---
title: '2027 Internship State Estimation, Learned Mapping & Semantic SLAM at Bedrock Robotics Inc'
canonical: 'https://feeny.ai/job/2027-internship-state-estimation-learned-mapping-semantic-slam-bedrock-robotics-wwjew8f3h0q5'
type: 'job'
last_seen: '2026-09-26'
---

# 2027 Internship State Estimation, Learned Mapping & Semantic SLAM at Bedrock Robotics Inc

- **Company:** Bedrock Robotics Inc
- **Location:** San Francisco, CA
- **Employment:** internship
- **Work type:** onsite
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-09-26
- **Apply:** https://jobs.ashbyhq.com/bedrock-robotics/8c7bad61-50e3-4702-be36-72e9b72a9760

## Job description

Join the team bringing advanced autonomy to the built world At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.

We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.

This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.

## About the Role & Team

Construction sites change with every bucket of dirt. Our State Estimation team builds the maps and localization systems that help autonomous excavators understand where they are and how the terrain is changing. As an intern on this team, you'll explore how modern learning-based methods can improve our geometry-first mapping stack. That could mean localizing reliably in terrain that looks the same in every direction, building maps that hold up through dust and occlusion, or labeling the map semantically so the machine can tell material to dig from haul roads, spoil piles, and berms. You'll test your ideas on real fleet data, measure them against strong classical baselines, and deliver a prototype the team can build on.

## What You'll Do

- Prototype learned SLAM and mapping methods, such as place recognition, odometry, depth completion, and neural occupancy or surface representations
- Fuse lidar and camera segmentation into consistent 3D semantic maps, potentially using vision foundation models or open-vocabulary segmentation
- Develop methods that handle changing terrain, moving material, sparse returns, dust, occlusion, and perceptual aliasing
- Train models on fleet lidar and camera data, and build evaluation pipelines to compare mapping and localization performance against existing methods and ground truth
- Work with perception and planning teams to identify the map properties that matter most for downstream decisions
- Deliver a documented prototype, experimental results, and recommendations for future work

## What We're Looking For

Required

- Pursuing a BS, MS, or PhD in computer science, robotics, electrical engineering, or a related field, or equivalent research or industry experience
- Strong Python skills and hands-on model training experience with PyTorch or a similar framework
- Solid understanding of 3D geometry, coordinate frames, and transforms
- Familiarity with SLAM and mapping fundamentals, point clouds, or depth data
- Comfort with messy sensor data and designing experiments that distinguish real improvements from noise

## Preferred

- Research or project experience in learned SLAM, semantic mapping, or 3D scene understanding
- Experience with neural scene representations, such as NeRFs, 3D Gaussian splatting, neural occupancy, or signed distance fields
- Experience applying vision foundation models, such as DINOv2 or SAM, to 3D or robotics problems
- Experience with lidar processing or multi-sensor fusion
- Exposure to autonomous vehicle, off-road, or field robotics data
- Familiarity with Rust or C++, and ROS or similar robotics middleware

Bedrock Robotics is an Equal Opportunity Employer We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic. Reasonable Accommodations We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.

## About Bedrock Robotics Inc

## Company Overview
- **One-liner**: Bedrock Robotics brings advanced autonomy to heavy machinery, upgrading existing construction equipment for fully autonomous operation to help the industry build faster and safer.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Boris Sofman (Co-Founder & CEO), Kevin Peterson (Co-Founder & CTO), Tom Eliaz (Co-Founder & VP, Engineering), Laurent Hautefeuille (Co-Founder & VP, Engineering)

## Core Business
- **Primary industry**: Robotics Engineering / Autonomous Heavy Equipment / Construction Technology
- **Target customers**: B2B — construction companies, infrastructure developers, and heavy machinery fleet operators
- **Mission or purpose**: Transforming how we develop the world by enabling the construction industry to build at the pace of societal demand through autonomous technology.

## Products & Services
- **[Bedrock Operator]**: An autonomous system that retrofits existing heavy equipment (e.g., excavators) to operate independently, adapting to on-site challenges, tracking productivity, and delivering expert-level quality with superhuman safety. Type: Hardware + Software (Autonomy Platform).

## Market Standing
- **Valuation**: Not publicly disclosed (latest funding round values the company at a significant premium).
- **Key Metric**: Total Funding — $350M raised (Series B of $270M closed in early 2026).
- **Notable Investors/Partners**: NVentures (NVIDIA), Valor Equity Partners, 8VC, Eclipse, Tishman Speyer, and 21+ other investors. Backed by key strategic partners in construction and real estate.
- **Growth Signals**: 
    - Headcount grew 5,950% YoY (from ~1 to 85 employees in its first year).
    - Named "Outperformer" among 15 companies including Caterpillar, Sandvik, and Epiroc by CB Insights.
    - Covered by The New York Times, Forbes, and Engineering News Record for major funding and field deployments.
    - Completed a major project removing 65,000 cubic yards of dirt on a Southwest construction site.

## Competitive Advantages
- **Deep autonomy heritage**: Founding team spent years at Waymo perfecting autonomous systems for complex, safety-critical driving on public roads — a rare and transferable expertise.
- **Real-world deployment**: Technology is proven on active construction sites (not just simulations), with tens of thousands of hours of field data.
- **Retrofit model**: Upgrades existing heavy equipment rather than requiring new machinery, lowering adoption barriers for construction firms.
- **Continuous improvement**: The Bedrock Operator learns and sharpens skills with every project, creating a data moat.

## Strategic Focus
- Scaling deployment of autonomous heavy equipment across major construction projects (housing, data centers, energy, factories).
- Expanding the range of machinery types that can be retrofitted.
- Deepening partnerships with construction firms and equipment manufacturers.
- Growing the engineering and field operations teams to accelerate product development and customer support.

## Why Work Here
- **Culture**: A passionate, product-driven team that works hand-in-hand with customers. Emphasizes real-world impact — field tests on active construction sites generate as much excitement as breakthrough code.
- **Work Environment**: Hybrid presence with offices in Downtown San Francisco, Soho (New York City), and test facilities in Texas and California.
- **Perks**: Comprehensive health & well-being coverage, daily in-office meals, commuter benefits, unlimited time off, paid parental leave, 401k retirement plan.
- **Engineering Focus**: Work on unsolved problems — bringing autonomous technology to market that will revolutionize construction. Exposure across product, technology, and business. First pair of steel-toed boots provided.
- **Team**: Collaborate with a diverse group of experts from Waymo, Zoox, Cruise, Caterpillar, and other top robotics/autonomy companies.

## Sources
1. [bedrockrobotics.com](https://bedrockrobotics.com/)
2. [bedrockrobotics.com/about](https://bedrockrobotics.com/about)
3. [bedrockrobotics.com/careers](https://bedrockrobotics.com/careers)
4. [cbinsights.com](https://www.cbinsights.com/company/bedrock-robotics)
5. [linkedin.com](https://www.linkedin.com/company/bedrock-robotics)

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