Jobs / United States / Samsara

Samsara

Staff Software Engineer

Remote (Anywhere in the World, 🇺🇸 United States of America) · Remote · Anywhere Posted 1 month ago

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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 47 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.
  • 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.
  • What Samsara paid sponsored hires in similar roles4 certified filings for “Sr.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 47 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 Samsara paid sponsored hires in similar roles
4 certified filings for “Sr. Quality Engineer I” (Software Quality Assurance Analysts and Testers) in CA: $138k–$187k, median $140k. Most were filed at wage level I (50%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

Headquarters: Remote URL: https://www.samsara.com/ About the role: Samsara (NYSE: IOT) sits at the center of hardware, software, AI, and the physical world. The platform processes 25+ trillion data points annually from IoT sensors, cameras, and connected devices across thousands of organizations, and that dataset is compounding: it grew from 4 trillion to 25+ trillion in four years. We're still early in turning that data into the products that will define how physical operations run, and we're hiring the engineers who will build what comes next. We're approaching ~$2B ARR growing 30%+ year over year, with 96% of our largest customers on two or more products. The fastest-growing divisions at Samsara are tackling the hardest, most ambiguous problems at the company: building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage fleets, and run day-to-day operations. Most of this work is zero-to-one, at billion-dollar scale. We're looking for software engineers who want to define what ships next. Leveling is broad and flexible: we're hiring from Senior through Staff+, across platform and product, and we're open to shaping scope around the right person's strengths and interests. That window won't stay open long. This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: • You want to impact the industries that run our world. The software you build will have real-world stakes: helping keep the lights on, getting food into grocery stores, keeping workers safe. What ships here isn't metrics on a dashboard. It shows up on the loading dock, the job site, and the dispatch floor. • You want to build, not maintain. Samsara is in full growth mode. We're building new systems from scratch, not babysitting old ones. You'd own entire problem spaces end to end, with the autonomy to set direction from day one. • You want to work where AI meets the physical world. Samsara has spent a decade building the largest proprietary dataset for physical operations. More connected assets generate more data, more data trains better models, better models drive more value, and more value wins more assets. The market and the opportunity here are what set us apart, not just the models. • You believe customers are more than a number. Samsara engineers have a rare closeness to end users. You'll participate in customer interviews, collaborate with product managers and customer success, and use that context to build products that solve real problems operators face every day. • You have the curiosity and drive to figure it out. We're looking for people who take pride in their work and get things done at all costs. The engineers who thrive here don't wait to be told what to build. They define it, ship it, and own the outcome. The rate-limiting step on our teams isn't tooling or process. It's ambition. In this role, you will: • Take ownership of technically complex, mission-critical areas and run with them. We want to point you in a direction and show up to the demo meeting impressed, not spend our weeks managing the details. • Define and drive technical strategy for new products and platform capabilities, from backend services and APIs to the customer-facing UI. • Design and ship full-stack features end to end. You'll work across backend, frontend, and potentially mobile to deliver AI-powered products that solve real operational problems. • Partner with product, design, and customer-facing teams to translate ambiguous, real-world problems into clear technical plans and measurable outcomes. • Build and scale the systems behind AI-driven products, including data ingestio

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