Software Engineer, Cloud Infra

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Join Scale AI as a Software Engineer, Cloud Infrastructure

At Scale AI, we're at the forefront of the AI revolution. Our mission is to accelerate the shift from traditional software to AI across every industry. We believe that AI has the potential to exponentially augment human intelligence, empowering individuals with personal tutors, coaches, assistants, and more. As leading platform companies and large enterprises race to build and integrate AI technologies, Scale's products are powering the most advanced Large Language Models (LLMs) and generative AI models worldwide.

Our products, including the Generative AI Data Engine, SGP, Donovan, and others, are at the core of this transformation. They rely on world-class reinforcement learning through human feedback (RLHF), human data generation, model evaluation, safety, and alignment. This innovation has set ChatGPT apart in the competitive landscape.

About the Role

As a Software Engineer, Cloud Infrastructure, you will play a crucial role in designing and developing core cloud infrastructure platforms and systems. You'll support data orchestration, data abstraction, data pipelines, identity and access management, and underlying infrastructure. This role offers a unique opportunity to be at the forefront of the AI industry, collaborating with enterprises, startups, governments, and leading tech companies.

Responsibilities:

  • Manage the underlying cloud infrastructure stack on AWS, utilizing Kubernetes, Docker, Terraform, Helm, and other common tools and frameworks.
  • Drive the architecture, design, implementation, and support of foundational platforms and systems, working closely with stakeholders to understand and refine requirements.
  • Collaborate with cross-functional teams to define, design, and deliver new features.
  • Identify opportunities for process enhancements, tool upgrades, and cost optimizations within the current infrastructure practices.
  • Present technical information to teams and stakeholders, providing guidance on development processes and technologies.

Qualifications:

  • 5+ years of full-time engineering experience with a focus on back-end systems.
  • Extensive experience supporting cloud-based infrastructure (AWS preferred).
  • Deep understanding of distributed systems, cloud platforms, and software development best practices.
  • Proven track record of leading successful projects with increasing scale and scope.
  • Excellent communication and collaboration skills, capable of translating complex technical concepts to non-technical stakeholders.
  • Advanced Linux troubleshooting skills, including experience with logging, telemetry systems, IAM management, TCP/IP, and OSI proficiency.
  • Strong knowledge of software engineering best practices and CI/CD tooling.

Preferred Qualifications:

  • Experience with Azure and GCP, and GPU-based compute.
  • Experience scaling products in hyper-growth startups.
  • Excitement to work with AI technologies.

Compensation and Benefits

At Scale AI, we offer competitive compensation packages, including base salary, equity, and benefits. The salary range for this full-time position in San Francisco is $188,000—$225,600 USD. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additional benefits may include a commuter stipend.

About Scale AI

Scale AI is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by major AI companies like OpenAI, Meta, and Microsoft, government agencies such as the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We are proud to be an affirmative action employer and 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 provide reasonable accommodations to applicants with physical and mental disabilities. If you need assistance or a reasonable accommodation, please contact us at [email protected].

Please note: We collect, retain, and use personal data for our professional business purposes, including notifying you of job opportunities and sharing with our affiliates. 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.