---
title: 'Field Application Engineer at Dapster'
canonical: 'https://feeny.ai/job/field-application-engineer-dapster-phoenix-8qn56edp9sfb'
type: 'job'
last_seen: '2026-09-12'
---

# Field Application Engineer at Dapster

- **Company:** Dapster
- **Location:** Phoenix, AZ
- **Employment:** full-time
- **Posted:** 2024-02-02
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/dapster/11b1f1a4-0312-4431-8175-cb1635fd063a

## Job description

[Note: we are currently fully staffed for this role, but expect to be hiring for additional team members in the near future. So, we likely won't review/respond quickly, but we WILL look here first when we crank up the hiring machine again.] Dapster is looking for a Field Application Engineer to join our small-but-powerful team. This is an impact opportunity -- we’re very much still an early-stage startup, and you will be working on our foundational technology and products.

About Dapster: Dapster is focused on bringing AI-fueled robotic picking solutions to market. We recently landed a large pilot with a top retailer -- effectively dilution-free funding to develop our core technology. If you want to do interesting work with a sharp, experienced and humble team, and share in the upside that comes with joining at the earliest stages, [we’d love to talk to you](https://jobs.ashbyhq.com/Dapster).  The quick details:

What will you do? Manage Dapster operations onsite at our client site in Phoenix, operating robots and working closely with our engineering team to implement tests and changes.

What are we looking for?

- Strong engineering mindset, demonstrated by either a degree in Mechanical or Electrical Engineering, Computer Science, or related fields, or relevant experience and activities.
- 3+ years experience in a technical role, such as application engineering, technical support, or related positions.
- Effective communication skills, both verbal and written, with the ability to convey technical information to non-technical audiences.
- Customer-focused mindset.
- Ability to work both independently and collaboratively in a dynamic and fast-paced environment.

Other nice-to-have’s:

- Prior experience with robotic products and solutions such as robotic arms and autonomous mobile robots (AMRs).
- Familiarity with warehouse operations and experience working with warehouse staff.

We maintain a development lab in Palo Alto, CA, and occasionally travel to and work at client sites (mainly Phoenix, AZ). Note: this role will be based in Phoenix, AZ. In general, Dapster is a remote-friendly, hybrid workplace. Roles requiring interaction with our physical robots likely entail more in-office work than not. Other roles can be structured to your preferences.

Interested in learning more? Let’s start a conversation -- you can apply directly below or reach out to Scott (one of our founders) with any questions at scott@dapster.ai.

## About Dapster

## Company Overview
- **One-liner**: Dapster provides autonomous robotic material handling solutions, specializing in container unloading and case-picking with AI-powered vision and reinforcement learning.
- **Entity Type**: Private (Incubator/Accelerator stage)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2020
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Logistics, Supply Chain, Robotics, Warehouse Automation
- **Target customers**: B2B – warehouses, distribution centers, Fortune 100 enterprises; focuses on high-volume container unloading environments
- **Mission or purpose statement**: Not explicitly stated, but the company aims to eliminate unsafe, injury-prone manual labor in trailer and container handling while increasing throughput and reliability

## Products & Services
- **Dapster**: A multi-functional mobile robot capable of unloading, loading, palletizing, and depalletizing cases. Uses AI vision models for drop detection, optical character recognition (OCR) for label reading, LiDAR and camera-based safety, and reinforcement learning for real-time coordination. Offered via a Robotics-as-a-Service (RaaS) model with no large upfront cost, including hardware maintenance, software upgrades, and customer support.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding not publicly specified; latest round is Incubator/Accelerator - II.
- **Notable Investors/Partners**: Plug and Play, Plug and Play Northwest Arkansas
- **Growth Signals**: Has been deployed at a Fortune 100 warehouse since 2024, achieving 1.5x faster turnaround time and 90% reduction in manual lifting. Expanding to additional customers. The robot can be deployed in under 1 hour and moved between docks in under 10 minutes.

## Competitive Advantages
- **Brownfield-ready**: Works with existing telescopic and accordion conveyors; requires no AC power, no customer WiFi, no compressed air lines, and no infrastructure changes.
- **Operational ease**: Onboard safety systems (LiDAR + cameras), remote teleoperator support for edge cases, and reinforcement learning algorithms that improve throughput over time.
- **Robotics-as-a-Service (RaaS)**: OpEx-friendly subscription model eliminates large capital expenditure and includes hardware, software, and support.
- **Data insights**: Captures case-level data (weight, dimensions, labels) and provides real-time operational dashboards, helping customers with vendor management and supply chain analytics.

## Strategic Focus
- Scaling deployments beyond the initial Fortune 100 customer; expanding the customer base for container/handler unloading, loading, palletizing, and depalletizing solutions. Emphasis on frictionless, brownfield-friendly deployments that can be up and running quickly.

## Why Work Here
- **Culture highlights**: Small team (around 5 employees) working on cutting-edge robotics and AI in logistics. Opportunity for significant impact in a fast-moving early-stage startup.
- **Remote/hybrid/office policy**: HQ in Palo Alto, CA; positions listed as "In-Office or Remote" with 7 locations. BuiltIn notes "Employees work from physical offices" with typical time on-site "None" – likely flexible hybrid arrangements.
- **Perks/engineering culture**: Focus on reinforcement learning, computer vision, hardware/software integration. Hands-on work with industrial robots deployed in real-world environments.

## Sources
1. [dapster.ai](https://dapster.ai/) – Product and solution details
2. [dapster.ai/overview.html](https://www.dapster.ai/overview.html) – Company background, deployments, RaaS model
3. [cbinsights.com](https://www.cbinsights.com/company/dapster-ai) – Funding stage, investors, founded year, competitors
4. [builtin.com](https://builtin.com/company/dapster-ai) – Employee count, locations, work policy, jobs
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/Dapster) – Careers page (no longer accessible? but provided)

## Other roles at Dapster

- [Lead Robotics Software Engineer](https://feeny.ai/job/lead-robotics-software-engineer-dapster-san-francisco-n0kbd0w743vw) — San Francisco, CA
- [Lead Embedded System Software Engineer](https://feeny.ai/job/lead-embedded-system-software-engineer-dapster-san-francisco-g8mhm6rj3p73) — San Francisco, CA
- [Lead Hardware Engineer](https://feeny.ai/job/lead-hardware-engineer-dapster-san-francisco-x5h98a4dgddh) — San Francisco, CA
- [Field Application Engineer](https://feeny.ai/job/field-application-engineer-real-time-innovations-boston-wvtq11p1ktf0) — Boston, MA
- [Field Application Engineer](https://feeny.ai/job/field-application-engineer-humanoid-us-boston-3x1pjf11fd5h) — US Boston, MA
- [Field Application Engineer](https://feeny.ai/job/field-application-engineer-apera-ai-inc-germany-tx3bjv30z2rs) — Germany
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