Overview
Scale AI is seeking a Mission Software Engineer to join our Federal Engineering team. You will support Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your work will design and implement systems that can 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 own AI initiatives.
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
- This role requires an active TS/SCI security clearance or the ability to obtain one.
Ideal 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 (AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (Docker) and container orchestration (Kubernetes) is a plus.
- Linux experience: shell scripting and operating systems knowledge.
- Networking experience: understanding of networking technologies and configurations (ports, protocols).
- Data engineering: knowledge of ETL processes and building data pipelines; understanding of data modeling, data warehousing, and data governance principles.
- Problem solving: strong analytical and problem-solving skills to understand complex challenges and devise effective solutions.
Compensation and Benefits
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary ranges vary by location and are influenced by skills, experience, interview performance, and applicable education or training. Scale employees in eligible roles are granted equity-based compensation, subject to Board approval. Your recruiter can share the specific salary range for your location during the hiring process and confirm equity eligibility. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.
Salary ranges by location (base salary): 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; Honolulu: 138,000 — 219,420 USD.
Notes
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.
About Scale: We believe AI transition is transformative and aim to accelerate AI adoption across industries. We power leading LLMs, generative models, and computer vision models, and work with government agencies and enterprises.
Equal Opportunity: We are an inclusive, equal opportunity employer. We do not discriminate based on race, color, religion, sex, national origin, sexual orientation, age, disability status, gender identity, veteran status, or other protected characteristics. If you need accommodations during the application process, contact See the Know Your Rights poster and Pay Transparency provisions for details. We collect, retain, and use personal data in accordance with our policies and privacy policy.
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