Scale AI
AI & Machine LearningDirect Greenhouse career site

Software Engineer, Frontier AI Infrastructure

Pay
$138,000 – $259,440 per year
Location
San Francisco, CA
Job type
Full-time
Level
Mid-level
Listed
30 days ago

Skills & highlights for this role

  • Secret clearance
  • backend systems design
  • cloud-native architecture
  • Kubernetes
  • Docker
  • integration testing

Also useful

  • FedRAMP
  • STIG
  • air-gapped deployment
  • AWS
  • Azure
  • GCP

You will

  • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
  • Own services or systems and define their long-term health goals, while also improving the health of surrounding components
  • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
  • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream.
  • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
  • Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Must have

  • At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance

Ideally you'd have

  • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
  • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
  • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.
  • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
  • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.
  • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.
  • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

Pay and benefits

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:

$184,000—$259,440 USD

The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:

$165,600—$233,496 USD

The base salary range for this full-time position in the location of St. Louis is:

$138,000—$194,580 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.

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 is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models.

You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing.

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 comply with the United States Department of Labor's Pay Transparency provision.

Read the original posting

From Scale AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Software Engineer, Frontier AI Infrastructure role at Scale AI?

The Software Engineer, Frontier AI Infrastructure posting at Scale AI states compensation of $138,000 – $259,440 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Scale AI's official career site.

Where is the Software Engineer, Frontier AI Infrastructure job at Scale AI located?

This Software Engineer, Frontier AI Infrastructure position at Scale AI is located in San Francisco, CA. Always check Scale AI's application page for specific state eligibility or relocation policies.

What qualifications are required for Software Engineer, Frontier AI Infrastructure at Scale AI?

For the Software Engineer, Frontier AI Infrastructure role, Scale AI highlights experience with backend systems design, cloud-native architecture, Kubernetes, Docker, integration testing. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Software Engineer, Frontier AI Infrastructure position at Scale AI?

This listing links directly to Scale AI's Greenhouse application page. You can apply directly on Scale AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.