$148,000–$222,000
Infrastructure Software Engineer, Enterprise GenAI
Posted by Scale AI · open on Greenhouse as of
$180,000–$225,000San Francisco, CA +2Full-time
Build and scale core infrastructure for Scale's enterprise GenAI platform, enabling it to run across major cloud providers and integrate with customer data environments.
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At a glance
Posted base pay
$180K–$225KAbove the median
Midpoint $203K · median $190K
Median $190K
This job$180K–$225KSenior FDE postings1,849 postings · middle 50% of posted pay$160K–$220KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept
- Implementation
- Operations (not covered)
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Senior
- Role
- Individual contributor
What they ask for
Experience
Background
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The job description from Scale AI
Posted by Scale AI on
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 or similar fast paced environments
- 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:
Scale is known for its talent density, but it’s not just about raw intelligence. It’s about being a great teammate, caring deeply about the work, and driving real impact. We want to hire people who take pride in what they build and are energized to collaborate with like-minded peers.
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:
$180,000—$225,000 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 accommodations@scale.com. 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.
About Scale AI
Scale AI provides training data, model evaluations, and full-stack AI applications for frontier labs, enterprises, and governments.
Late-stage private · 1000–2000 people
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