Summer 2026

Data Nerd Intern

Posted on 4/29/2026

Robust.ai

Robust.ai

51-200 employees

AI-powered robots for manufacturing and logistics

No salary listed

San Carlos, CA, USA

In Person

Bachelor's

Category
Data & Analytics (1)
Required Skills
Python
R
Pandas
NumPy

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Requirements
  • Currently pursuing a degree in Data Science, Computer Science, Robotics, Systems Engineering, or a related field.
  • Proficient in Python (Pandas, NumPy), or R, or another data-analysis framework.
  • Experience with data visualization tools is a must.
  • Excellent communication skills to explain complex technical failures and their impact to non-technical audiences.
Responsibilities
  • Visualize the Fleet by designing and building automated reports and dashboards to track Key Performance Indicators and issues.
  • Mine robot logs to identify recurring edge cases and understand why robots in one site perform differently from another.
  • Analyze how customers use features to inform future product roadmaps.
  • Work with the Validation team to categorize and visualize safety-related events and hardware failures to improve fleet reliability.
  • Assist in refining the data ingestion process to ensure critical robot truths are captured and reported accurately.
  • Design and generate visualizations that translate robot telemetry into business-critical insights to help customers make data-driven decisions on facility staffing and operational scaling.
Desired Qualifications
  • Experience with Robot Operating System (Robot Operating System) and rosbag analysis.

Robust.AI creates AI-powered robotic systems for manufacturing and warehouse logistics. The core products are collaborative robots that work alongside humans to handle dynamic, changing workflows in facilities like warehouses and factories. These systems typically include autonomous robotic fleets, sensors, and software that coordinates tasks, ensuring safe interaction with people and adapting to different tasks in real time. The company earns revenue by selling robotic hardware and by offering ongoing service and maintenance contracts. Its approach centers on integrating intelligent automation with existing operations to improve productivity, safety, and efficiency, with notable clients such as DHL Supply Chain. The goal is to help businesses reduce operating costs and increase throughput by deploying adaptable, scalable robotic solutions that fit varied industrial environments.

Company Size

51-200

Company Stage

Series A

Total Funding

$42.5M

Headquarters

San Carlos, California

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • July 28, 2026 O'Neill Logistics ordered 24 Carter robots across Monroe and Savannah.
  • December 2, 2025 DHL Supply Chain launched a five-year alliance and 15-unit Mexico rollout.
  • Foxconn partnership and Fast Company 2026 recognition strengthen production capacity and enterprise credibility.

What critics are saying

  • O'Neill Logistics and DHL Mexico concentrate revenue in logistics; one lost rollout hurts 2026 bookings.
  • Q4 2026 O'Neill go-live and 2026 DHL integration test whether Carter scales beyond pilots.
  • Foxconn manufacturing dependence creates existential risk; missed production ramps choke deployments, service revenue, and credibility.

What makes Robust.ai unique

  • Carter deploys without fixed infrastructure, letting warehouses automate around existing layouts and workers.
  • Robust.AI pairs human-centered controls with Aptiv PULSE radar-vision perception for Gen 3 Carter.
  • Software-defined Carter handles picking, transport, and mobile sorting on one RaaS platform.

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Benefits

Stock Options

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

1%

2 year growth

6%
Tech Trailblazers
Jul 31st, 2026
Seven Tech Trailblazers alumni making waves in the news.

