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We are seeking a Software Engineer to join our Platform team to design, build, and deploy the AI infrastructure that powers our world-class research team.
In this role, you’ll collaborate closely with AI Scientists and other engineers to enable the effective use of thousands of GPUs for training and inferencing cutting-edge biological foundation models.
This role spans a range of problems and skillsets, ranging from MLOps of cutting-edge GPU clusters, to backend engineering of control plane APIs.
Our ideal candidate has an opinion about slurm or kubernetes for model training, cares about maximizing bandwidth from the storage subsystems to the GPU, and can build the API paved path for submitting training jobs that are able to dispatch to multiple clusters.
Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development.
The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets.
It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification.
Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development.
Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
We are seeking a Software Engineer to join our Platform team to design, build, and deploy the AI infrastructure that powers our world-class research team.
In this role, you’ll collaborate closely with AI Scientists and other engineers to enable the effective use of thousands of GPUs for training and inferencing cutting-edge biological foundation models.
This role spans a range of problems and skillsets, ranging from MLOps of cutting-edge GPU clusters, to backend engineering of control plane APIs.
Our ideal candidate has an opinion about slurm or kubernetes for model training, cares about maximizing bandwidth from the storage subsystems to the GPU, and can build the API paved path for submitting training jobs that are able to dispatch to multiple clusters.
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More from this employer
South San Francisco, USA
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and a
South San Francisco, USA
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and a
South San Francisco, USA
South San Francisco, USA
South San Francisco, USA
South San Francisco, USA
South San Francisco, USA
South San Francisco, USA
Seattle, USA
South San Francisco, USA
South San Francisco, USA
We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers.
A Summary of Benefits is available for all applicants.
We offer a competitive package that includes base salary, bonus, and equity.
The base pay range for this position is expected to be $140,000 - $215,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Xaira Therapeutics an equal-opportunity employer.
We believe that our strength is in our differences.
Our goal to build a diverse and inclusive team began on day one, and it will never end.
TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes.
Please do not forward resumes to our jobs alias or employees.
Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
Xaira Therapeutics is a private biotechnology company using artificial intelligence to discover and develop medicines.
Visit company websiteJobs and hiring trendsUSD 140000-215000 yearly
Full-time
Senior Level
Onsite
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