Software Engineer – Computational Biology & AI – New York / San Francisco – $DOE

Software Engineer – Computational Biology & AI – New York / San Francisco – $DOE

Location: New York or San Francisco, USA (On-site)

Salary: Competitive + Benefits

Company Overview

An innovative applied biological intelligence company developing advanced software and biological AI systems for federal and commercial applications.

The business brings together software engineering, computational biology and AI to build technology capable of processing complex biological data and supporting users working on critical scientific and national security challenges.

As the platform continues to scale, they are seeking Software Engineers to help build the distributed systems, cloud infrastructure, APIs and user-facing applications that bring these technologies to end users.

The Role

Working closely with AI Engineers, Computational Biologists and technical users, you will design and build scalable software and infrastructure supporting data and GPU intensive workloads.

This is a highly technical, hands-on role spanning backend engineering, distributed systems, cloud infrastructure, APIs, data processing and interactive scientific applications.

Key Responsibilities

• Design and build high scale APIs supporting data and GPU intensive workloads

• Develop distributed systems capable of processing large scale datasets using CPUs and GPUs

• Build and maintain scalable cloud infrastructure for data, storage and compute

• Develop REST APIs and services across the application stack

• Design and build storage and search systems as platform requirements scale

• Develop interactive workflow interfaces for scientific and technical users

• Build data visualisation tools to communicate complex model results and supporting context

• Develop SDKs and tooling for technical users

• Work with Kubernetes, Docker and container based infrastructure

• Build and maintain secure cloud environments for sensitive data and results

• Develop data pipelines and asynchronous processing systems

• Support internal developer infrastructure, automated deployments and production environments

• Work directly with users and cross functional teams to understand technical requirements and translate them into software solutions

About You

• Strong software engineering background with experience building production systems

• Experience working with distributed systems and technologies such as Kubernetes and Docker

• Strong understanding of the full application stack, including frontend frameworks, API development, data modelling and relational databases

• Experience building scalable backend systems and infrastructure

• Comfortable working in a fast paced and highly autonomous environment

• Strong problem solving and communication skills

• Able to work closely with technical and non technical stakeholders

Desirable Experience

• Experience with AWS or other cloud infrastructure providers

• Experience working with large scale datasets and technologies such as Parquet and Pandas

• Experience developing data pipelines and asynchronous data processing systems

• Experience working with biological data, sequences or bioinformatics tools

• Experience with GPU intensive workloads

• Contributions to open source projects

• Experience working within AI, machine learning or computational biology environments

What’s on Offer

• Opportunity to work at the intersection of software engineering, AI and computational biology

• Direct involvement in building frontier technology from the ground up

• Highly technical and autonomous engineering environment

• Close collaboration with experienced engineers and computational biologists

• Opportunity to work on complex distributed systems and large scale data infrastructure

• Significant ownership and impact within a rapidly growing company

• Competitive salary and benefits package

If this role is of interest, please apply via LinkedIn or email [email protected]