Seven Tech Trailblazers alumni making waves in the news. Posted by rax lakhani | 31/07/2026 Here at Tech Trailblazers, Tech Trailblazers is proud to celebrate the continued momentum of the startups and scaleups recognised by the Tech Trailblazers Awards. From AI-powered security and embedded global connectivity to autonomous cloud management, warehouse robotics and agentic developer tools, the team here at Tech Trailblazers Towers has spotted seven standout alumni stories published or shared between 24 and 30 July 2026. Robust.AI brings collaborative robotics to two O'Neill Logistics facilities. Congratulations to Robust.AI, which has announced a new partnership with O'Neill Logistics to deploy 24 Carter collaborative mobile robots across distribution centres in Monroe, New Jersey, and Savannah, Georgia. The deployment, planned for the fourth quarter of 2026, will support fulfilment operations spanning retail, direct-to-consumer and omnichannel customers. Carter is designed to work alongside existing warehouse teams and infrastructure, helping organisations introduce automation without rebuilding facilities around the technology. Robust.AI was named the 2025 Robotics Trailblazers winner, making this a particularly fitting next chapter for a company recognised for advancing practical, collaborative robotics. Abnormal AI expands its behavioural security platform. Abnormal AI has unveiled a significant expansion of its Behavioral Security Platform, introducing Identity Threat Protection, AI Governance and Infiltration Prevention alongside an AI App Store. The additions are designed to help security teams address identity attacks, govern the use of AI applications and detect threats attempting to gain an initial foothold inside an organisation. The new capabilities are due to become generally available from 3 August 2026. Originally recognised as Abnormal Security, the company was the 2020 Security Trailblazers winner and subsequently a 2023 runner-up in both the AI and Security categories. Its latest platform expansion brings those two areas of expertise together as AI adoption creates new identity, application and data-security challenges. Gigs powers travel eSIMs inside the Starling app. Congratulations also go to Gigs, which is powering a new travel eSIM service from UK digital bank Starling. Starling customers can purchase and manage mobile-data plans directly within the banking app, with packages covering more than 130 countries. Customers can choose from 1GB, 3GB, 5GB or 10GB plans, each valid for 30 days. It is a compelling example of embedded connectivity moving into a familiar financial-services environment, reducing the need for travellers to arrange a separate physical SIM or use another application. Gigs was a 2024 Telecoms Trailblazers runner-up, recognised for its work in making mobile connectivity programmable and easier for companies to integrate into their products. IRONSCALES exposes a two-stage phishing technique. IRONSCALES has published proprietary threat research detailing a two-stage banking scam designed to evade traditional email-security scanners. According to its analysis, the attackers used legitimate ServiceNow outbound infrastructure and divided the malicious journey across two messages. The first email avoided including the dangerous link, helping it pass authentication checks and appear clean to a legacy gateway. The malicious destination was introduced later in the exchange. The research provides a useful warning that authentication signals alone do not establish whether the intent behind an email is trustworthy. IRONSCALES was a 2017 Security Trailblazers runner-up, and its continuing work on evolving social-engineering and phishing techniques remains closely aligned with that recognition. CAST AI receives a 2026 CloudX Award. CAST AI has been named the Cloud Management winner in the 2026 CloudX Awards, presented by DevNetwork. The award recognises technology helping organisations manage and optimise increasingly complex cloud environments. CAST AI is due to be recognised at the official CloudX Awards ceremony in Santa Clara on 1 September 2026. CAST AI was a 2024 Cloud Trailblazers runner-up, and this latest recognition reflects the company's continued progress in cloud and Kubernetes optimisation. Congratulations to the CAST AI team on adding another industry accolade to the cabinet. StackHawk takes its AppSec Wingman to Black Hat USA. Developer-security alumnus StackHawk has been introducing its new AppSec Wingman ahead of Black Hat USA, taking place from 3 to 6 August. Designed to work inside AI coding environments and agents such as Claude Code and Cursor, Wingman supports a continuous "find, fix and verify" application-security workflow. Rather than leaving security testing until the end of development, the approach is intended to give developers security guidance while code is being created and changed. StackHawk will demonstrate the technology at its Black Hat booth. StackHawk was a 2023 Developer Trailblazers runner-up. Its latest work reflects a major shift in the developer-tooling sector as security vendors adapt their products for AI-assisted and agentic software development. Kong data highlights the rise of multi-model AI estates. Kong has amplified fresh observations from AI Gateway usage across hundreds of enterprises, indicating that multi-model AI deployments are rapidly becoming the norm. The company's public LinkedIn feed reported that 62 per cent of organisations in the dataset were using at least two models, while 20 per cent were running six or more. One customer environment had recorded 602 distinct model identifiers. These company-reported figures underline the governance and operational challenge emerging as organisations combine commercial, open-source and specialised models rather than standardising on one provider. AI gateways are increasingly becoming a control point for routing, observability, security and cost management across these environments. Kong was a 2020 Developer Trailblazers runner-up, recognised well before today's generative-AI boom for technology that helps organisations manage connections between applications and services. Celebrating continued alumni momentum. Tech Trailblazers congratulate all of its previous Tech Trailblazer Awards winners and runners-up on the progress they continue to make across their respective industries. These seven updates demonstrate the breadth of innovation within its alumni community - from robots working alongside warehouse teams and connectivity embedded inside banking apps to security platforms responding to identity attacks, AI-generated code and increasingly sophisticated phishing campaigns. For founders building the next generation of cloud, AI, cybersecurity, developer, telecoms, robotics or other enterprise technologies, entries for the Tech Trailblazers Awards 2026 offer an opportunity to join this global community of innovators. Entrants should be privately held technology startups or scaleups, generally at Series C funding or below, less than ten years old at the time of entry, and operating in - or directly relevant to - one of the Tech Trailblazers Awards categories. Please check the latest eligibility details before submitting an entry. Rose Ross Chief Trailblazer and Founder Tech Trailblazers Awards

Robotics Tomorrow
Jul 28th, 2026
Robust.AI partners with O'Neill Logistics to deploy 24 Carter(TM) robots across two distribution centers.

