Company profile

SandboxAQ Tech Stack

AI and quantum software built on large quantitative models for industry

Software Development Palo Alto, CA 51–200 employees Founded 2021 Privately Held

SandboxAQ builds AI and quantum software, pairing quantum SDKs (Qiskit, Pennylane, Cirq) and VASP materials simulation with PyTorch, JAX and Hugging Face for ML. DO-178C and Embedded Linux point to avionics-grade navigation hardware work alongside cloud SaaS. Senior-and-above dominates the hiring mix, with engineering and research leading and a push to move prototypes into production AI products.

Tech Stack 37 technologies

Core StackPython NumPy PyTorch AWS Kubernetes Salesforce Marketo Terraform C++ React Kotlin Go Rust JavaScript TypeScript LangChain TensorFlow Java Kafka Docker Qiskit Pennylane Cirq VASP GCP Embedded Linux AWS EMR Hugging Face Transformers JAX DO-178C+6 more

What SandboxAQ Is BuildingChallenges and projects from their job posts

◆Challenges

Scaling production deployment of ML models
Scaling core services for global demand
Building a HIPAA-compliant data platform
Lack of marketing data integration
Reducing reliance on rare earth elements
Validating viability of AI-first products

▲Active Projects

AI generation engine (SAIGE)
Data pipelines for LQMs
Distributed training pipelines
Foundational platform services
Moving prototypes into AI-first SaaS products
Finance and risk modeling portfolio

Hiring Activity

Steady30 roles · 6 in 30d

Department

Engineering

Research

Product

Marketing

Design

Legal

Security

Seniority

Senior

Staff

Director

Mid

Manager

Principal

Companies like SandboxAQ

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About SandboxAQ

SandboxAQ is a privately held B2B company headquartered in Palo Alto, CA, founded in 2021 and now operating with 51–200 employees. It develops large quantitative models (LQMs) and AI plus quantum software for life sciences, financial services, navigation, cybersecurity and national security. Its stack spans Python, C++, Rust, Go and Kotlin on AWS and GCP, with Kubernetes, Terraform and Kafka for infrastructure. Go-to-market runs on Salesforce and Marketo, and hiring is concentrated in the United States.

HeadquartersPalo Alto, CA

Company Size51–200 employees

Founded2021

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does SandboxAQ use?

SandboxAQ uses Python, PyTorch, JAX and TensorFlow for ML, Qiskit, Pennylane and Cirq for quantum work, plus AWS, GCP, Kubernetes, Terraform, Kafka, and Salesforce with Marketo.

Is SandboxAQ hiring engineers?

Yes. Engineering and research lead its hiring, with most openings at senior, staff or director level, all based in the United States, alongside product and marketing roles.

What is SandboxAQ working on?

Active projects include foundational platform services, distributed training pipelines, data pipelines for its LQMs, an AI generation engine called SAIGE, and a finance and risk modeling portfolio.

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How this profile is built

SandboxAQ's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.