---
title: 'Senior Autonomy Engineer at Brain Corp'
canonical: 'https://feeny.ai/job/senior-autonomy-engineer-brain-corp-san-diego-sywqxscxza8d'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Autonomy Engineer at Brain Corp

- **Company:** Brain Corp
- **Location:** San Diego, CA
- **Posted:** 2026-07-25
- **Last confirmed live:** 2026-09-05
- **Apply:** https://www.braincorp.com/open-positions?gh_jid=8650258002

## Job description

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.

Position Overview:

As a Senior Autonomy Engineer on our R&D team, you'll help define the next generation of software that lets robots perceive, learn, and act in unstructured indoor environments. You'll work across the modern autonomy stack — from learned perception and prediction to mapping and motion planning — and ship capabilities that generalize across our fleet. We're looking for someone equally comfortable reading a fresh arXiv paper, writing production C++/Python, and debugging behavior on a real robot in the lab. You'll help set technical direction, raise the bar on engineering quality, and mentor others on the team.

Essential Job Functions:

- Design, train, and deploy machine learning systems for perception, SLAM, prediction, and motion planning that enable safe navigation around people and obstacles.
- Build and improve learned components — including transformer-based perception, vision-language models for scene understanding, diffusion or imitation-learning policies, and neural/Gaussian-splatting approaches to mapping — and integrate them with classical estimation and planning where it makes sense.
- Translate state-of-the-art research (papers, open-source releases, conference talks) into production-quality implementations on the robot.
- Develop data engines and evaluation infrastructure that turn fleet logs into training data, regression tests, and shipped improvements.
- Own features end-to-end: from prototype, through sim and on-robot validation, to fleet rollout, with measurement of real-world impact.
- 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.
- Provide guidance and mentorship to engineers across robotics, ML, and the software systems that support them.

Education and/or Work Experience Requirements:

- Master’s Degree. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field — or equivalent demonstrated experience.
- 5+ years of relevant industry or research experience building autonomy, perception, or ML systems
- Strong fluency in Python and C++ in a Linux environment.
- Demonstrated track record of taking research ideas and papers into deployed implementations.
- Depth in one or more of: machine learning (supervised, self-supervised, imitation, RL), SLAM and state estimation, motion planning, or 3D perception.

Required Knowledge, Skills, Abilities, and Other Characteristics:

- Hands-on experience with PyTorch (and/or JAX), modern training pipelines, and contemporary architectures (transformers, diffusion models, vision-language-action models).
- 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.
- Solid systems and software architecture instincts; pragmatism about when a learned approach beats a classical one and vice versa.
- Familiarity with modern engineering practices: CI/CD, code review, observability, and iterative delivery (i.e. Agile, Scrum).
- Bonus: Contributions to open-source robotics or ML projects, publications at top venues (CoRL, RSS, ICRA, NeurIPS, CVPR, ICML), or experience with on-device acceleration (TensorRT, ONNX, custom CUDA kernels).

Physical Demands:

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. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

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
- Stock options
- 401(k) plan with match (no waiting period and immediate vesting)
- Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance.
- Access to Flexible Spending Accounts (Medical and Dependent Care)
- 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:

- 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
- Opportunities to share your own interests and hobbies with the Company

## About Brain Corp

## Company Overview
- **One-liner**: Brain Corp provides an enterprise-grade autonomy platform (BrainOS®) that enables partners to build, deploy, and scale autonomous mobile robots for real‑world environments like retail, warehousing, healthcare, and education.
- **Entity Type**: Private (total funding $193M across 4 rounds; latest round not disclosed)
- **Headquarters**: San Diego, California, United States
- **Founded**: 2009
- **Founders**: Dr. Eugene Izhikevich (computational neuroscientist)

## Core Business
- **Primary industries**: Robotics, autonomous mobile robots (AMRs), artificial intelligence, industrial automation
- **Target customers**: B2B – OEMs and large enterprises (Fortune 500) in retail, warehousing, healthcare, education, airports, and commercial real estate
- **Mission**: To make the real world work better by enabling partners to close the Autonomy Gap and deploy enterprise‑grade robots today.