Robust.AI partners with O'Neill Logistics to deploy 24 Carter(TM) robots across two distribution centers. Collaborative mobile robots will boost productivity and accelerate fulfillment at O'Neill's dynamic and busy distribution facilities SAN FRANCISCO, July 28, 2026 - Robust.AI, a leader in AI-driven warehouse automation, today announced a partnership with O'Neill Logistics, a leading third-party logistics provider (3PL) operating nearly 2 million square feet of omnichannel distribution space across the East Coast and California. Under the agreement, Robust.AI will deploy 24 Carter(TM) collaborative mobile robots across O'Neill's distribution facilities in Monroe, NJ and Savannah, GA, with go-live planned for Q4 2026. More headlines. Articles. The deployment will support both retail and direct-to-consumer (DTC) fulfillment operations at O'Neill's Monroe, NJ facility, and omnichannel order fulfillment at its Savannah, GA campus, a 1 million square foot facility launched in 2023 to serve O'Neill's growing customer base. Carter will support O'Neill's warehouse associates by automating repetitive material handling tasks, reducing unproductive walking, and enabling faster, more flexible order fulfillment across both sites without requiring fixed infrastructure investment. "We needed automation that would make our associates more productive without adding complexity to the floor," said Stephen Reilly, Director of Industrial Engineering, O'Neill Logistics. "Robust.AI's system-directed picking, light-directed putting, and the ability to run a lean fleet gave us everything we were looking for. We're confident this is the right platform to grow with as our business scales across both sites." Robust.AI's Carter(TM) is a collaborative mobile robot designed to augment existing warehouse operations and workforces. Carter's software-defined functionality allows facilities to operate via order fulfillment picking, point-to-point transport, and mobile sorting without additional hardware investment. Its drop-in automation capabilities and performance-based RaaS model enable 3PLs like O'Neill to deploy quickly and scale flexibly in response to customer demand. "At Robust.AI, we build automation that works for people, not just around them," said Anthony Jules, co-founder and CEO of Robust.AI. "O'Neill Logistics has built its reputation on engineering smarter supply chains for its customers. Carter is designed to slot into exactly that kind of dynamic, high-velocity environment, delivering productivity gains from day one while empowering the people on the floor." About O'Neill Logistics Founded in 2012, O'Neill Logistics is a family-owned, national third-party logistics (3PL) provider specializing in transportation, warehousing, and omnichannel distribution services. The company operates nearly 2 million square feet of strategically located distribution space near major ports in New Jersey, Georgia, and California. O'Neill Logistics serves many of the nation's leading brands across the retail apparel, food and beverage, consumer goods, sporting goods and e-commerce sectors. For more information, visit www.oneilllogistics.com. About Robust.AI Founded in 2019, Robust.AI brings together real-world physical AI and user-centric design to make robots that work for people. The company's flagship robot, Carter(TM), combines industry-leading commercial robotics and groundbreaking human-robot interaction to make it broadly useful, effortless to adopt, and delightful to use. Robust.AI's solutions prioritize seamless, safe human-robot collaboration to drive higher productivity across picking, putaway, value-added service and material handling, no infrastructure changes required. For more information, visit www.robust.ai.

ShipLab
Jul 8th, 2026
ShipLab partners with Robust.AI to bring collaborative robots to our Vista fulfillment center.

ShipLab partners with Robust.AI to bring collaborative robots to its Vista fulfillment center. ShipLab LLC has some exciting news to share. ShipLab is partnering with Robust.AI, a leader in AI-driven warehouse automation, to deploy Carter collaborative mobile robots at its Vista, CA facility. The first phase goes live this July. Why ShipLab LLC is investing in warehouse automation. Ecommerce fulfillment keeps getting faster, and its clients expect ShipLab LLC to keep up. Adding Carter robots to its operation means quicker tote movement between fulfillment and packing stations, more capacity as ShipLab LLC grow, and more time for its team to focus on the work that requires a human touch. What it doesn't mean is any change to the accuracy and speed its clients count on. Its 99.9% accuracy standard and same-day shipping commitments stay exactly where they are. Automation is here to support that standard, not replace the people behind it. Carter is designed to work alongside its warehouse team, with no changes to its existing facility required. A crawl, Walk, Run approach. ShipLab LLC didn't want to flip a switch and hope for the best. Robust.AI structured this deployment as a phased "Crawl, Walk, Run" model, which was a big part of why this partnership made sense for ShipLab LLC. Here's how it works. ShipLab LLC start with a pilot where Carter automates tote transport between its fulfillment and packing stations. Once performance is validated, ShipLab LLC expand to a full fleet of Carter robots working across its picking operation. At each phase, ShipLab LLC confirm the system is hitting its targets before ShipLab LLC scale, and payments are deferred until it does. As its CEO Jake Brenner put it, every technology investment has to earn its place. This model lets ShipLab LLC prove the system works in its environment, at its pace, without disrupting the operation its clients rely on every day. What this means for your brand. If you're a ShipLab client, or thinking about becoming one, this partnership is about one thing: building a fulfillment operation that scales with you. Faster internal workflows mean orders move through its facility quicker. More capacity means ShipLab LLC can support your growth without compromising on accuracy or speed. ShipLab LLC'll share updates as the deployment expands. In the meantime, you can read the full announcement on GlobeNewswire or learn more about Carter at robust.ai. Ready to grow with a 3PL that invests in getting fulfillment right? Get in touch with its team.

