Biohub

Biohub

Staff Software Engineer, Data Infrastructure, AI Compute Platform

Redwood City, CA (Hybrid) · Staff+

Sponsorship not specified$214k-$295kDetected 50 days ago
PythonJavaGoC++C#RubyPHPScalaAWSGCPKubernetesTerraformAnsiblePrometheusDatadogMachine LearningData AnalysisData EngineeringResearchCollaborationProblem Solving

About the role

  • The Data Engineering and Infrastructure team brings AI/ML technology and Data to the table in new ways to help drive AI powered solutions that accelerate Biomedical research.
  • We are uniquely positioned to design, build, and scale software systems to help scientists better address the myriad challenges they face.
  • We are supporting researchers and scientists around the world by developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.

Responsibilities

  • Develop and maintain the tooling and infrastructure that drives the entire data lifecycle at Biohub, from ingestion and processing to secure storage and access.
  • Your work will directly support cutting-edge research, AI model training, and data analysis across the organization.
  • Partner with researchers and engineers across various domains, including genetics, imaging, and scientific literature.
  • Collaboration & Problem Solving: Proven ability to work with diverse, cross-functional stakeholders and teams to navigate complex technical challenges, adapt to evolving requirements, and drive impactful solutions.
  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Relocation support for employees who need assistance moving

Requirements

  • Experience with data governance, metadata, and data lineage tooling like Open Lineage or Marquez.
  • Extensive experience with scaling containerized applications on Kubernetes or Mesos, with a focus on secure custom containers, replicability and portability.
  • Data Management and Development Operations: Experience with data governance, metadata, and data lineage tooling like Open Lineage or Marquez.
  • Containerization: Extensive experience with scaling containerized applications on Kubernetes or Mesos, with a focus on secure custom containers, replicability and portability.

Nice to have

  • Strong experience with AWS, GCP, or Azure.
  • Familiarity with Infrastructure as Code (e.g., Terraform, Ansible) and monitoring tools (Datadog, Prometheus).
  • Cloud & Infrastructure: Strong experience with AWS, GCP, or Azure.

Skills

  • Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
  • The Opportunity

Compensation

  • The Redwood City, CA base pay range for a new hire in this role is $214,000 - $295,000.
  • New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time.
  • Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
  • This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
  • Better Together
  • As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment.

Benefits

  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Education & Experience: BS, MS, or PhD in Computer Science or a related technical discipline, or equivalent experience.
  • Knowledge of data pipelines that feed Deep Learning model training that makes use of accelerated computing systems (GPUs as well as ASICs, FPGAs, TPUs)
  • Benefits for the Whole You
  • To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

Company info

  • Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding.
  • You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology-developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.
  • Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships.
  • Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.
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This listing is sourced directly from Biohub's careers page and normalized into a canonical job model.