Osaro

Osaro

Backend Software Engineer

San Francisco · Junior · Full-time

H1B sponsorship available$135k-$165kDetected 2397 days ago
PythonBashLinuxDevOpsMachine LearningDeep LearningRobotics

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

The bottom of this range ($135,000) is below the Level I prevailing wage of $137,093. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You care deeply about your team, you're direct and you believe in doing what you say.
  • Some of Silicon Valley's leading investors, including Peter Thiel, Jerry Yang, and Scott Banister have backed OSARO.
  • OSARO is technique agnostic and always focused on the goal.

Responsibilities

  • You will contribute to a variety of projects from diagnosing network bottlenecks to helping design, build, and improve our data stores of thousands of hours of video and training data
  • You will design and implement backend systems to manage our growing fleet of autonomous robots
  • You will develop and maintain the backend for internal and customer-facing web services.
  • Strong knowledge of distributed computing and systems design
  • We implement state-of-the-art techniques but constantly strive to build the simplest possible solution.

Requirements

  • Good knowledge of databases (relational and otherwise) and experience with building and managing data processing pipelines at scale
  • Legal authorization to work in the U.S. is required (we do sponsor H1B transfer).

Compensation

  • $135k-$165k

Benefits

  • You will build and support compute clusters for training our machine learning models
  • Bonus if you have
  • More About OSARO OSARO is a San Francisco-based startup company applying deep learning technology to next-generation robotics applications.
  • Our vision is to build brains for robots on an industrial scale and we are excited and driven to see the results of our efforts operating in and interacting with the real world.
  • We have a highly international team made up of expert machine learning practitioners and dedicated software and hardware engineers which match well with the global nature of our business.

Company info

  • We're focused on delighting our customers with systems that work like magic.
  • We are naturally curious, love healthy debate, and respect varying points of view.
  • At OSARO, we strive to be champions for equality.
  • We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step.

Visa & Work Authorization

  • Legal authorization to work in the U.S. is required (we do sponsor H1B transfer).

This listing is sourced directly from Osaro's careers page and normalized into a canonical job model.