Jobs / United States / Sambanova Systems INC
Software Architect
Sambanova Systems INC · 🇺🇸 San Jose, California, United States
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 23 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 4 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 Sambanova Systems INC paid sponsored hires in similar roles3 certified filings for “Senior Software Engineer” (Information Technology Project Managers) in CA: $181k–$181k, median $181k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% 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 — Sambanova Systems INC
The US Department of Labor certified 23 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 4 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 Sambanova Systems INC →
About the role
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. About the Role SambaNova is hiring a Software Architect for the SambaStack platform. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. As a Software Architect on the SambaStack team, you will define the technical direction of the platform, shaping how it evolves to meet the demands of the world's most demanding enterprise AI workloads. You will own the cross-cutting architectural decisions that span teams and shape the platform's long-term trajectory. This is a high-impact, high-visibility role at the intersection of: • AI infrastructure • Enterprise software • Systems architecture and design • Developer experience Key Responsibilities • Own the end-to-end technical architecture of the SambaStack inference platform, ensuring it meets enterprise-grade standards for scalability, reliability, and performance . • Define and drive architectural strategy across engineering teams, aligning long-term platform direction with product and business objectives. • Lead design reviews for major new capabilities and cross-cutting system changes, providing authoritative technical guidance and raising the quality bar across the SambaStack engineering organization. • Proactively identify and resolve systemic risks , including performance bottlenecks, reliability gaps, and scaling constraints, before they impact customers. • Establish and evolve architectural standards, patterns, and best practices across the SambaStack engineering organization. • Partner with ML Engineers, Product Managers, QA, and DevOps to translate complex, ambiguous requirements into sound architectural decisions . • Serve as a technical thought leader and mentor , growing the architectural thinking and design skills of Software Engineers across the team. • Evaluate emerging technologies and industry trends to inform the platform's technical roadmap. • Architect new systems, components, and capabilities to solve new and interesting problems in the AI inference space . Required Qualifications • 12+ years of software engineering experience, including significant time in a role with organization-wide technical influence. • Proven track record of owning large-scale distributed systems architectures end-to-end from design to production. • Expertise building backend systems in Python, Go, or Rust. • Expert-level understanding of Kubernetes, including Operators, Helm Charts, and cluster-scale resource management. • Strong command of distributed