Full-Time
Quantum Resident
SandboxAQ
201-500 employees
AI and quantum security solutions
Compensation Overview
$69.1k - $129.6k/yr
Remote in USA
Remote
PhD
 Academic & Institutional Research (1) |
|---|
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- Be enrolled in, or have recently completed, a PhD in physics, chemistry, computational mathematics, electrical or computer engineering, or a related field.
- Have demonstrated research experience with near-term quantum algorithms for electronic structure, such as VQE, ADAPT-VQE, quantum-selected configuration interaction, sample-based quantum diagonalization, quantum Krylov, or subspace diagonalization methods.
- Have experience producing quantum resource estimates, including circuit depth, gate counts, and measurement or shot requirements, and reasoning about their implications for practical feasibility.
- Be proficient in Python and at least one quantum software development kit, such as Qiskit, PennyLane, Cirq, or an equivalent.
- Have a track record of reproducible computational work.
- Have evidence of independent research output, such as peer-reviewed publications or preprints.
- Be able to drive a project with light day-to-day supervision.
- Investigate and extend quantum computing methods in chemistry and their applications to Large Quantitative Models.
- Benchmark quantum methods against the classical frontier, establishing where the best available classical methods remain sufficient and where they stop.
- Collaborate with SandboxAQ scientists and external academic collaborators.
- Translate findings for technical and non-technical audiences.
- Publish a public technical write-up on the current status and future prospects of quantum computing, including a scientific paper if results support one.
- Have working knowledge of quantum chemistry or electronic-structure software such as PySCF or VASP.
- Have knowledge of active-space and embedding methods such as DFET, DMET, or CASSCF/NEVPT2.
- Have hands-on experience running circuits on real quantum hardware, including error mitigation or post-processing of noisy measurement data.
- Have conducted research on measurement complexity, shot reduction, or observable estimation.
- Be familiar with machine-learning interatomic potentials or other surrogate models trained on quantum-chemical data.
- Have a background in catalysis, surface chemistry, magnetism, or strongly correlated materials.
SandboxAQ helps organizations prepare for the impact of quantum computing by combining artificial intelligence and quantum technologies. Its offerings include crypto-agile security, quantum sensing, and quantum simulation and optimization, delivered as services and solutions to global clients. The company works with leading professional services firms to help clients implement AQ solutions, and it also engages in research fellowships and hiring for PhD and post-doc roles. Unlike others that only develop hardware or software, SandboxAQ emphasizes enabling enterprises and even nations to gain a competitive edge before scalable, fault-tolerant quantum computers are widely available, and to bridge the global digital divide through practical, implementable solutions. Its business model centers on providing services and solutions, monetized through client engagements and partnerships with professional services firms.
Company Size
201-500
Company Stage
Grant
Total Funding
$1.6B
Headquarters
Palo Alto, California
Founded
2021
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Simplify's Take
What believers are saying
- AQCat reached AWS Marketplace on August 25, 2026, widening self-serve distribution.
- Northrop Grumman’s September 9, 2026 drone test proved AQNav’s defense relevance.
- SandboxAQ still advertises 28 open roles, signaling continued hiring across AI and quantum.
What critics are saying
- Robert Bender’s January 2026 wrongful-termination suit targets Jack Hidary and investor disclosures.
- Switch is free and open source, inviting faster competitors to commoditize agent collaboration.
- Commercial traction remains unproven; without repeatable sales, SandboxAQ becomes a grant-dependent R&D shop.
What makes SandboxAQ unique
- Alphabet spinout credibility plus June 17, 2026 CHIPS award validates SandboxAQ’s materials platform.
- AQNav runs on existing drone compute, enabling GPS-denied navigation without hardware retrofits.
- Switch open-sources enterprise agent collaboration across Slack, Teams, and Discord on August 27, 2026.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Stock Options
Family Planning Benefits
Fertility Treatment Support
Paid Vacation
401(k) Retirement Plan
Growth & Insights and Company News
6 month growth
↓ -4%1 year growth
↓ -2%2 year growth
↓ -6%SandboxAQ has successfully completed the world's first reported test of a magnetic navigation system on an attritable platform, Northrop Grumman's Lumberjack drone. The test also marked the first reported instance of pairing magnetic navigation with visual navigation on a one-way attack platform. The company unveiled its hardware-agnostic AQNav software platform, designed for rapid integration across defence systems. Engineers installed the software into existing systems in under an hour, enabling magnetic navigation capabilities without GPS reliance. AQNav provides unjammable, all-weather navigation that operates across various terrains, including open water and GPS-denied environments. The software runs on existing onboard compute infrastructure, reducing the need for additional processing hardware. Since 2023, AQNav has been flight-tested by military and commercial aerospace partners including Airbus and Boeing, and has participated in US Air Force testing aboard C-17 and C-130J transports.
