Member of Technical Staff - Software Engineer
AI summary of the role
Valthos is hiring a software engineer to design and build a platform that brings frontier biological AI methods to federal and commercial end users.
What you’ll do
- Design and build high-scale, opinionated APIs that are data/GPU intensive
- Prototype and develop interactive workflow UIs for life-science users
- Build distributed systems that efficiently process large-scale user data using CPUs and GPUs
- Design and build Valthos storage and search systems with rapidly increasing scale and latency requirements
What you’ll bring
- Experience implementing or working on distributed systems and associated technologies (Kubernetes, Docker, etc)
- Working knowledge of the full application stack (Web UX frameworks, API design, data modeling, RDBs)
- Preference for working in a fast-paced, autonomous environment
Technologies
Kubernetes · Docker · AWS · REST APIs · parquet · pandas · GPU · distributed systems · data pipelines · bioinformatics
About Valthos
Builds AI systems that analyze biological sequences and help government and life-sciences teams design countermeasures in real time.
Seed
Source and classification
Internal deployment & tooling · Evidence for this classification:
Software Engineer Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape. We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use. We are seeking software engineers to design and implement a platform that will allow Valthos to bring frontier methods to the end users, scientific and
More from the job description
Software Engineer Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape. We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use. We are seeking software engineers to design and implement a platform that will allow Valthos to bring frontier methods to the end users, scientific and technical. Your day-to-day experience will range from implementing complex distributed systems, managing container-based scalable infrastructure, building REST APIs, integrating open source solutions, understanding the needs of our users and adapting our software to suit. You'll collaborate closely with technical and non-technical counterparts to understand our developers' and customers' problems and build software and infrastructure to tackle them. The Role Work with the AI Engineers and Computa [... source excerpt omitted ...] maintain the backend infrastructure required for scaling out storage and compute Design and build Valthos storage and search systems. Expect rapidly increasing scale and latency requirements. Develop and maintain the systems and services that underpin the productivity of our development teams. Everything from our internal dev environments to managing automated deployments to our production infrastructure. Qualifications (required) Experience implementing or working on distributed systems and their associated technologies (Kubernetes, Docker, etc) Working knowledge of the full application stack (Web UX frameworks, API design and development, data modeling, RDBs, etc). Preferenc
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