Brain Corp

Brain Corp

Senior Autonomy Engineer

San Diego, CA · Senior

Sponsorship not specified$180k-$224kDetected 77 days ago
PythonC++Code ReviewCI/CDLinuxMachine LearningPyTorchNLPAgileInventory ManagementRoboticsElectrical EngineeringResearchMentoring

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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.

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H-1B wage level

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

Level IV · 4×
Level I$85,1971 entry
Level II$110,6982 entries
Level III$136,1783 entries
Level IV$161,6784 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Engineers, All Other (17-2199) · San Diego-Chula Vista-Carlsbad, 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

Green-card follow-through: 50%

Of 6 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 503 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. 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

  • Translate state-of-the-art research (papers, open-source releases, conference talks) into production-quality implementations on the robot.
  • Improve runtime performance of perception, mapping, and planning on embedded GPU/accelerator hardware (quantization, distillation, kernel work where warranted).
  • Contribute to internal frameworks, simulation tooling, and developer experience that compound team velocity.

Responsibilities

  • Develop data engines and evaluation infrastructure that turn fleet logs into training data, regression tests, and shipped improvements.
  • Provide guidance and mentorship to engineers across robotics, ML, and the software systems that support them.
  • Opportunities to share your own interests and hobbies with the Company

Requirements

  • Master's Degree. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field - or equivalent demonstrated experience.
  • Demonstrated track record of taking research ideas and papers into deployed implementations.
  • Required Knowledge, Skills, Abilities, and Other Characteristics:
  • Experience designing robotic systems with ROS 2 (or comparable middleware) and contemporary simulation tools such as Isaac Sim, MuJoCo, or Gazebo.
  • Comfort with the full ML lifecycle: data curation and labeling strategy, large-scale training, offline and online evaluation, and continuous deployment to production hardware.
  • Familiarity with modern engineering practices: CI/CD, code review, observability, and iterative delivery (i.e. Agile, Scrum).
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Skills

  • Solid systems and software architecture instincts; pragmatism about when a learned approach beats a classical one and vice versa.
  • A discretionary annual target bonus
  • Stock options
  • 401(k) plan with match (no waiting period and immediate vesting)
  • Access to Flexible Spending Accounts (Medical and Dependent Care)
  • Daily on-site lunch available in the San Diego office
  • On-campus gym including pool and tennis courts in the San Diego office
  • Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events
  • Internal continuous learning events

Compensation

  • The anticipated salary range for candidates who will work in San Diego, California is $179,505 to $224,381.
  • The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc.
  • Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.
  • In addition to base pay, our competitive total rewards package consists of:
  • A discretionary annual target bonus

Benefits

  • Design, train, and deploy machine learning systems for perception, SLAM, prediction, and motion planning that enable safe navigation around people and obstacles.
  • Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown
  • Additional Perks include:

Company info

  • Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry.
  • Our purpose is to create autonomous technology that helps the real world work better.
  • Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment.
  • Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more.
  • Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world.
  • Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.
  • Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.
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This listing is sourced directly from Brain Corp's careers page and normalized into a canonical job model.