SandboxAQ open sources Switch: bring any AI agent into any team chat. PALO ALTO, Calif. - SandboxAQ today announced Switch, software for building teams of people and AI agents in the collaboration tools companies already use. Switch is open source and can be activated within minutes in any standard enterprise environment at no cost. Switch is a platform for running AI agents together in the collaboration tools where teams already work. It connects agents into shared workspaces such as Slack and Microsoft Teams, so agents and humans can collaborate in the same channel rather than handing work between separate tools. Switch is designed to be platform- and model-agnostic: teams can bring their own agents and connect them into a common workspace. The documentation guides developers through getting Switch running, connecting an agent, and starting an agent workflow in their existing collaboration environment. Developers are building increasingly capable AI agents, but putting them to work across a team still requires integrations and repeated context sharing. Switch turns channels in tools such as Slack, Microsoft Teams and Discord into shared rooms where people and agents work together with the same context, resources, and history. Through MCP, APIs and adapters, Switch is vendor agnostic, so teams can use agents and models across providers without locking their workflows, context, or collaboration environment into a single AI ecosystem. "Every team we talk to has capable agents trapped in separate tools, and a coordination tax eating the productivity those agents were supposed to deliver," said Mohammed Aboul-Magd, General Manager, SandboxAQ. "Switch pulls agents into the channels where teams already work, where knowledge compounds instead of being relearned with every task. If you can message a colleague, you can put an agent to work." Key capabilities available in Switch today include: * Open source: Quick Start and Team editions deploy in minutes, with an extensible architecture for enterprise deployment. No vendor lock-in. * Bring your own agents: Connect existing agents built with Claude Code, Google ADK, LangChain, OpenAI, and other leading frameworks * Work where teams already work: Bring agents into existing collaboration platforms including Slack, Microsoft Teams and Discord. * Keep context with the work: Rooms preserve context and history as people and agents join, leave, and hand off work. * One agent, many rooms: Use the same agent across projects and teams, with each room carrying its own context, participants, and rules. The Switch team used Switch to build Switch, with its engineering, design, and marketing teams collaborating inside rooms throughout development and launch. Switch works through rooms, or channels that form around the work itself. Engineering and security teams can pull specialized agents into a live incident with no briefing required, because the room already holds the timeline. A marketing team can staff a campaign room with research, copy, and design agents, with every asset building on the last. A legal team can add drafting and review agents that already have the deal's full context, making each round of review faster. As agents come and go, the context, history, and rules stay with the work, so the team's output compounds instead of resetting with every hand-off. Switch is part of Flint AI, SandboxAQ's portfolio of AI agent products. It extends the path from testing a single agent locally with the free Flint CLI, which developers use to scan and evaluate individual agents, to putting people and their agents to work together in shared rooms. Switch is available today on GitHub. Developers can get started with the Tutorials, explore the documentation, and learn more at FlintAI.dev. The software is released under Apache 2.0 with the Commons Clause and is free for use by anyone. Users can utilize the software within their enterprise, personally and also issue free products with the software.
SandboxAQ launches open-source Switch for human and AI agent collaboration. August 27, 2026 SandboxAQ has announced Switch, software for building teams of people and AI agents in the collaboration tools companies already use. Switch is open source and can be activated within minutes in any standard enterprise environment at no cost. Switch is a platform for running AI agents together in the collaboration tools where teams already work. It connects agents into shared workspaces such as Slack and Microsoft Teams, so agents and humans can collaborate in the same channel rather than handing work between separate tools. Switch is designed to be platform- and model-agnostic: teams can bring their own agents and connect them into a common workspace. The documentation guides developers through getting Switch running, connecting an agent, and starting an agent workflow in their existing collaboration environment. Developers are building increasingly capable AI agents, but putting them to work across a team still requires integrations and repeated context sharing. Switch turns channels in tools such as Slack, Microsoft Teams and Discord into shared rooms where people and agents work together with the same context, resources, and history. Through MCP, APIs and adapters, Switch is vendor agnostic, so teams can use agents and models across providers without locking their workflows, context, or collaboration environment into a single AI ecosystem. "Every team we talk to has capable agents trapped in separate tools, and a coordination tax eating the productivity those agents were supposed to deliver," said Mohammed Aboul-Magd, General Manager, SandboxAQ. "Switch pulls agents into the channels where teams already work, where knowledge compounds instead of being relearned with every task. If you can message a colleague, you can put an agent to work." Key capabilities available in Switch today include open-source Quick Start and Team editions that can be deployed in minutes, with an extensible architecture for enterprise deployment and no vendor lock-in. Organisations can connect existing agents built with Claude Code, Google ADK, LangChain, OpenAI and other leading frameworks, and bring these agents into collaboration platforms such as Slack, Microsoft Teams and Discord. Switch Rooms preserve context and history as people and agents join, leave and hand off work, while the same agent can be used across multiple projects and teams, with each room maintaining its own context, participants and rules. The Switch team used Switch to build Switch, with its engineering, design, and marketing teams collaborating inside rooms throughout development and launch. Switch works through rooms, or channels that form around the work itself. Engineering and security teams can pull specialized agents into a live incident with no briefing required, because the room already holds the timeline. A marketing team can staff a campaign room with research, copy, and design agents, with every asset building on the last. A legal team can add drafting and review agents that already have the deal's full context, making each round of review faster. As agents come and go, the context, history, and rules stay with the work, so the team's output compounds instead of resetting with every hand-off. Switch is part of Flint AI, SandboxAQ's portfolio of AI agent products. It extends the path from testing a single agent locally with the free Flint CLI, which developers use to scan and evaluate individual agents, to putting people and their agents to work together in shared rooms. Switch is available today on GitHub. Developers can get started with the Tutorials, explore the documentation, and learn more at FlintAI.dev. The software is released under Apache 2.0 with the Commons Clause and is free for use by anyone. Users can utilize the software within their enterprise, personally and also issue free products with the software.
