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Machine Learning Quantum Computing Jobs in Missouri

NVIDIA Gruppe

Senior Architect

California, MO · On-site

$224 - $356.50/hr

Strong experience with GPU-accelerated computing and modern ML frameworks. * Deep knowledge of machine learning interatomic potentials, generative modeling, and quantum chemistry workflows.

NVIDIA Corporation

Senior Architect

California, MO · On-site

$224 - $356.50/hr

Strong experience with GPU-accelerated computing and modern ML frameworks.* Deep knowledge of machine learning interatomic potentials, generative modeling, and quantum chemistry workflows.

Jobgether

Proven experience with cloud-native technologies, Kubernetes, distributed computing environments, and scalable infrastructure supporting machine learning workloads. * Demonstrated understanding of ...

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Machine Learning Quantum Computing information

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 the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

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 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 popular job titles related to Machine Learning Quantum Computing jobs in Missouri?

For Machine Learning Quantum Computing jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Missouri look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Missouri are:

What cities in Missouri are hiring for Machine Learning Quantum Computing jobs?

Cities in Missouri with the most Machine Learning Quantum Computing job openings:

Machine Learning Quantum Computing jobs near you
Infographic showing various Machine Learning Quantum Computing job openings in Missouri as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Nights. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution.

Senior QEC Researcher - Integrated HPC & Quantum Solutions

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$180 - $260/hr

Other

Posted 9 days ago

Job description

• Evaluate and develop improvements to quantum error correction strategies, algorithms, and software to enable practical execution of applications on quantum hardware
• Develop software components to handle QEC details in quantum circuit compilation, emulation/simulation, and resource estimation
• Develop or integrate real-time decoder technologies into HPE's HPC-QC software stack
• Contribute to HPC-QC architecture decisions with detailed knowledge of quantum error correction strategies
• Create and demonstrate novel quantum error correction components and describe these in publications and presentations
• Extend open-source software and improve quantum circuit compilation and simulation capabilities
• Demonstrate workflow strategies for applications that combine high performance and quantum computing, and participate in standardization of key interfaces

Requirements
  • PhD degree in Computer Science, Engineering, Physics, or Mathematics with a strong preference for quantum computing, computational science, or ML/AI expertise
  • 10 or more years of programming experience
  • 1 or more years of experience implementing software for quantum error correction (resource estimation, real-time decoding, circuit compilation)
  • Advanced programming skills in low-level languages such as C, C++, or Rust, and advanced programming skills in Python
  • Deep understanding of Quantum Error Correction codes including circuit compilation and decoding aspects, and deep understanding of Quantum Computing with skills in understanding and optimizing circuits
  • Experience creating or extending quantum computing tools (e.g., Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane)
  • Experience contributing to large software projects, creating new software efforts, and designing library APIs
  • Strong mathematical background with excellent skills in areas such as statistics, probability, and linear algebra
  • Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences in written form and in presentations
  • Strong leadership, consensus-building, and stakeholder engagement skills with an outcome-focused mindset and a bias for action and delivery
  • Creative and analytical thinking abilities with a passion for solving complex problems and a focus on quality and customer results
  • Knowledge of applications of quantum computing, including quantum chemistry, quantum simulation, combinatorial optimization, or statistical physics
  • Experience with HPC environments, cloud computing platforms, GPU computing, or FPGA computing
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and solid understanding of machine learning algorithms and generative AI
  • Strong track record of sharing findings with the broader scientific community, such as publishing research papers in top-tier journals and conferences.
Core Competencies

Demonstrates expertise in Quantum Error Correction strategies and algorithms, with advanced programming skills in C, C++, Rust, and Python. Capable of contributing to high-performance computing environments and integrating quantum computing tools while effectively communicating complex concepts to diverse audiences.

Highest-signal resume keywords
  • Quantum Error Correction Implementation
  • Advanced Programming in C, C++, Rust, and Python
  • Quantum Computing Tool Development (Qiskit, CUDA-Q, TensorFlow Quantum)
  • HPC Environment Experience
  • Strong Mathematical Background
ATS Optimization Keywords Hard Skills
  • Quantum Error Correction
  • Circuit Compilation
  • Real-Time Decoding
  • Resource Estimation
  • Programming in C
  • Programming in C++
  • Programming in Rust
  • Programming in Python
  • Statistical Analysis
  • Linear Algebra
Soft Skills
  • Excellent Communication
  • Leadership
  • Consensus-Building
  • Creative Thinking
  • Analytical Thinking
Certifications & Qualifications
  • PhD in Computer Science
  • PhD in Engineering
  • PhD in Physics
  • PhD in Mathematics
Industry Keywords
  • Quantum Computing
  • Computational Science
  • Machine Learning
  • Quantum Chemistry
  • Quantum Simulation
  • Combinatorial Optimization
  • Statistical Physics
  • High Performance Computing
  • Standardization of Interfaces
  • Software Development
Tools & Technologies
  • Qiskit
  • CUDA-Q
  • TensorFlow Quantum
  • Pennylane
  • HPC-QC Software Stack
  • Cloud Computing Platforms
  • GPU Computing
  • FPGA Computing
  • AI/ML Frameworks
  • TensorFlow
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