Home › Companies › Scale AI › Infrastructure Software Engineer, Enterprise GenAI
Infrastructure Software Engineer, Enterprise GenAI
Scale AI · San Francisco, CA; New York, NY · Active · $216,000–$270,000 / day · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Scale AI |
| Title | Infrastructure Software Engineer, Enterprise GenAI |
| Normalized title | - |
| Department / team | Enterprise Engineering |
| Location | San Francisco, CA, United States |
| Work model | - |
| Employment type | - |
| Salary | $216,000–$270,000 / day |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-02-24 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Scale AI. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Enterprise Engineering. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Scale AI |
| Source | 478b1bfa-4300-406a-af8f-46743fd1575c |
| ATS provider | Greenhouse |
Description
Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment.
The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.
What You’ll Do:
Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs.
Deliver experiments at a high velocity and level of quality to engage our customers
Work across the entire product lifecycle from conceptualization through production
Be able, and willing, to multi-task and learn new technologies quickly
What We’re Looking For:
4+ years of full-time engineering experience, post-graduation
Experience scaling products at hyper growth startups
Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
Proficient in Python or Javascript/Typescript, and SQL
Experience with Kubernetes
Experience with major cloud providers (AWS, Azure, GCP)
Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 — $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision .
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Full job record
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| Source ID | 478b1bfa-4300-406a-af8f-46743fd1575c |
| Board ID | 478b1bfa-4300-406a-af8f-46743fd1575c |
| Provider | greenhouse |
| Provider Job Key | 4665557005 |
| Title | Infrastructure Software Engineer, Enterprise GenAI |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco, CA; New York, NY |
| Department | Enterprise Engineering |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 — $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period b |
| Salary Min | 216,000 |
| Salary Max | 270,000 |
| Salary Currency | USD |
| Salary Period | day |
| Source URL | https://job-boards.greenhouse.io/scaleai/jobs/4665557005 |
| Apply URL | https://job-boards.greenhouse.io/scaleai/jobs/4665557005 |
| First Seen At | 2026-05-29 22:40:44Z |
| Last Seen At | 2026-06-06 20:10:24Z |
| Last Checked At | 2026-06-06 20:10:24Z |
| Last Changed At | 2026-05-29 22:40:44Z |
| Inactive At | — |
| Source Posted At | 2026-02-24 00:15:38Z |
| Source Updated At | 2026-05-26 23:28:58Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=scaleai/date=2026-06-06/2026-06-06T20-10-23-787Z-6d82c7039f531644c5f888459c80edca53c38f0590093c71c74965c13481d850.json |
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