Edison Scientific
Principal Full-Stack Engineer
San Francisco, CA · Principal
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$21,187 more — $221,187 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,187 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that.
- You'll work across the stack, with a strong emphasis on backend systems- designing and evolving services, APIs, data pipelines, and infrastructure- while also contributing to critical user-facing workflows.
- This role is on-site at our San Francisco office in the Dogpatch neighborhood.
Responsibilities
- Architect, design, implement, and maintain backend services, APIs, and databases that power the scientific discovery platform.
- Drive technical decisions across the stack, balancing scalability, reliability, security, and developer velocity.
- Lead the design and evolution of data pipelines supporting AI agents and research workflows.
- Collaborate closely with engineering, design, and research teams to scope, plan, and ship new AI-driven capabilities.
- Mentor and support other engineers, raising the technical bar and fostering a strong engineering culture.
- Act as a trusted technical partner in a highly collaborative team working at the frontier of AI for science.
- you'll influence architectural direction, establish engineering best practices, and partner closely with frontend engineers, designers, and researchers to deliver robust, end-to-end solutions.
- At Edison Scientific, full-stack engineering at the senior level is about technical ownership and leverage- understanding how complex systems interact, making sound architectural tradeoffs, and building foundations that allow teams and science to move faster.
- Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.
Requirements
- 5+ years of professional software engineering experience, with significant experience across backend systems and full-stack development.
- Deep proficiency in one or more backend languages (e.g., Python, Node.js), with a strong track record of designing production systems.
- Strong working knowledge of modern frontend frameworks (e.g., React, Next.js) and how frontend and backend systems interact at scale.
- Experience with data-intensive platforms, scientific computing, or ML/AI infrastructure.
- Prior experience in startups or small teams with significant architectural ownership and ambiguity.
- Experience scaling systems, teams, or platforms through periods of rapid growth.
- Extensive experience designing, building, and evolving APIs (FastAPI, REST
- Expertise with relational and/or document databases (PostgreSQL, MySQL, MongoDB, or similar), including schema design and performance considerations.
- Proven experience building and maintaining CI/CD pipelines, automated testing strategies, and observability systems.
- Ability to operate autonomously, make sound technical judgments, and drive projects from concept through production.
- Strong communication skills and experience collaborating across disciplines in fast-moving environments.
- Bonus points for
Nice to have
- GraphQL a plus).
- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker
- Kubernetes preferred).
Compensation
- $200,000- $350,000 • Offers equity
- Competitive salary and equity
- Full healthcare coverage - we pay 100% of premiums for you and your dependents
Benefits
- Full healthcare coverage - we pay 100% of premiums for you and your dependents
- Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
- $300 health and wellness benefit
Company info
- This position is part of the Platform team.
This listing is sourced directly from Edison Scientific's careers page and normalized into a canonical job model.