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Quantum Si Jobs (NOW HIRING)

... quantum computing devices, carbon nanotube devices, MEMs, Bio sensors, DNA sequencing devices, Si photonics, and III-V devices. Join our dynamic team at a Staff Integration Engineer to lead the ...

... quantum computing devices, carbon nanotube devices, MEMs, Bio sensors, DNA sequencing devices, Si photonics, and III-V devices. Join our dynamic team at a Staff Integration Engineer to lead the ...

... large SI, hyperscaler, or technology organization. * Hands-on experience with current-generation AI/ML frameworks, LLMs, and agentic AI development. * Experience with post-quantum cryptography ...

... large SI, hyperscaler, or technology organization. * Hands-on experience with current-generation AI/ML frameworks, LLMs, and agentic AI development. * Experience with post-quantum cryptography ...

... large SI, hyperscaler, or technology organization. * Hands-on experience with current-generation AI/ML frameworks, LLMs, and agentic AI development. * Experience with post-quantum cryptography ...

About Vector Atomic Vector Atomic, an IonQ company, is building quantum technology to transform ... Drive component selection and routing to optimize signal integrity (SI), power integrity (PI ...

Senior Electrical Engineer

Austin, TX · On-site

$106K - $138K/yr

Drive excellence in EMI/EMC/SI/PI and DFM/DFA. * Own the entire lifecycle of electronics and ... Knowledge of emerging technologies such as AI accelerators or quantum computing is a plus PHYSICAL ...

Drive excellence in EMI/EMC/SI/PI and DFM/DFA. * Manage 3rd party relationships with vendors ... Knowledge of emerging technologies such as AI accelerators or quantum computing is a plus EDUCATION ...

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Quantum Si information

What does the quantum-Si do?

A Quantum Si role typically involves working with quantum sensing or imaging technologies, often focusing on developing or maintaining advanced quantum-based instruments. The job may require knowledge of quantum physics, electronics, and data analysis, and often involves collaboration with research teams in high-tech or scientific environments.

What are some common challenges faced by professionals working in Quantum Si roles, and how can they be addressed?

Professionals in Quantum Si (quantum silicon) roles often encounter challenges such as staying current with rapidly evolving quantum technologies, troubleshooting complex experimental setups, and integrating quantum devices with classical systems. Collaborating closely with multidisciplinary teams—including physicists, engineers, and software developers—can help address these challenges by pooling expertise and fostering innovative problem-solving. Continuous learning through workshops, conferences, and research publications is also essential for staying ahead in this dynamic field.

What are the key skills and qualifications needed to thrive as a Quantum Si scientist or engineer, and why are they important?

To excel at Quantum Si, professionals typically need a strong background in molecular biology, biochemistry, or related life sciences, often with advanced degrees (M.S. or Ph.D.). Familiarity with next-generation sequencing technologies, data analysis software, and laboratory instrumentation is highly valued. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for success in this innovative environment. These qualifications are critical for advancing protein sequencing technology and ensuring high-quality scientific results in a fast-paced biotech setting.

What are jobs related to quantum AI?

Jobs related to quantum AI include roles such as quantum machine learning engineer, quantum software developer, and quantum algorithm researcher. These positions typically require knowledge of quantum computing, programming skills in languages like Python or Qiskit, and understanding of artificial intelligence concepts. They are often found in research institutions, tech companies, and startups focused on quantum technologies.

What is a Quantum Si?

Quantum-Si is a biotechnology company that specializes in next-generation protein sequencing technology. The company develops and provides tools to analyze proteins at the single-molecule level using quantum tunneling and semiconductor technology. This enables researchers and clinicians to gain deeper insights into the proteome, potentially transforming diagnostics and drug discovery. Quantum-Si's products aim to make protein sequencing more accessible, accurate, and comprehensive compared to traditional methods.

What is the difference between Quantum Si vs Quantum Engineer?

AspectQuantum Si
Required CredentialsBachelor's or Master's in Physics, Electrical Engineering, or related fields; certifications in quantum computing are a plus
Work EnvironmentResearch labs, tech companies, startups focusing on quantum hardware and software development
Employer & Industry UsagePrimarily in tech, research institutions, and companies developing quantum processors

Quantum Si professionals focus on designing and developing quantum silicon-based hardware components, often working in research and development settings. Quantum Engineers have a broader role, including designing quantum algorithms, systems, and integrating hardware with software. While both roles require similar educational backgrounds, Quantum Si specialists are more hardware-focused, whereas Quantum Engineers work across hardware and software integration.

Is quantum-SI a real thing?

Quantum SI is not a recognized or established job title in the industry. It may refer to a company name, a specialized role, or a concept related to quantum computing or information systems, but as a job position, it is not widely known or verified. Job seekers should verify the specific role and its requirements directly with the employer.

Does quantum-si have a future?

Quantum SI is a specialized role focused on quantum information systems and technologies. As quantum computing advances, demand for professionals with skills in quantum algorithms, hardware, and security is expected to grow, indicating a positive future for this field.
More about Quantum Si jobs
What cities are hiring for Quantum Si jobs? Cities with the most Quantum Si job openings:
What states have the most Quantum Si jobs? States with the most job openings for Quantum Si jobs include:
Infographic showing various Quantum Si job openings in the United States as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Vice President - AI Consulting Engineering Lead

Inizio Partners

New York, NY • Remote

$196K - $253K/yr

Full-time

Posted 5 days ago

New


Job description

Role: Vice President - AI Consulting Engineering Lead

NY/ NJ (preferred) / Remote

Key Responsibilities:

  • Lead Deep tech partner ecosystem and practice
  • Collaborate with Labs and partner ecosystems (Google, Microsoft, Salesforce, UiPath, ServiceNow, AWS, Appian etc.) to integrate emerging capabilities into client solutions.
  • Set up Deep tech labs with Nvidia, Open AI, Anthropic, Groq etc.
  • Identify and incubate emerging technology use cases (e.g., Agentic, Quantum) relevant to client industries.
  • Client Pursuit & Technical Solutioning
  • Lead the technical pre-sales process, engaging directly with clients to understand business goals, pain points, and transformation needs.
  • Develop end-to-end solution architectures across data platforms, cloud ecosystems (AWS, Azure, GCP), AI/ML, IoT, and other deep tech domains.
  • Author and present compelling technical proposals, RFP/RFI responses, and solution blueprints that resonate with client stakeholders.
  • Engage in RFP/RFI cycles and deal reviews to ensure technical integrity and differentiation.
  • Transformation Consulting & Advisory
  • Act as a strategic advisor to clients on digital transformation, data modernization, cloud migration, and emerging AI adoption.
  • Assess current state architecture and co-create AI led transformation roadmaps aligned with future-state vision and business priorities.
  • Lead client and internal architecture workshops
  • Shape AI-first enterprise designs integrating data platforms, automation, and intelligent workflows.
  • Partner with cross-functional teams across domain, tech, data, and AI to define solutions for large transformation deals.
  • Translate business objectives into executable technology roadmaps with clear ROI and scalability.
  • Define architectural guardrails, reusable components, and accelerators for repeatable deployment patterns.
  • Mentor solution and engineering teams to adopt modern design principles

Qualifications:

  • 15+ years in enterprise architecture, engineering, or solution leadership within consulting, SI, or digital practices.
  • Proven experience in architecting data-driven, AI-enabled enterprise platforms.
  • Understanding of cloud-native architectures, integration frameworks, data fabric/mesh, and AI orchestration.
  • Stakeholder management and executive communication skills.