---
title: 'Software Engineer, State Estimation & Localization at Bedrock Robotics Inc'
canonical: 'https://feeny.ai/job/software-engineer-state-estimation-localization-bedrock-robotics-inc-san-qqc6zygv8fc9'
type: 'job'
last_seen: '2026-09-26'
---

# Software Engineer, State Estimation & Localization at Bedrock Robotics Inc

- **Company:** Bedrock Robotics Inc
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-14
- **Last confirmed live:** 2026-09-26
- **Apply:** https://jobs.ashbyhq.com/bedrock-robotics/45f969a1-20ec-47bd-9bda-2b4b5fa5eded

## 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.

We’re looking for a Software Engineer to develop the state-estimation systems that allow autonomous machines to understand their position, orientation, motion, and configuration. You’ll build production software that combines data from GNSS, IMUs, lidar, machine sensors, and other sources in rugged environments the machines themselves are actively reshaping. Accurate state estimation is essential to both safety and performance. Your work will help our machines operate precisely, recognize when sensor data or estimates are unreliable, and respond safely when inputs are delayed, degraded, or unavailable. Depending on your background, you may focus on real-time sensor fusion, estimator reliability, lidar-based estimation, offline optimization, or calibration. This is a hands-on role spanning algorithm design, production software, data analysis, and testing on real machines.

What you’ll do:

- Design, implement, and deploy state-estimation and localization algorithms for autonomous construction machines
- Combine GNSS, IMU, lidar, and machine-sensor data into accurate, real-time estimates of machine position, motion, and configuration
- Improve reliability through sensor monitoring, consistency checks, fault detection, trustworthy confidence estimates, redundancy, and graceful degradation
- Handle measurements that arrive late, out of order, intermittently, or not at all
- Build ground-truth systems, offline reference estimators, metrics, and regression tests that measure performance and expose failures
- Work on related problems such as sensor calibration, clock synchronization, lidar-based arm estimation, and joint offline estimation
- Diagnose issues using field data, recorded-data replay, and simulation, then test improvements on physical machines
- Collaborate with controls, perception, safety, hardware, and systems teams to improve the performance of the complete autonomy system

What we're looking for:

- 4+ years of professional engineering or applied research experience in state estimation, localization, navigation, SLAM, or sensor fusion
- Strong foundations in probabilistic estimation, linear algebra, 3D geometry, and numerical methods
- Hands-on experience with one or more of GNSS/INS fusion, Kalman filtering, factor graphs, lidar or visual odometry, point-cloud registration, or sensor calibration
- Strong production software skills in Rust or modern C++. Our production stack is primarily Rust, and we will support experienced C++ engineers as they ramp up
- Experience measuring estimator performance using ground truth, recorded data, simulation, and real-world testing
- Strong debugging and data-analysis skills, including the ability to investigate problems across algorithms, software, sensors, and hardware
- A degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field, or equivalent practical experience

Ways to stand out:

- Experience deploying state-estimation systems on autonomous vehicles, robots, or embedded platforms
- Experience with estimator monitoring, uncertainty, fault detection, redundancy, or safety-relevant systems
- Experience with nonlinear optimization, factor graphs, or smoothing
- Deep knowledge of GNSS, inertial sensing, lidar, sensor timing, calibration, and real-world failure modes
- Experience with lidar localization, ICP, continuous-time estimation, or articulated-machine estimation
- Experience building offline reference estimators or independent ground-truth systems
- Production experience with Rust
- Familiarity with construction, mining, agricultural, or other heavy industrial machines

Other special aspects of the role:

- Based in San Francisco with the ability to be onsite at our SF office 3 day a week

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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