Jobs / United States / Scale AI INC
Senior Software Engineer, Platform
Scale AI INC · 🇺🇸 San Francisco, CA; New York, NY
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Scale AI INC paid sponsored hires in similar roles29 certified filings for “Software Engineer” (Software Developers) in CA: $210k–$235k, median $216k. Most were filed at wage level II (34%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Scale AI INC
The US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Scale AI INC →
About the role
Scale is building reliable AI systems for the world’s most important decisions. Our products help leading enterprises, governments, and frontier AI labs build, deploy, and evaluate AI systems at scale. The Orchestration Platform is a core technology used across the company to run durable, reliable, and scalable workflows. It powers the complex, long-running processes behind Scale’s products - from data and model-evaluation pipelines to operational systems and customer-facing workflows. As a Senior Software Engineer, you will help build and evolve this foundational orchestration platform. You will design the primitives, services, and developer experience that enable teams across Scale to author, operate, observe, and safely scale distributed workflows. This is a high-leverage role for an engineer excited by distributed systems, reliability, and platform infrastructure used by many internal teams. You will: • Lead the architecture, design, implementation, and operation of Scale’s core orchestration platform. • Build durable workflow infrastructure using technologies such as Temporal, Cadence, Kubernetes, and cloud-native systems. • Define platform primitives and APIs for scheduling, retries, state management, task execution, observability, and workflow lifecycle management. • Partner with product, infrastructure, data, and application teams to understand workflow needs and turn them into reusable platform capabilities. • Improve the reliability, scalability, security, and developer experience of services that run critical company workflows. • Establish technical standards and best practices for distributed workflow development, deployment, testing, and incident response. • Drive cross-functional technical decisions and communicate platform direction clearly to engineers and stakeholders. Ideally, you have: • 5+ years of full-time software engineering experience, with a focus on backend, infrastructure, and distributed systems. • Experience building and operating production systems with strong requirements for reliability, availability, and scale. • Deep familiarity with workflow orchestration platforms such as Temporal, Cadence, AWS Step Functions, Kubernetes, or similar systems. • Deep familiarity with Kubernetes and containerized production environments, and familiarity with Terraform, Docker. • Strong knowledge of distributed-systems concepts, including asynchronous execution, retries, idempotency, fault tolerance, state management, and observability. • A track record of leading technically complex projects from design through rollout and ongoing operation. • Excellent communication skills and the ability to collaborate effectively with platform consumers and non-technical stakeholders. Nices to haves: • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). • Experience with authentication/authorization systems (Zanzibar, Authz, etc.) • Experience scaling products at hyper-growth startups. • Excitement to work with AI technologies. 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 hire