looking for an engineer to help us build that system.

The role

A scientist takes an ambiguous objective, decomposes it into tractable questions, chooses methods, writes code, runs experiments, interprets the results, diagnoses failures, and decides what to try next. Your job is to make that loop executable by machines.

You will build the infrastructure connecting frontier AI models to scientific software, simulators, code execution, datasets, evaluators, and large scale compute.

The goal is not an AI that knows science or can perform literature retrieval. It is an AI system that can do scientific work.

What you will do

• Build agents that turn open ended scientific objectives into computational research workflows.
• Decompose difficult scientific problems into smaller computationally verifiable subproblems.
• Build systems for launching experiments, inspecting results, diagnosing failures, and deciding what to run next.
• Integrate our electronic structure models and other simulators as tools and verifiers.
• Build evaluations that measure whether agents actually solve scientific problems.
• Build robust infrastructure for long-running jobs across GPUs and CPUs, including checkpointing, provenance, reproducibility, and failure recovery.
• Work directly with scientists to turn expert reasoning into tools, workflows, and increasingly autonomous research systems.