1

Machine Learning Quantum Computing Jobs in Illinois

Senior Government Programs Manager

Chicago, IL ยท On-site +1

$119K - $120K/yr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering ... Quantum computing is not an extension of classical computing. It represents a fundamental shift-and ...

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... demanding computing environments in the world. We build the hardware, the software, and the ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

Hardware Machine Learning Engineer Chicago, United States; New York, United States We are deploying ... demanding computing environments in the world. We build the hardware, the software, and the ...

Senior Machine Learning Engineer

Chicago, IL ยท Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... scientific computing environments a plus Strong mathematical foundation in linear algebra ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

... demanding computing environments in the world. We build the hardware, the software, and the ... Understanding of machine learning fundamentals - neural network architectures, inference ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

... demanding computing environments in the world. We build the hardware, the software, and the ... Understanding of machine learning fundamentals - neural network architectures, inference ...

next page

Showing results 1-20

Machine Learning Quantum Computing information

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What are popular job titles related to Machine Learning Quantum Computing jobs in Illinois? For Machine Learning Quantum Computing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Illinois look for? The top searched job categories for Machine Learning Quantum Computing jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Quantum Computing jobs? Cities in Illinois with the most Machine Learning Quantum Computing job openings:
Senior Finance Manager, Capital Planning & Management

Senior Finance Manager, Capital Planning & Management

PsiQuantum

Chicago, IL โ€ข On-site

$112K - $153K/yr

Full-time

Posted 9 days ago


Job description

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems.
Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries.
Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry-including partners like GlobalFoundries-we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don't feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.
In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale.
PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies-including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical-to prepare quantum solutions for real-world impact.
Quantum computing is not an extension of classical computing. It represents a fundamental shift-and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real.
Come join us.
Job Summary:
We are seeking a Senior Finance Manager in the FP&A team with experience supporting capital-intensive, advanced hardware businesses in a startup or high-growth environment. This role is ideal for a finance leader who thrives in ambiguity, operates with a proactive, builder mindset, and can establish scalable capital planning processes, controls, and financial discipline while maintaining flexibility as the business evolves.
This individual contributor role partners with Engineering/R&D, Operations, Facilities, IT, and Accounting to provide financial leadership across high-value capital expenditures, complex equipment purchases, and large-scale facility and lab projects.
Role will require candidate to have on-site flexibility to work in Palo Alto and Milpitas offices as situation requires.
Responsibilities:
Capital Planning, Controls & Governance
  • Design and own capital planning frameworks, including approval workflows, funding governance, and prioritization models appropriate for a startup or scaling environment.
  • Establish and continuously improve controls, processes, and structure around capital requests, project approvals, and spend tracking while balancing speed and rigor.
  • Develop capital authorization policies and ensure compliance as the organization grows.

Capital Expenditures & Project Finance
  • Lead FP&A for large-scale capital investments related to semiconductor equipment, advanced computing systems, R&D labs, and specialized facilities.
  • Partner with R&D to evaluate investments in building the world's first useful quantum computer, including tooling, test equipment, cryogenic systems, and supporting infrastructure.
  • Build and maintain robust tracking and scenario models for long-cycle, high-risk technology investments.
  • Own short- and long-range capex forecasting, adjusting plans dynamically as priorities evolve.

Purchase Orders & Spend Tracking
  • Oversee purchase order creation, approvals, and commitment tracking for multi-vendor, long lead-time equipment and construction projects.
  • Implement scalable methods to track committed vs. actual spend, progress payments, and milestone-based billing.
  • Proactively identify risks, overruns, and timing issues and partner with stakeholders on mitigation plans.

Accounting & Financial Close Support
  • Serve as a key finance partner to Accounting on capitalization, depreciation, construction-in-progress (CIP), asset lives, and impairment for advanced hardware and facilities.
  • Ensure appropriate accounting treatment for tooling, wafers, masks, prototypes, pilot lines, lab equipment, cryogenic infrastructure, and specialized software.
  • Support month-end and quarter-end close activities related to fixed assets and project accounting in accordance with US GAAP.

FP&A & Strategic Business Partnership
  • Act as a trusted, hands-on finance partner to leadership in a fast-moving startup environment, providing clear insights despite incomplete data.
  • Translate technically complex project and engineering inputs into executive-ready financial summaries.
  • Balance long-term technology bets with near-term cash management and funding constraints.

Systems, Tools & Process Improvement
  • Leverage NetSuite or comparable ERP and project accounting tools to support high-value capital projects.
  • Lead process improvements and system enhancements for fixed assets, CIP, and project tracking as the organization scales.
  • Build financial infrastructure that can evolve from early-stage to more mature operations.

Experience/Qualifications:
Required
  • 8+ years of experience in FP&A, corporate finance, or capital-focused finance roles.
  • Experience in semiconductor, advanced hardware, electronics, or similarly capital-intensive industries.
  • Strong understanding of capital expenditure accounting, fixed assets, CIP, and long-lived assets.
  • Hands-on experience with NetSuite or comparable ERP systems.
  • Advanced financial modeling and analytical skills.
  • Ability to work independently, prioritize effectively, and drive initiatives forward with limited direction.

Preferred
  • MBA preferred.
  • Experience scaling financial controls and governance alongside rapid organizational growth.

Key Competencies
  • Builder mindset with strong ownership mentality.
  • Comfort with ambiguity and evolving priorities.
  • Proactive problem-solving and bias toward action.
  • Strategic capital allocation and financial rigor.
  • Strong cross-functional collaboration with technical teams.
  • Ability to balance flexibility with discipline and control.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.
Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com
We are not accepting unsolicited resumes from employment agencies.
The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.
U.S. Base Pay Range
$155,000-$178,000 USD
Bay Area Pay Range
$195,000-$205,000 USD