RoboForce Tech Stack

Physical AI platform for autonomous industrial robotics

Robotics Engineering Milpitas, California 51–200 employees Founded 2023 Privately Held

RoboForce develops robotic systems for industrial deployment, with a tech stack anchored in PyTorch, JAX, and TensorFlow for ML training, paired with embedded systems tools (ROS, RTOS, Embedded Linux) for robot control. The company is actively recruiting across AI/ML infrastructure and research—distributed training pipelines, vision-language models, and spatial reasoning for foundation models—while grappling with core hard-tech challenges: scaling GPU clusters, deploying models onto hardware, and maintaining fleet traceability across complex release cycles.

Tech Stack 61 technologies

Core StackPyTorch C++ Python AWS Kubernetes PostgreSQL MySQL BigQuery Elasticsearch Redis TensorFlow SolidWorks AutoCAD Jira Linux Docker Grafana Google Scholar JAX GCP Azure CUDA NVMe TensorRT Arena PLM Notion Foxglove Embedded Linux RTOS ROS+31 more

What RoboForce Is Building

◆Challenges

Scaling ai infrastructure
High-scarcity ai talent
Positioning in competitive deep tech market
High-performance platform for physical ai
Scaling training jobs across gpu clusters
Deploying ai models on robots
Fast-moving ai/ml pipelines
Ensuring hardware and software compatibility
Maintaining fleet traceability
Managing complex release cycles

▲Active Projects

Ai/ml research recruiting
Traversability analysis pipelines
Ml infra recruiting
Distributed training pipelines
High-throughput data workflows
Cloud-native gpu infrastructure
Vision-language model development
Foundation model spatial reasoning
Multi-modal data integration
Object detection and pose estimation

Hiring Activity

Minimal20 roles · 2 in 30d

Department

Engineering

Marketing

Manufacturing

Product

Research

Seniority

Senior

Lead

Manager

Mid

Company intelligence

Find more companies like RoboForce by tech stack, pain points and active projects

Get started free

About RoboForce

RoboForce, founded in 2023 and based in Milpitas, California, builds autonomous robotic systems for demanding industrial environments. The 51–200-person team is structured around engineering (12), marketing (3), and specialized functions in research, product, and manufacturing. The company is deeply invested in computer vision, multi-modal perception, and foundation models for spatial reasoning—core to deploying AI-driven robots at scale. Current hiring is concentrated in senior engineering and ML infrastructure roles, reflecting the talent scarcity and complexity of bridging AI research with hardware deployment.

HeadquartersMilpitas, California

Company Size51–200 employees

Founded2023

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does RoboForce use?

PyTorch, JAX, TensorFlow, and CUDA for ML. Python and C++ for core development. AWS, GCP, and Azure for cloud infrastructure. PostgreSQL, BigQuery, and Elasticsearch for data. ROS, RTOS, and Embedded Linux for robot control and embedded systems.

What is RoboForce working on?

Distributed training pipelines, vision-language model development, foundation model spatial reasoning, traversability analysis, object detection and pose estimation, and multi-modal data integration. Active recruitment in AI/ML research and infrastructure signals focus on scaling training and deployment.