Sr. Software Engineer, wanted by Insitro, Inc. in South San Francisco, CA. Designing and architecting infrastructure solutions for our petabyte-scale cellular data platform by defining technical specifications for system architectures, leading design reviews. Leading cross-functional product development and strategic planning by shaping product vision in collaboration with therapeutic area stakeholders and research scientists. Designing and deploying MLOps infrastructure and model deployment frameworks for both batch processing workflows and real-time API-based online services. Conducting engineering mentorship by providing technical guidance, conducting technical interviews, and driving adoption of software best practices. Provisioning and optimizing cloud infrastructure using infrastructure-as-code. Providing technical support through on-call firefighting rotations, involving monitoring and responding to production incidents.
Must have a Bachelor’s degree in Computer Science or a related field plus three (3) years of experience in a related occupation. Must also have three (3) years of experience in software development using Python and the scientific programming ecosystem including numpy, pandas, and scipy; three (3) years of experience in writing and maintaining data & machine learning pipelines for processing and analyzing large-scale biological datasets such as single-cell RNA-seq, microscopy image data, or genomics using workflow orchestration tools such as Redun; three (3) years of experience in leveraging data engineering solutions such as relational databases and storage formats such as FASTQ, VCT, or H5AD; three (3) years of experience with DevOps practices: implementing CI/CD solutions with tools including pytest, GitHub Actions, and AWS CodeBuild; using containerization tools including Docker; developing on cloud platforms including AWS or Azure; and development in Linux-based environments; and three (3) years of experience with MLOps practices: using model training libraries such as PyTorch, JAX, or Lightning; using publishing tools such as Hugging Face or Weights & Biases; and deploying to production environments with frameworks such as Kubernetes.
$161,637-$181,000/yr. Please send resume to: ta-resumes@insitro.comand refer to:Job Req. 2026-insitro-002P
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $161,637 - $181,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.
In addition, insitro also provides our employees:
401(k) plan with employer matching for contributions
Excellent medical, dental, and vision coverage as well as mental health and well-being support
Open, flexible vacation policy
Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)
Quarterly budget for books and online courses for self-development
Support to attend professional conferences that are meaningful to your career growth and role's responsibilities
New hire stipend for home office setup
Monthly cell phone & internet stipend
Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid
Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area
insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.
Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com, and if in doubt, contact us at info@insitro.com.
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About insitro
insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com.
insitro