Osaro

Osaro

Software Engineering Manager

San Francisco · Director · Full-time

Sponsorship not specified$190k-$220kDetected 910 days ago
Machine LearningDeep LearningRoboticsLeadership

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

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

Level I · 1×
Level I$167,5651 entry
Level II$208,1042 entries
Level III$248,6433 entries
Level IV$289,1824 entries

$18,104 more — $208,104 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $208,104 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Systems Managers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Computer and Information Systems Managers (11-3021) · 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

  • This position can grow into a director role very quickly.
  • 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.

Responsibilities

  • Building high-level robot behaviors and APIs to interface with our robot systems.
  • We implement state-of-the-art techniques but constantly strive to build the simplest possible solution.

Requirements

  • Integrating the various sensors required for state of the art robotic systems into our software stack.

Compensation

  • $190k-$220k

Benefits

  • Interfacing with machine learning models and perception systems to create a complete software solution.
  • Supporting and collaborating closely with other teams across the organization to increase the performance of our vision and control products.
  • 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

  • ience Ability to travel to customer and partner sites 10% of the time Must have 6dof experience Green Card holder or US Citizen only

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