Senior Software Engineer (Customer Facing), Federal

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Join Scale AI as a Senior Software Engineer (Customer Facing), Federal

Scale AI is actively seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable and high-performance platform forms the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance.

Your Key Responsibilities

  • Collaborate directly with customers to understand their challenges and translate them into features for Scale’s platform.
  • Expect to travel or relocate to a key customer geographic location more than 50% of the time.
  • Work with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
  • Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
  • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
  • Engage actively with customers, working closely with stakeholders to understand requirements and deliver innovative solutions.

Possessing and maintaining an active US Government Clearance is a requirement (minimum of a Secret clearance).

Preferred Qualifications

  • Proven success as a hybrid customer-facing engineer or similar role, wearing multiple hats.
  • Experience in developing with Python and JavaScript or other modern software languages.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
  • Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines. Understanding of data modeling, data warehousing, and data governance principles.
  • 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.

Compensation & 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, determined by work location and additional factors, including job-related skills, experience, 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 will 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 an equity grant.

Beneficial perks include but are 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.

For pay transparency purposes, the base salary range for this full-time position in the following locations is:

  • San Francisco, New York, Seattle: $206,800—$259,440 USD
  • St. Louis: $155,100—$194,580 USD

About Us

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to accelerate this transition across industries, 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 leading AI innovators such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are excited to expand our team to further the development of AI applications.

Equal Opportunity Employer

We believe that everyone should be able to bring their whole selves to work, which is why 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 are dedicated to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance or