Full-Time

Senior Computer Vision / Applied AI Engineer

Updated on 9/3/2026

Simbe Robotics

Simbe Robotics

51-200 employees

Autonomous retail robots for inventory management

Compensation Overview

$160k - $200k/yr

San Francisco, CA, USA

Hybrid

Hybrid work is required in the San Francisco Bay Area.

Category
AI & Machine Learning (1)
Required Skills
Python
TensorFlow
CUDA
PyTorch
Machine Learning
Data Engineering
C/C++
Robotics
Computer Vision
Linux/Unix
Product Design

Get referred to Simbe Robotics

See people who can refer or advise you

Requirements
  • At least 5 years of experience in computer vision, applied machine learning, robotics perception, or related production artificial intelligence systems.
  • Strong Python experience and hands-on experience with PyTorch or TensorFlow.
  • Demonstrated experience using artificial intelligence-assisted coding and automation tools to accelerate software development, debugging, experimentation, and engineering workflows, with sound judgment when validating and reviewing generated output.
  • Experience training and evaluating object detection, segmentation, optical character recognition, visual search, or image recognition models, along with strong knowledge of dataset curation, annotation quality, model evaluation, error analysis, and experimentation.
  • Experience building maintainable production code and data pipelines in a Linux-based environment.
  • Ability to balance research quality with production constraints such as latency, compute, memory, robustness, and ease of deployment.
  • Strong communication skills and a customer-value mindset.
Responsibilities
  • Design, train, validate, and deploy production computer vision models for object detection, segmentation, optical character recognition, barcode localization, product recognition, shelf understanding, and other customer-facing computer vision tasks.
  • Curate, clean, version, and analyze large real-world training datasets, including hard-negative mining, annotation quality assurance, data audits, and active-learning workflows.
  • Research and implement improvements to model architecture, loss functions, data augmentation, synthetic data, and evaluation to increase precision, recall, latency, and robustness across customers.
  • Contribute to model validation, release gates, inference wrappers, ONNX and TensorRT exports, and production monitoring.
  • Build internal tools for model evaluation, annotation review, error mining, data visualization, dataset exports, and deployment readiness.
  • Work closely with Product, Customer Success, Data, Robotics Software, and Field Operations to turn customer issues into model and pipeline improvements.
  • Track modern work in open-vocabulary detection, promptable segmentation, multimodal product understanding, visual search, optical character recognition, and edge inference, and evaluate opportunities to create value.
Desired Qualifications
  • Experience with retail, product recognition, shelf intelligence, optical character recognition, barcode decoding, fine-grained recognition, or visual product search.
  • Experience with ONNX, TensorRT, CUDA, quantization, model profiling, or edge deployment.
  • Experience with C++, ROS or ROS2, RGB-D cameras, 3D geometry, homography, calibration, or robotic perception.
  • Experience with FiftyOne, CVAT, Labelbox, Roboflow, or other data-centric machine-learning tools.
  • Experience with synthetic data generation, simulation, active learning, or automated annotation workflows.
  • Publications, patents, open-source contributions, or production systems in relevant computer vision or artificial-intelligence domains.

Simbe Robotics builds autonomous robots for retail stores to improve inventory management and store operations. Its flagship robot, Tally, uses sensors to move through store aisles, detect out-of-stock items, and verify that products are correctly shelved and priced. While collecting data across the store, Simbe processes this information in a backend system to produce actionable insights that help retailers cut losses, optimize shelf space, and boost customer satisfaction. The company generates revenue by selling or leasing robots and offering data analytics services to retailers. What sets Simbe apart is its end-to-end, in-store automation plus analytics tailored to retail needs, combining physical robot performance with data-driven recommendations to reduce manual labor and improve store efficiency. The main goal is to help retailers operate more efficiently, cut costs, and provide better shopping experiences for customers.

Company Size

51-200

Company Stage

Series C

Total Funding

$104M

Headquarters

San Francisco, California

Founded

2014

Get referred to Simbe Robotics

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • HomeBase USA expanded Simbe chainwide July 30, 2026 after a three-month pilot.
  • SPAR Austria and Tesco trials in July 2026 signal continued European expansion.
  • Simbe's Europe partnership with Solum and FMI roles strengthen distribution and category credibility.

What critics are saying

  • Simbe's 2026 hiring slowed sharply; Revelio showed only eight active postings by March.
  • Retailers can replace Simbe with ESL and vision vendors like Solum and market incumbents.
  • If chainwide pilots stall, Simbe's hardware-heavy RaaS model burns cash before recurring scale.

What makes Simbe Robotics unique

  • Tally 4.0 launched January 12, 2026 with 12-hour runtime and 360° sensing.
  • Simbe runs chainwide deployments across thousands of locations in 10 countries.
  • Simbe now combines robots, fixed sensors, RFID, and computer vision into one platform.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Professional Development Budget

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

2%
SalesTech Star
Sep 3rd, 2026
Simbe expands leadership as retailers scale physical AI across the enterprise.

Simbe expands leadership as retailers scale physical AI across the enterprise. Claudia Molina joins Simbe as Vice President of Client Success, while Caitlin Allen and Benjamin Bond assume new FMI leadership roles focused on foundations of AI-powered retail. As retailers scale physical AI across their enterprises, they are gaining something the industry has long lacked: a continuous, real-time understanding of what is physically true inside stores. That ground truth is becoming a critical foundation for AI-powered operations, enabling retailers to take more intelligent action across merchandising, fulfillment, supply chain and the broader retail ecosystem. To help retailers realize that opportunity at scale, Simbe, the leading platform for shelf intelligence, announced the appointment of Claudia Molina as Vice President of Client Success, alongside new industry leadership roles for Senior Vice President of Marketing Caitlin Allen and Senior Vice President of Strategy & Client Success Benjamin Bond at Food Marketing Institute (FMI). Together, the appointments expand Simbe's leadership both in helping global retailers translate physical intelligence into enterprise value and in advancing the industry practices that will shape the future of AI-powered retail. As Vice President of Client Success, Molina will help Simbe's growing base of global retailers translate that intelligence into enterprise transformation and sustained business value. She joins Simbe following leadership roles at Meta, JPMorgan and American Express, where she led customer strategy, operational transformation and enterprise growth initiatives. At Simbe, she will guide executive customer relationships, long-term success strategies and transformation programs as retailers expand physical AI across hundreds and thousands of locations. "Physical AI offers an entirely new operating layer for retail," said Brad Bogolea, CEO and Co-Founder of Simbe. "The opportunity extends beyond identifying what's happening on a shelf. Trusted, real-time ground truth of the store enables retailers to orchestrate actions across channels. Claudia brings the strategic and enterprise experience to help our clients realize that value at scale." Simbe's expanding leadership within FMI reflects the company's growing role in advancing that transformation across the industry. Allen has been appointed to FMI's Daunting Data Dilemma Industry Task Force, where she will contribute to industry efforts focused on retail data quality, interoperability and real-time operational visibility. Bond has joined FMI's Fresh Food Leadership Council, contributing expertise to initiatives focused on improving forecasting, reducing food waste and increasing visibility across fresh operations. Both areas represent increasingly important challenges as retailers adopt AI. The quality of AI-driven decisions depends on the quality of the underlying data, including an accurate understanding of product availability, location, pricing, promotions and inventory conditions inside physical stores. "We're pleased to welcome Caitlin Allen and Benjamin Bond to these important industry leadership roles, where their combination of retail expertise, technology leadership and operational perspective will strengthen the work of our committees," said Doug Baker, Vice President of Industry Relations at FMI. "We look forward to collaborating with them as FMI's Daunting Data Dilemma Industry Task Force and Fresh Food Leadership Council advance practical frameworks and best practices for the food retail industry." The appointments build on a period of significant expansion for Simbe as retailers increasingly standardize physical intelligence across their enterprises. Simbe's platform combines proprietary robotics, computer vision, RFID, fixed sensors, edge AI and enterprise software to create a continuously updated picture of store conditions and orchestrate the actions that follow. That foundation is designed to make physical retail increasingly intelligent: first establishing trusted ground truth, then turning that intelligence into workflows and applications that help people operate stores even more effectively. With deployments across thousands of locations in nearly a dozen countries, Simbe is building the physical intelligence infrastructure connecting the store to the increasingly AI-powered systems, teams and channels that depend on it.

Citybiz
Jul 21st, 2026
Simbe appoints Sean Reardon to lead field operations amid global retail expansion.

Simbe appoints Sean Reardon to lead field operations amid global retail expansion. July 21, 2026 Sean Reardon Simbe has appointed Sean Reardon as vice president of field operations, expanding its executive leadership team as retailers accelerate investments in store intelligence and shelf digitization technologies to support enterprise-scale operations. The appointment comes as demand grows for AI-powered retail technologies that help improve inventory accuracy, product availability and in-store execution. According to Coresight Research, 60% of retailers are actively investing in store intelligence technologies, while another 37% plan to invest within the next year, reflecting a broader shift from pilot programs to chainwide deployments. Reardon will oversee Simbe's global field operations, implementation strategy and deployment execution, helping retailers scale store intelligence across large store networks. His addition supports the company's continued global expansion as enterprise customers seek technology partners capable of delivering complex rollouts across hundreds or thousands of locations. "Shelf digitization has reached an inflection point," said Brad Bogolea, chief executive officer and co-founder of Simbe. "The industry's interest in digitizing stores is accelerating as retailers deploy it across hundreds or thousands of locations. Sean's operational leadership strengthens our ability to deliver enterprise excellence while continuing to define the future of intelligent retail operations." Reardon brings extensive experience deploying autonomous technologies at scale. Before joining Simbe, he held leadership positions at AiFi, Gideon and SoftBank Robotics America, where he built and managed organizations responsible for implementing automation solutions for enterprise customers. His background aligns with Simbe's strategy of supporting retailers as they move beyond limited technology pilots to enterprise-wide deployments. The executive hire follows a period of continued growth for the company, which has expanded deployments across grocery, club, farm supply and home improvement retailers. Simbe said it now supports chainwide deployments across more retail banners than any other provider in the shelf digitization market, reinforcing its position as retailers increasingly prioritize real-time operational visibility. The company has also continued to gain industry recognition for safety certifications related to autonomous retail technologies, an important consideration as retailers integrate robotics and AI into everyday store operations. As adoption expands, retailers are placing greater emphasis on technologies that can operate safely alongside employees while delivering measurable improvements in inventory management and store execution. Simbe's platform combines autonomous Tally inventory robots with fixed sensors, RFID, computer vision and artificial intelligence to provide real-time visibility into shelf conditions. The integrated system is designed to help retailers identify out-of-stock products, pricing discrepancies and merchandising issues while providing store teams with actionable operational data. The company says its technology is deployed across thousands of retail locations in 10 countries, supporting store associates, improving inventory accuracy and providing operational intelligence across the broader retail ecosystem. As retailers continue investing in automation and AI to improve efficiency and enhance the customer experience, Simbe is positioning itself as a provider of enterprise-scale physical AI infrastructure. The addition of Reardon reflects the company's focus on strengthening its implementation capabilities as large retail organizations increasingly seek partners that can support global deployments and long-term operational success.

PR Newswire
Jul 21st, 2026
Simbe appoints Sean Reardon as VP to support global retail intelligence expansion

Simbe, a shelf digitisation and store intelligence provider, has appointed Sean Reardon as vice president of field operations to support its global expansion. Reardon previously held leadership positions at AiFi, Gideon, and SoftBank Robotics America, where he deployed autonomous technologies at enterprise scale. The appointment comes as retailers accelerate investments in store intelligence. According to Coresight research, 60% of retailers are actively investing in such technologies, whilst another 37% plan to invest within the next year. Simbe operates across thousands of locations in 10 countries, using AI-powered robots, sensors, RFID, and computer vision to provide real-time store intelligence. The company serves grocery, club, farm supply, and home improvement retailers with chainwide deployments.

PR Newswire
Jun 9th, 2026
B&R Stores deploys Simbe's Tally inventory robot across Nebraska locations

B&R Stores, a family-owned grocery operator in Nebraska, has deployed Simbe's Tally autonomous shelf-scanning robot to select locations in Lincoln. The technology captures real-time shelf-level data on product availability, pricing and placement to help store teams respond faster and improve the shopping experience. Tally automates manual inventory tasks that typically consume up to 30 hours weekly per store, freeing associates to focus on customer service and replenishment. The robot recently achieved UL 3300 certification, validating its safety in public retail environments. B&R Stores operates multiple supermarket banners including Russ's Market, Super Saver and Allen's across Nebraska, Iowa and Missouri. Simbe's platform is now deployed across 10 countries in various retail sectors including grocery and home improvement.

ASRock Industrial Computer Corporation
May 29th, 2026
2026-05-29 [case study] Simbe elevates autonomous retail Store Intelligence with ASRock Industrial NUC-255H.

2026-05-29 [case study] Simbe elevates autonomous retail Store Intelligence with ASRock Industrial NUC-255H. Introduction As retailers increasingly rely on real-time data to optimize store operations, physical AI & automation systems are becoming essential to ensure accuracy and efficiency at scale. To support this transformation, Simbe partnered with ASRock Industrial to enhance the performance and reliability of its Tally autonomous shelf-scanning robot, part of the larger Store Intelligence(TM) platform. Built using ASRock Industrial's NUC-255H Industrial Motherboard, the system acts as the core computing platform, enabling real-time sensor fusion, navigation, and AI processing within fast-charging retail environments. This integration enhances operational consistency while supporting scalable deployment of intelligent, data-driven retail solutions. As Tally scaled globally to thousands of cities across 10 countries, both the system's capabilities and the demands on its compute platform evolved to support more advanced AI and navigation. Supporting these next-generation capabilities required a platform that could reliably operate under elevated temperatures, provide greater thermal headroom for increasingly advanced AI workloads, and enable long-term, always-on operation. Scaling innovation across a growing fleet also required a system optimized for consistency, reliability, and efficient deployment of new features. These evolving requirements highlighted the need for a more robust, purpose-built compute platform to support Tally's next phase of growth and innovation. To overcome these challenges, Simbe implemented ASRock Industrial's NUC-255H motherboard as the core compute platform for Tally 4.0, enabling a more robust and scalable foundation for autonomous navigation and operation. Acting as the central processor, the NUC-255H performs real-time sensor fusion to provide Tally with even more accurate awareness of its position and surroundings within dynamic retail environments. With its industrial-grade design, advanced Intel platform with integrated NPU for edge AI workloads, and expanded I/O for sensor integration, the system supports reliable and efficient operation. Through close collaboration between Simbe and ASRock Industrial engineering teams, a custom BIOS was also developed to enable secure boot using Simbe's signing key to protect customer data, streamline production with preconfigured settings, and support a branded system experience. * Enhanced Performance and Stability Delivers consistent system performance under sustained workloads, ensuring reliable operation in dynamic retail environments. * Improved Efficiency and Power Optimization Achieves approximately 20% lower power consumption while supporting advanced AI and navigation workloads. * Scalable Platform for Continuous Innovation Provides the flexibility to deploy new features and expand Tally's capabilities as AI and autonomy requirements evolve in complex store environments. Related Product