## Products & Services
- **BrainOS® Platform**: A full‑stack software operating system for autonomous machines. Includes a contextual grounding layer (dual‑process safety, semantic 3D mapping), a hardware abstraction layer, cloud operations suite, and APIs for enterprise integration. Used for floor care (scrubbers/vacuums), inventory scanning, material handling, and tuggers.
- **BrainOS® Mobile**: A fleet management app that provides real‑time monitoring, notifications, and training materials.
- **EMMA (Enabling Mobile Machine Automation)**: An autonomous floor‑cleaning solution that retrofits manual equipment; won ISSA Interclean’s Innovation of the Year in 2017.
- **Custom Solutions**: Brain Corp partners with OEMs to embed BrainOS into their hardware, enabling rapid deployment of commercial robots.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metrics**:
  - Annual Revenue: ~$18M (LinkedIn estimate)
  - Total Funding: $193M
  - Robots Deployed: 50,000+ (company website) / 40,000+ (LinkedIn)
  - Square Feet Navigated: 100 billion+
  - Patents: 240+ granted and pending
- **Notable Investors / Partners**:
  - Investors: SoftBank Vision Fund, Qualcomm Ventures, Hercules Capital, ClearBridge Investments, Satwik Ventures
  - Partners: Walmart (nationwide deployment), Sam’s Club (600 stores – world’s largest robotic inventory scanning deployment), and 10,000+ global brands/OEMs
- **Growth Signals**:
  - Expanded to 6 continents with offices in San Diego, Amsterdam, and other locations
  - Named #1 Autonomy Solution Provider for mobile robotics by ABI Research (2019)
  - Transitioned from hardware to SaaS model under CEO David Pinn
  - SOC 2 compliant and US data residency for enterprise security

## Competitive Advantages
- **Proven Scale**: Over 100 billion square feet of real‑world navigation – the largest deployed fleet of autonomous floor care robots globally.
- **Enterprise‑Grade Platform**: BrainOS provides deterministic safety architecture, semantic mapping, and cloud infrastructure that passes Fortune 500 IT and security audits.
- **OEM‑Friendly Model**: Partners can swap sensors/chassis without rewriting core code, reducing time‑to‑market and R&D costs.
- **Compounding Value**: Over‑the‑air updates and shared fleet learning continuously improve robot performance without hardware changes.

## Strategic Focus
- **SaaS Transformation**: Shifting from a hardware‑centric model to a recurring software revenue model, enabling partners to monetize autonomy immediately.
- **International Expansion**: Growing presence in Europe (Amsterdam HQ) and other continents.
- **Vertical Diversification**: Beyond retail and cleaning into warehousing, healthcare, education, and airports.
- **Data Advantage**: Leveraging fleet data to improve navigation and add features, creating a proprietary moat.

## Why Work Here
- **Culture & Recognition**: Named a Top Workplace by the San Diego Union‑Tribune (2020) and USA Today. Emphasizes collaboration, play, and purposeful work.
- **Perks & Benefits**:
  - Stock options, 401(k), comprehensive medical/dental/vision
  - Flexible vacation, short‑/long‑term disability, EAP
  - On‑site gym (with pool and tennis court), daily free lunches, wellness room with massage chairs
  - Video games, hiking trails, and recreational activities
- **Work Environment**: Hybrid/office (San Diego campus). 220+ employees globally. Strong emphasis on innovation – 240+ patents in robotics, AI, and navigation.
- **Engineering Culture**: Work on real‑world AI that powers physical robots; opportunity to impact Fortune 500 deployments.

## Sources
1. [braincorp.com – About](https://www.braincorp.com/about)
2. [braincorp.com – Homepage](https://www.braincorp.com/)
3. [braincorp.com – Careers](https://www.braincorp.com/careers)
4. [LinkedIn – Brain Corporation](https://www.linkedin.com/company/brain-corporation)
5. [braincorp.com – Open Positions](https://www.braincorp.com/open-positions)

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