Quantum Machines Logo

Quantum Machines

Quantum Product Research Lead

Posted 25 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in USA
Mid level
Remote or Hybrid
Hiring Remotely in USA
Mid level
Lead research for a new quantum technology market initiative. Develop expertise in qubit hardware, fabrication, experimental setups, control flows, and measurement protocols. Validate approaches through experimentation, modeling, and device work; identify scaling bottlenecks; translate findings into product requirements and architectures; and collaborate with product, architecture, engineering, customers, partners, and the research community.
The summary above was generated by AI
Description

Quantum Machines is a global leader in control systems for quantum computing, a field on the verge of exponential growth. Our innovative hardware and software offer a groundbreaking approach to controlling quantum computers, scaling from individual qubits to arrays of thousands. At the heart of QM is a passionate, ambitious team committed to transforming the construction and operation of quantum computers. Our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field. 

Quantum Machines is now expanding into a significant new market; we're looking for an exceptional individual to lead the research of this effort. This is a rare opportunity to operate with the resources and credibility of an established, well-funded quantum technology company with hundreds of customers, while being part of the core team that builds something from the ground up. This role sits within a nascent, fast-growing initiative at Quantum Machines -early enough that there is still real room to shape the research agenda, the measurement approach, and the team itself. You will bring deep, practical expertise in quantum device physics to bear on a new technical direction, working closely with QM's Product & Architecture Lead and broader engineering organization to ground product and architecture decisions in real experimental practice. 

We are seeking enthusiastic individuals with hands-on research experience and a strong grasp of evolving quantum technologies, fabrication processes and qubit measurement. The ideal candidate will bring deep experimental insight, define and validate the measurement protocols the initiative depends on, and collaborate closely with QM product, architecture and R&D teams, as well as with QM partners, customers and prospects. 

Key Responsibilities 

  • Domain Expertise: Build and maintain a deep, end-to-end understanding of qubit and quantum hardware systems relevant to the initiative.
  • Experimental Depth: Build a deep, practical understanding of the physical setup and control flow needed for real device work, together with deep knowledge of and hands-on experience with the stages of industry fabrication processes and the key parameters that govern them. 
  • Scaling Insight: Help define how measurement approaches extend and generalize as needs grow, identifying bottlenecks along the way. 
  • Product Collaboration: Support translation of these insights into clear product requirements and reference architectures, working with the Product & Architecture Lead and engineering teams. 
  • Validation: Validate proposed approaches against the physics, through hands-on experimentation, modelling, and direct device work.
  • Community Engagement: Engage with the broader research community to ground the roadmap in real, emerging directions in the field.
Requirements

Key Requirements 

  • Proven research leadership experience, with a track record of driving deep technical insight from first principles - Must 
  • Ph.D. in quantum physics or a closely related field, with required familiarity and experience in quantum computing technologies, materials and industrial fabrication processes - Must 
  • 3+ years of experimental quantum physics and/or computing, with genuine hands-on device experience - Must 
  • High technical acumen and the ability to comprehend and make tradeoffs within complex systems - Must 
  • Comfort with ambiguity -this role is not for someone who needs a fully-formed playbook - Must 
  • Excellent oral and written communication skills in English; excellent presentation skills - Must 
  • Strong organizational and time-management skills; a self-driven individual with a high level of independence and discipline - Must 
  • Team player with the ability to collaborate closely with other teams - Must 
  • Deep, hands-on experience with superconducting qubits - Strong Advantage 
  • Experience with spin qubits, in addition to superconducting - An Advantage 
  • Track record of excellent scientific achievement (publications, novel experimental results) - An Advantage 
  • Past experience in working in a rapidly growing start up environment - An Advantage 
  • Willingness to travel for customer engagement.

Similar Jobs

Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
110K-142K Annually
Mid level
110K-142K Annually
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customers after implementation, helping them achieve business value from Samsara’s IoT platform. Develop joint success plans, lead executive business reviews and customer workshops, recommend workflow improvements, explain platform capabilities, resolve barriers, and mentor Customer Success and Support teams. Collaborate with Sales, Support, Sales Engineering, Product, and Engineering while supporting customers across transportation, utilities, field services, and other physical-operation industries.
Top Skills: Internet Of Things (Iot)SaaS
Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
135K-175K Annually
Senior level
135K-175K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software
Own the strategy and roadmap for Movable Ink’s behavioral decisioning layer. Define trigger libraries, customer context models, pattern frameworks, and eligibility controls while partnering with engineering and cross-functional teams. Prioritize behavioral use cases, establish integration contracts, and create scalable self-service configuration capabilities. Translate customer and commercial needs into clear product requirements and advocate for customer outcomes across the organization.
Top Skills: Ai DecisioningEvent-Driven SystemsStateful LogicTime-Windowed Pattern Detection
Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
125K-160K Annually
Senior level
125K-160K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software
Develops and launches integrations between Movable Ink and third-party email, mobile, and messaging platforms. Partners with engineering, partnerships, sales, and customer experience teams to define product requirements, manage backlogs and sprints, maintain integration roadmaps, foster ecosystem relationships, and drive adoption and bookings. Evaluates APIs, monitors platform releases, advocates for customers, and uses qualitative and quantitative data to prioritize product decisions.
Top Skills: APIsCommunications Platforms As A Service (Cpaas)Email TechnologyMarketing TechnologyMessaging PlatformsMobile Technology

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account