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# Founding Software Engineer

- **Company:** Tamarind Bio Inc.
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Computational Biology, Nvidia CUDA, DevOps, Amazon DynamoDB, Human-Computer Interaction, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Next.js, Web Applications, Graphics Processing Unit (GPU), Pytorch, ReactJS, Slurm, Machine Learning Operations, Front End Software Development, Docker
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/founding-software-engineer-tamarind-bio-8134060

## About the Role

* Adaptability and openness to work on diverse problems (e.g. batch HPC scaling, frontend development, automated fine-tuning…)
 * AWS DevOps (DynamoDB, EC2, S3, docker, etc.) and MLOps (CUDA, Conda, Tensorflow, PyTorch)
 * Front-end development (React/Vercel)
 * Willingness to learn about biology-ML models
 * Located in the SF Bay Area or able to relocate to the Bay Area

Pluses:

 * Experience with AI/ML models across various architectures and environments

## Description

We're hiring three exceptional Founding Software Engineers to help us scale the computational biology platform that powers our drug discovery pipeline.

In this role, you'll collaborate closely with the founders to design, build, and scale our infrastructure, APIs, and web interface. You'll own major pieces of our stack end-to-end - from architecture to deployment - and ship features that directly impact scientists and customers.

You'll be responsible for maintaining and expanding the core systems that underpin our computational biology tooling, ensuring reliability, scalability, and performance as we grow.

This is a deeply collaborative and customer-facing role. You'll work directly with users to understand their needs, translate feedback into product improvements, and deliver elegant solutions that accelerate their research.

Techstack:

 * Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs & web apps.

Week in the Life:

 * Partner with founders on product decisions, scope experiments, and ship quickly
 * Build/operate services (infra + ML + web) and iterate with customer feedback
 * Mix of coding, design reviews, and practical deployment work
 * Onsite expectation: Team currently onsite in SF ~5 days/week., Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We deal with problems ranging from scaling ML inference on AWS for hundreds of GPUs to dissecting pdb files with Biopython. We deploy a wide range of open source ML models for customers, navigating between Docker containers, Colab notebooks, bash scripts, slurm jobs, and more.


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