SandboxAQ open sources Switch: bring any AI agent into any team chat. No platform lock-in and free to use, Switch enables shared rooms in Slack, Teams, Discord and other collaboration tools for humans and AI agents to get work done together. SandboxAQ announced Switch, software for building teams of people and AI agents in the collaboration tools companies already use. Switch is open source and can be activated within minutes in any standard enterprise environment at no cost. Switch is a platform for running AI agents together in the collaboration tools where teams already work. It connects agents into shared workspaces such as Slack and Microsoft Teams, so agents and humans can collaborate in the same channel rather than handing work between separate tools. Switch is designed to be platform- and model-agnostic: teams can bring their own agents and connect them into a common workspace. The documentation guides developers through getting Switch running, connecting an agent, and starting an agent workflow in their existing collaboration environment. Developers are building increasingly capable AI agents, but putting them to work across a team still requires integrations and repeated context sharing. Switch turns channels in tools such as Slack, Microsoft Teams and Discord into shared rooms where people and agents work together with the same context, resources, and history. Through MCP, APIs and adapters, Switch is vendor agnostic, so teams can use agents and models across providers without locking their workflows, context, or collaboration environment into a single AI ecosystem. "Every team we talk to has capable agents trapped in separate tools, and a coordination tax eating the productivity those agents were supposed to deliver," said Mohammed Aboul-Magd, General Manager, SandboxAQ. "Switch pulls agents into the channels where teams already work, where knowledge compounds instead of being relearned with every task. If you can message a colleague, you can put an agent to work." Aug 26, 2026 Prev Next 1 of 43,478 Key capabilities available in Switch today include: * Open source: Quick Start and Team editions deploy in minutes, with an extensible architecture for enterprise deployment. No vendor lock-in. * Bring your own agents: Connect existing agents built with Claude Code, Google ADK, LangChain, OpenAI, and other leading frameworks * Work where teams already work: Bring agents into existing collaboration platforms including Slack, Microsoft Teams and Discord. * Keep context with the work: Rooms preserve context and history as people and agents join, leave, and hand off work. * One agent, many rooms: Use the same agent across projects and teams, with each room carrying its own context, participants, and rules. The Switch team used Switch to build Switch, with its engineering, design, and marketing teams collaborating inside rooms throughout development and launch. Switch works through rooms, or channels that form around the work itself. Engineering and security teams can pull specialized agents into a live incident with no briefing required, because the room already holds the timeline. A marketing team can staff a campaign room with research, copy, and design agents, with every asset building on the last. A legal team can add drafting and review agents that already have the deal's full context, making each round of review faster. As agents come and go, the context, history, and rules stay with the work, so the team's output compounds instead of resetting with every hand-off. Switch is part of Flint AI, SandboxAQ's portfolio of AI agent products. It extends the path from testing a single agent locally with the free Flint CLI, which developers use to scan and evaluate individual agents, to putting people and their agents to work together in shared rooms. Switch is available today on GitHub. Developers can get started with the Tutorials, explore the documentation, and learn more at FlintAI.dev. The software is released under Apache 2.0 with the Commons Clause and is free for use by anyone. Users can utilize the software within their enterprise, personally and also issue free products with the software.
SandboxAQ has open sourced Switch, software that enables AI agents to work alongside humans in collaboration tools like Slack, Microsoft Teams, and Discord. The platform is free to use and can be deployed within minutes in standard enterprise environments. Switch allows teams to integrate AI agents built with frameworks including Claude Code, Google ADK, LangChain, and OpenAI into existing workplace channels. The platform preserves context and history as people and agents collaborate, eliminating the need for repeated briefings when adding specialised agents to ongoing work. The software is platform- and model-agnostic, meaning teams can use agents from different providers without vendor lock-in. Switch operates through rooms that maintain the full context of work, allowing agents to contribute without requiring separate integrations. The platform is available on GitHub under Apache 2.0 with the Commons Clause. Switch is part of Flint AI, SandboxAQ's portfolio of AI agent products.