Business Wire
Jun 23rd, 2026
Robust.AI selects Aptiv's PULSE sensor fusion tech for Gen 3 Carter warehouse robot

Robust.AI has selected Aptiv's intelligent perception solutions, powered by the PULSE sensor, for its Gen 3 Carter collaborative mobile robot. The system uses AI and machine learning-based sensor fusion, combining radar and vision to enable reliable 360-degree sensing whilst reducing blind spots and system complexity. PULSE fuses radar and vision using AI on raw sensor detections, supporting depth map creation and occupancy grid population for navigation and functional safety. This addresses challenges in dynamic warehouse environments including dust, glare, moisture and reflective surfaces that can degrade conventional perception systems. Aptiv is advancing towards Performance Level d certification for PULSE across relevant industrial safety use cases, a high-reliability classification for hazardous robotics applications. Carter will be displayed at Automate 2026 at Aptiv's booth.

New Equipment Digest
Jun 23rd, 2026
Robust.AI selects Aptiv perception system for Gen 3 Carter robot.

Robust.AI selects Aptiv perception system for Gen 3 Carter robot. Aptiv's radar-camera PULSE sensor brings 360-degree perception and a path to ISO 13849-1 PL(d) safety certification to Robust.AI's Carter robot. June 23, 2026 Robust.AI has selected Aptiv's PULSE sensor-based perception system for its Gen 3 Carter collaborative mobile robot, with the two companies also working toward Performance Level d (PL(d)) functional safety certification for industrial robotics applications. The PULSE sensor fuses radar and vision using AI and machine learning on raw sensor detections. Early fusion of sensor inputs supports depth map creation and occupancy grid population for navigation and functional safety. A surround-view camera combined with ultra-short-range radar provides 360-degree sensing while reducing blind spots, cost, and system complexity. The system is paired with Robust.AI's vSLAM and AI perception technologies. "Scale adoption of robotics requires safety critical perception that spans the dynamic conditions experienced in the real world," said Jay Bellissimo, Senior Vice President and President, Intelligent Systems, Software and Services, Aptiv. "By bringing PULSE to the Gen 3 Carter robot, we're helping enable a more comprehensive and scalable approach to warehouse automation, while supporting a path toward the functional safety requirements increasingly demanded by these applications and the broader market of Physical AI." The selection targets the reliability challenges common in warehouse, manufacturing floor, and cold storage environments - settings where obstructions, dust, glare, moisture, and reflective surfaces can degrade conventional perception systems. "Carter is built to work with people in real warehouse and manufacturing environments, so perception quality, system reliability, and ease of deployment matter enormously," said Anthony Jules, Co-founder and CEO at Robust.AI. "Aptiv's PULSE sensor brings a differentiated camera-and-radar approach that further enables Carter to drive market-leading performance and productivity in complex environments." PL(d), defined under ISO 13849-1, is a high-reliability safety classification used for hazardous robotics applications. Aptiv is advancing toward that certification for PULSE across relevant industrial safety use cases as robots take on higher degrees of automation near people and equipment. Carter is a collaborative mobile robot designed to augment warehouse operations without requiring infrastructure changes. Its software-defined functionality supports order fulfillment picking, point-to-point transport, and mobile sorting, with a performance-based robotics-as-a-service (RaaS) model. Aptiv and Robust.AI will demonstrate Carter at Automate 2026, booth #3291. A related session - Camera + Radar Sensor Fusion: A Practical Path to Robust, Scalable 3D Perception - is scheduled for Thursday, June 25, 10:30-11:00 a.m. CDT at the Automate Innovation Stage, booth #19046. Editor-in-Chief, New Equipment Digest. Laura Davis is the editor in chief of New Equipment Digest (NED), a brand part of the Manufacturing Group at EndeavorB2B. NED covers all products, equipment, solutions, and technology related to the broad scope of manufacturing, from mops and buckets to robots and automation. Laura has been a manufacturing product writer for eight years, knowledgeable about the ins and outs of the industry, along with what readers are looking for when wanting to learn about the latest products on the market. Great question: A manufacturing podcast. Manufacturers from chemical producers to automakers to machine shops gain for critical insights into the technologies, economic conditions and best practices that can influence how to best run facilities to reach operational excellence. Tune in Now!

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