GenBio AI

GenBio AI is building the world's first AI-Driven Digital Organism (AIDO), a system of multiscale foundation models designed to predict, simulate, and program biology across all levels, from molecules to individuals. Their approach integrates diverse biological data modalities (DNA, RNA, proteins, cells) and leverages advanced AI techniques to address fundamental questions in drug discovery, bio-engineering, and disease prevention. GenBio AI differentiates itself by creating an integrated system that captures complex interactions across biological scales, enabling solutions for data-scarce environments and a proactive, simulation-driven approach to biological research. The company aims to make biology programmable, accelerating breakthroughs in personalized medicine, precision agriculture, and environmental sustainability.

AIBio-engineeringBiologyDigital OrganismDrug DiscoveryFoundation ModelsPersonalized MedicineSimulationgenbio.ai

GenBio AI

AIBio-engineeringBiologyDigital OrganismDrug DiscoveryFoundation ModelsPersonalized MedicineSimulationgenbio.ai

HQPalo Alto, US

Team Size51

Open Jobs42

Total Funding-

Latest FundraiseUnknown

Join the Team

CUDA Kernels Engineer

On-SitePalo Alto, CA, US

On-Site • Palo Alto, CA, US

Headquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Machine Learning Engineer

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Data Scientist

Part-timeManchester, GB

Part-time • Manchester, GB

Product Designer

ContractLondon, GB

Contract • London, GB

DevOps Engineer

Part-timeNew York, US

Part-time • New York, US

AI Researcher

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

DevOps Engineer

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

TL;DR

Company Overview

Funding Track Record

Founders

What we do

GenBio AI

AIBio-engineeringBiologyDigital OrganismDrug DiscoveryFoundation ModelsPersonalized MedicineSimulationgenbio.ai

GenBio AI

AIBio-engineeringBiologyDigital OrganismDrug DiscoveryFoundation ModelsPersonalized MedicineSimulationgenbio.ai

HQPalo Alto, US

Team Size51

Open Jobs42

Total Funding-

Latest FundraiseUnknown

Join the Team

CUDA Kernels Engineer

On-SitePalo Alto, CA, US

On-Site • Palo Alto, CA, US

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Machine Learning Engineer

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Data Scientist

Part-timeManchester, GB

Part-time • Manchester, GB

Product Designer

ContractLondon, GB

Contract • London, GB

DevOps Engineer

Part-timeNew York, US

Part-time • New York, US

AI Researcher

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

DevOps Engineer

Part-timeNovi Sad, RS

Part-time • Novi Sad, RS

Key Responsibilities

Develop high-performance GPU/CPU kernels and make trade-offs that maximize end-to-end hardware utilization
Utilize knowledge of hardware features and performance characteristics to make aggressive optimizations
Work with our other platform teams to deploy your kernels, manage our training uptime, and find opportunities for optimization
Develop low-precision algorithms that deliver high performance with little loss of ML accuracyWork with ML engineers to develop model architectures that are amenable to efficient training and inference
Work with hardware vendors and advise on HW/SW co-design

A strong coder with excellent skills in C/C++ and Python
Have a deep understanding of GPU, CPU, or other AI accelerator architectures
Have experience writing and optimizing compute kernels with CUDA or similar languages
Are familiar with LLM (and/or other foundation model) architectures and training infrastructure
Have experience driving ML accuracy with low-precision formatsHave 1+ years of relevant industry experience
Get a great deal of satisfaction with every percentage point in performance improvement
Senior Engineer for Ph.D. with 2-3 years working experience or Engineer with M.S. with 3-5 year working experience

Preferred Qualifications

PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other Systems
Experience building compilers
Experience working with hardware developers

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.