Nimble Robotics

Nimble Robotics

Member of Technical Staff

San Francisco, CA · Staff+

Sponsorship not specified$150k-$300kDetected 22 days ago
AlgorithmsDeep LearningValuationSupply ChainRobotics

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

$15,131 more — $165,131 — 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 $165,131 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 "Software Developers" for prevailing-wage purposes.

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

9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 8 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.

Community outcomes

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About the role

  • Nimble is looking for a Member of Technical Staff to help us advance our robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.
  • You will play a critical role in working with our all-star cross-functional team to build models with immediate applications for the world's biggest robotics opportunity.

Responsibilities

  • Develop and train VLAs and generalist visuomotor policies to automate thousands of tasks across the supply chain
  • Develop data collection pipelines
  • Design data annotation and labeling
  • Support implementation of models into production systems

Requirements

  • Experience working with real robotic hardware
  • Experience collecting custom datasets
  • Experience training on open-source datasets
  • Strong track record of publishing papers and/or deploying real-world applications
  • Experience with system architecture, design and development
  • Must be able to work extended hours and weekends as needed
  • Must be able to work in San Francisco
  • P.h.D in Robotics or Computer Science
  • Experience training deep learning models for robotic manipulation or mobility
  • Experience training models in simulation and developing simulation environments

Compensation

  • We've raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue.

Company info

  • We are a hardcore and obsessed team of the world's best engineers and operators.
  • We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
  • Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.

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