Wayve

Wayve

Systems Engineer, AI Validation

Sunnyvale, California USA · Senior · Full-time

Sponsorship not specified$210k-$267kDetected 95 days ago
PythonSQLSystems EngineeringRoboticsCollaboration

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
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 II · 2×
Level I$152,7971 entry
Level II$187,0752 entries
Level III$221,3743 entries
Level IV$255,6534 entries

$11,674 more$221,374 — moves this role to Level III and 3 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 $221,374 would place this position at wage Level III. 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 Jose-Sunnyvale-Santa Clara, 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

12 transfer filings in the last year, covering 12 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.

Community outcomes

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About the role

  • Analyze test results and report findings to Release and Autonomy Engineering stakeholders.
  • Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution.
  • Your contributions will enable the successful integration of the AI Driver across a range of autonomy products.

Responsibilities

  • Develop and implement a comprehensive validation strategy across test modalities for multiple autonomy products.
  • Define and implement general purpose metrics for validating on-road and simulated driving behavior.
  • Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.

Requirements

  • 5+ years of experience working on automated driving, robotics, or related product.
  • Proficiency in Python to implement metrics and work with evaluation codebase.
  • Experience with both simulated and and physical testing environments for autonomous systems.
  • Experience with modern AI tools and agentic workflows

Compensation

  • This is a full-time role based in our office in Sunnyvale and the reasonably estimated salary for this role ranges from $209,700 to $266,800 plus a competitive equity package.

Benefits

  • Define test coverage requirements and build comprehensive test suites.

Company info

  • This critical work will help the Wayve AI Driver reach millions of customers globally.
  • ABOUT YOU In order to set you up for success as a Systems Engineer (Senior / Staff), AI Validation at Wayve, we're looking for the following skills and experience.
  • At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
  • In order to set you up for success as a Systems Engineer (Senior / Staff), AI Validation at Wayve, we're looking for the following skills and experience.

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