Jobs / United States / Hinge Health INC
Staff Software Engineer, Brain Health, AI
Hinge Health INC · 🇺🇸 San Francisco-HQ
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 13 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 6 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 Hinge Health INC paid sponsored hires in similar roles5 certified filings for “Senior Software Engineer - React Native” (Software Developers) in CA: $188k–$265k, median $214k. Most were filed at wage level IV (60%) — 4 lottery entries, ≈61% 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 — Hinge Health INC
The US Department of Labor certified 13 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 6 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 Hinge Health INC →
About the role
THE OPPORTUNITY Join the team transforming how we treat chronic pain by addressing its root cause: the brain. Hinge Health is expanding beyond physical therapy to build a comprehensive Brain Health ecosystem. In this mission-critical role, you will lead the architecture and development of agentic AI systems that deliver personalized pain reprocessing therapy and mindfulness interventions. You will bridge the gap between clinical science and software engineering, building the engine that helps millions of members retrain how their nervous systems process pain. WHAT YOU'LL ACCOMPLISH - Architect Next-Gen AI Therapies: Build and scale the agentic AI systems that power multi-session conversational therapy, ensuring they maintain context, demonstrate emotional intelligence, and align with clinical protocols. - Build a Unified Education Platform: Design the centralized service that delivers personalized pain science education and mindset strategies, adapting content to each member's therapeutic goals. - Drive Technical Strategy: Define the long-term technical vision for Brain Health in partnership with product and clinical leadership, balancing immediate delivery with scalable, fault-tolerant infrastructure. - Lead & Mentor: Act as a technical beacon for the team, mentoring engineers, fostering a culture of technical excellence, and driving cross-functional collaboration across data science, clinical, and platform teams. - Participate in the team’s weekly on-call rotation, helping ensure the reliability and timely support of the systems we build. WHO YOU ARE - A Strategic Builder: You don't just write code; you architect systems that scale. You have a deep understanding of distributed systems and can navigate the complexity of building AI-driven products in a regulated healthcare environment. - A "Learn-it-all": You stay on the bleeding edge of AI and software engineering, constantly evaluating emerging technologies to optimize performance and improve the platform. - A Cross-Functional Leader: You thrive in multidisciplinary environments, translating complex technical concepts for clinical and product stakeholders to ensure our solutions are both clinically sound and technically robust. - An Owner-Operator: You take pride in your work, from architecture to production support, embodying a DevOps culture where you own the reliability and performance of your code. BASIC QUALIFICATIONS - Have 4+ years of practical software engineering experience, including meaningful time shipping AI-powered products to real users. - At minimum a Bachelor Degree in Computer Science or related field - Have led the design and delivery of complex, user-facing products end-to-end — across product surfaces, backend services, and AI/ML systems. PREFERRED QUALIFICATIONS - Have worked in early-stage or fast-moving, rapidly evolving environments, and have ideally built products from 0 to 1. - Are technically proficient in modern AI application development, with demonstrated depth in working with LLMs (prompt engineering, RAG, agentic systems, evals) and a strong fullstack foundation (e.g., Python, TypeScript/NestJS). - Take a product-focused approach to building AI solutions that are robust, safe, and genuinely useful in users' hands. - Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority. - Have experience establishing engineering standards, system architectures, and development best practices — especially around evaluation, safety, and reliability for AI systems. - Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products. - Excellent communication skills with the ability to explain technical concepts to non-technical