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Quantum Computing Engineer Junior Jobs in Minnesota

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Quantum Computing Engineer Junior information

What does a quantum computing engineer junior do?

A Quantum Computing Engineer Junior assists in designing, developing, and testing quantum algorithms and hardware components. They typically work under the guidance of senior engineers and researchers, helping to build and maintain quantum computing systems. Their responsibilities can include coding quantum programs, running simulations, troubleshooting issues, and staying updated on the latest advancements in quantum technologies. This entry-level role offers hands-on experience and learning opportunities in the rapidly evolving field of quantum computing.

What are some common challenges faced by junior quantum computing engineers when transitioning from academia to industry?

Junior quantum computing engineers often find the transition from academia to industry challenging due to differences in project timelines, collaboration styles, and the need to quickly adapt to proprietary hardware and software tools. In industry, there's a greater emphasis on working as part of multidisciplinary teams and delivering results under tight deadlines. Additionally, engineers may need to broaden their expertise beyond theoretical concepts to include practical skills such as coding, debugging, and optimizing algorithms for real-world quantum devices. Continuous learning and adaptability are key to thriving in this dynamic and evolving field.

What is the difference between Quantum Computing Engineer Junior vs Quantum Computing Engineer?

AspectQuantum Computing Engineer JuniorQuantum Computing Engineer
Required CredentialsBachelor's degree in physics, computer science, or related field; some experience or internshipsBachelor's or master's degree; more experience or specialized certifications preferred
Work EnvironmentEntry-level labs, research teams, or tech companies; supervised projectsMore independent roles; involved in design, development, and testing of quantum algorithms and hardware
Employer & Industry UsageStartups, research institutions, tech companies exploring quantum techEstablished tech firms, research labs, and industry leaders in quantum computing

The main difference between a Quantum Computing Engineer Junior and a Quantum Computing Engineer lies in experience, responsibilities, and independence. Junior roles focus on learning and supporting projects, while full engineers take on more complex tasks and leadership in quantum computing development.

What are the key skills and qualifications needed to thrive as a quantum computing engineer junior, and why are they important?

To thrive as a Quantum Computing Engineer Junior, you need a solid background in quantum mechanics, linear algebra, and computer science, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages like Qiskit or Cirq, and experience using quantum simulators and cloud-based quantum platforms are commonly required. Strong analytical thinking, problem-solving abilities, and curiosity are standout soft skills in this position. These skills and qualities are vital for contributing to complex quantum projects and advancing innovation in this rapidly evolving field.

What are the most commonly searched types of Quantum Computing Engineer jobs in Minnesota?

The most popular types of Quantum Computing Engineer jobs in Minnesota are:

What are popular job titles related to Quantum Computing Engineer Junior jobs in Minnesota?

For Quantum Computing Engineer Junior jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Quantum Computing Engineer Junior jobs in Minnesota look for?

The top searched job categories for Quantum Computing Engineer Junior jobs in Minnesota are:

What cities in Minnesota are hiring for Quantum Computing Engineer Junior jobs?

Cities in Minnesota with the most Quantum Computing Engineer Junior job openings:

Lead Data Mgt Engineer - Archiving/ILM

Deloitte

Minneapolis, MN • Hybrid

$107K - $140K/yr

Full-time

Posted 7 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 08/13/2026.

Work you'll do

As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for leading the design and delivery for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 8+ years Data Archiving and Information Lifecycle Management consulting experience to include retention management, data integrity, system performance, and legacy-system decommissioning client projects
  • 6+ years hands-on experience with SAP ILM, SAP Data Archiving, JiVS IMP, OpenText VIM and E-invoicing
  • 2+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
  • Bachelor's degree
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 08/13/2026.

Work you'll do

As a Lead Data Management Engineer II on the AI & Data team, you will be responsible for leading the design and delivery for client engagements.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development, thought leadership, and coaching junior practitioners

The team

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required:

  • 8+ years Data Archiving and Information Lifecycle Management consulting experience to include retention management, data integrity, system performance, and legacy-system decommissioning client projects
  • 6+ years hands-on experience with SAP ILM, SAP Data Archiving, JiVS IMP, OpenText VIM and E-invoicing
  • 2+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
  • Bachelor's degree
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Consulting experience in client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting to both large and small audiences

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 - $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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