Scale AI, Inc.
Mission Software Engineer, Public Sector
Scale AI, Inc., San Diego, California, United States, 92189
Overview
Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join the Federal Engineering team. You will support government customers by scoping and developing onsite solutions. Our scalable, high-performance platform underpins these customer solutions, and your work will design and implement systems that integrate with existing customer workflows.
Responsibilities
Work directly with customers to understand their problems and translate those into features in Scale's platform.
Be open to >50% travel or relocation to a key customer geographic location.
Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the needs of government agencies operating in secure environments.
Implement end-to-end data integrations, syncing customer data to Scale's platform and back.
Deploy and maintain Scale software at customer sites.
Develop customer-requested features and work closely with them to ensure customer satisfaction.
Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their AI initiatives.
Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.
Qualifications
Track record of success as a hybrid customer-facing engineer or forward deployed software engineer, with ability to adapt to different roles.
Experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
Cloud-native technologies: 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.
Linux experience: Shell scripting and operating system fundamentals.
Networking experience: Understanding of networking technologies and configurations (ports, protocols, etc.).
Data engineering: Knowledge of ETL processes and experience building data pipelines; understanding of data modeling, data warehousing, and data governance principles.
Problem solving: Strong analytical and problem-solving skills to address complex challenges and devise effective solutions.
Compensation and Location Compensation packages at Scale include base salary, equity, and benefits. The salary ranges shown reflect minimum and maximum targets for new hires, influenced by location and other factors. Details will be provided by your recruiter for your preferred location during the hiring process. Eligible employees may receive equity-based compensation, subject to Board approval. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additional benefits such as a commuter stipend may apply.
Base salary ranges by location (for transparency):
San Francisco, NY, Seattle: $184,000 — $292,560 USD
Washington DC, Texas, Colorado: $165,600 — $263,304 USD
Hawaii/St. Louis: $138,000 — $219,420 USD
About Us and Equal Opportunity At Scale, we believe the transition from traditional software to AI is a pivotal shift. We power the world’s most advanced LLMs, generative models, and computer vision models, trusted by OpenAI, Meta, Microsoft, government agencies, and enterprises. We are committed to an inclusive, equal opportunity workplace regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.
We provide reasonable accommodations in the application process for applicants with disabilities. For assistance, please contact accommodations@scale.com. Please review the Know Your Rights poster and Pay Transparency provisions where applicable. We collect, retain, and use personal data for recruitment in accordance with our policies and privacy notice.
Note:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role.
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Responsibilities
Work directly with customers to understand their problems and translate those into features in Scale's platform.
Be open to >50% travel or relocation to a key customer geographic location.
Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the needs of government agencies operating in secure environments.
Implement end-to-end data integrations, syncing customer data to Scale's platform and back.
Deploy and maintain Scale software at customer sites.
Develop customer-requested features and work closely with them to ensure customer satisfaction.
Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their AI initiatives.
Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.
Qualifications
Track record of success as a hybrid customer-facing engineer or forward deployed software engineer, with ability to adapt to different roles.
Experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
Cloud-native technologies: 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.
Linux experience: Shell scripting and operating system fundamentals.
Networking experience: Understanding of networking technologies and configurations (ports, protocols, etc.).
Data engineering: Knowledge of ETL processes and experience building data pipelines; understanding of data modeling, data warehousing, and data governance principles.
Problem solving: Strong analytical and problem-solving skills to address complex challenges and devise effective solutions.
Compensation and Location Compensation packages at Scale include base salary, equity, and benefits. The salary ranges shown reflect minimum and maximum targets for new hires, influenced by location and other factors. Details will be provided by your recruiter for your preferred location during the hiring process. Eligible employees may receive equity-based compensation, subject to Board approval. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additional benefits such as a commuter stipend may apply.
Base salary ranges by location (for transparency):
San Francisco, NY, Seattle: $184,000 — $292,560 USD
Washington DC, Texas, Colorado: $165,600 — $263,304 USD
Hawaii/St. Louis: $138,000 — $219,420 USD
About Us and Equal Opportunity At Scale, we believe the transition from traditional software to AI is a pivotal shift. We power the world’s most advanced LLMs, generative models, and computer vision models, trusted by OpenAI, Meta, Microsoft, government agencies, and enterprises. We are committed to an inclusive, equal opportunity workplace regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.
We provide reasonable accommodations in the application process for applicants with disabilities. For assistance, please contact accommodations@scale.com. Please review the Know Your Rights poster and Pay Transparency provisions where applicable. We collect, retain, and use personal data for recruitment in accordance with our policies and privacy notice.
Note:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role.
#J-18808-Ljbffr