Jobs / United States / Sambanova Systems INC
Senior Principal Runtime Engineer
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 roles8 certified filings for “Principal Engineer” (Computer and Information Research Scientists) in CA: $175k–$190k, median $183k. Most were filed at wage level II (100%) — 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 — 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 the role The Runtime Team builds a high-performance, distributed and scalable software execution environment for SambaNova SambaStack and Cloud platforms to support data-flow applications such as ML training and inference and HPC applications. We are searching for a software engineer who will work on all parts of the runtime stacks, supporting AI, ML, and scientific applications in high-performance distributed systems. You will participate in building, testing and deploying next-generation high-performance compute systems for AI applications at scale. Responsibilities div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-2 [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> _*]:min-w-0 gap-3 [&_>_*:last-child]:mb-0 print:block print:[&_>_*_+_*]:mt-3 standard-markdown"> • New and enhanced features to support high-performance, scalable ML inference and training applications • Drivers and kernels for next generation silicon • Eliminate networking bottlenecks to enable high performance distributed systems • User-space libraries for high performance and high utilization of HW resources • User-facing tools (analysis, job and HW management, profiling, debugging, etc) for Datascale systems • Cross-functional collaboration including Hardware, ML Application, Compiler, and DevOps Required Qualifications • B.S. in Computer Science, Engineering, or related field • 5+ years of software engineering experience, often with emphasis on distributed systems, networking, or cloud infrastructure • Proven experience building, testing, and tuning software for distributed, high-performance systems. In-depth knowledge of user libraries, and runtime stacks • Solid understanding of Switching and Routing and ability to configure and debug switches and routers for maximum application performance • Significant experience with RDMA and RoCE networking stacks, such as RDMA based verbs and congestion management • Hands-on experience with kernel drivers and system-level software that directly interfaces with hardware • Expertise in designing and optimizing systems that handle massive parallel workloads, including machine learning training and inference tasks that involve billions of operations per second • Deep understanding of hardware-software interaction, including registers, device memory management, and the intricacies of accelerator design. Experience working with ASIC accelerators is highly desirable • Familiarity with distributed systems architecture, including networking, communication protocols, and the challenges of scaling compute resources efficiently • Hands-on experience with software development tools such as Git, Jenkins, and Jira, with an ability to drive automation and continuous integration efforts • Ability to work at the intersection of hardware and software, designing systems that optimize both performance and reliability Preferred Qualificati