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Machine Learning Quantum Computing Jobs in Oregon

Quantum Computing Cryptography Engineer

OR · On-site +1

$82K - $109K/yr

... Quantum Computing/Cryptography Engineer to join this team. Professional Level Information: An ... An Engineer, 3 has strong technical skills and background, a knack for learning new technologies ...

... computing ecosystem Understanding of how machine learning and AI techniques can be applied to scientific and engineering problems, with the ability to evaluate emerging AI-for-quantum use cases and ...

Senior HPC and Quantum Systems Engineer

OR · On-site +1

$104K - $142K/yr

... machine learning. Prototype, document, and evaluate end-to-end workflows that demonstrate the ... Familiarity with quantum computing concepts and hardware architectures (neutral atom, trapped ion ...

Senior Engineer - Quantum Error Correction Libraries

OR · On-site +1

$122K - $161K/yr

... quantum computing, HPC technologies, and machine learning Interacting with external partners and researchers to understand their use cases and requirements Providing technical leadership and ...

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Experience managing datasets and training workflows within distributed or cloud computing ...

Examples include container orchestration platforms like Kubernetes, distributed computing ... Design and build machine learning systems and data pipelines. Design experiments, prompt-tune ...

New

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Overview As a machine learning engineer in the Economics team, you will build state-of-the-art ... Experience with cloud computing and related ML infrastructure. Preferred Qualifications * A PhD in ...

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing ...

New

Senior Architect

OR · On-site +1

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

Architect and optimize distributed computing systems that scale seamlessly from a single node to ... Research background in machine learning systems or adjacent fields and experience profiling and ...

Senior Software Engineer, CUDA Deep Learning Systems

OR · On-site +1

$122K - $161K/yr

Architect and optimize distributed computing systems that scale seamlessly from a single node to ... Research background in machine learning systems or adjacent fields and experience profiling and ...

... machine learning libraries TensorFlow, PyTorch, JAX or Keras Experience with cloud computing platforms like AWS Background in math, statistics, or numerical computation Significant contributions to ...

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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 Oregon?

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

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

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

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

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

Quantum Computing Cryptography Engineer

OR • On-site, Remote

$82K - $109K/yr

Full-time

Posted 7 days ago


Job description

Team (Project) Introduction

We are recruiting for a range of cybersecurity opportunities supporting federal customers, focused on strengthening enterprise security architecture, systems engineering, and the secure implementation of technologies across the environment.

The work involves applying established cybersecurity standards, guidelines, and frameworks to help translate organizational and business requirements into secure, scalable technical solutions. Team members may contribute to security architecture and engineering efforts, implementation guidance, technical analysis, and the development of repeatable approaches that support the consistent deployment and operation of secure technologies across complex enterprise environments.

Systems security engineering is an important component of this work, with an emphasis on incorporating security and stakeholder protection requirements throughout the system development life cycle, from concept and design through development, production, sustainment, and decommissioning. The team will apply established systems engineering and cybersecurity principles to help protect systems, applications, data, and supporting technologies.

Ultimately, this work supports the broader mission to strengthen its cybersecurity posture, reduce organizational risk, and protect critical systems and information from evolving cyber threats, including external adversaries and insider threats.

9th Way Insignia is looking for an Engineer, 3, Quantum Computing/Cryptography Engineer to join this team.
Professional Level Information:
An Engineer, 3 typically plans and directs research or development work on complex projects, along with engaging various parties in design and development. Costs and recommendations of new components may also involve part of the job scope. Performs multiple engineering-related tasks in various assignments within the project and firm. An Engineer, 3 oversees the design, development, implementation, and analysis of technical products and systems.  An Engineer, 3 has broad knowledge of engineering procedures and assists in the resolution of complex problems.  An Engineer, 3 has strong technical skills and background, a knack for learning new technologies, and a blend of good problem-solving and innovation needed to resolve a wide variety of technical production challenges.

Functional Job (LCAT) Information:
The Quantum Computing/Cryptography Engineer will provide specialized engineering and technical expertise in quantum computing, cryptography, post-quantum cryptography (PQC), and cryptographic modernization in support of the VA program. The engineer will assess existing cryptographic technologies, evaluate quantum-related cybersecurity risks, and develop strategies for transitioning VA systems and applications to secure, quantum-resistant cryptographic standards.


Responsibilities:

  • Provide technical expertise in quantum computing, quantum information science, cryptography, and post-quantum cryptography to support VA cybersecurity architecture and engineering initiatives.
  • Analyze the potential cybersecurity impact of quantum computing technologies on existing VA systems, applications, infrastructure, data protections, and cryptographic implementations.
  • Apply knowledge of quantum mechanics, quantum information theory, and quantum algorithms, including algorithms such as Shor's and Grover's algorithms, to evaluate current and emerging cryptographic risks.
  • Assess existing cryptographic implementations, protocols, algorithms, certificates, keys, and supporting technologies to identify systems that may be vulnerable to current or future quantum-enabled threats.
  • Develop and maintain an enterprise cryptographic inventory identifying cryptographic algorithms, protocols, implementations, dependencies, technologies, and systems across the VA environment.
  • Analyze the cryptographic inventory and establish risk-based migration priorities based on mission criticality, data sensitivity, cryptographic exposure, technology dependencies, and emerging quantum threats.
  • Develop and maintain Cryptographic Inventory and Migration Plans defining strategies, timelines, sequencing, and priorities for transitioning VA systems to approved cryptographic standards, including post-quantum cryptography where applicable.
  • Develop and recommend Post-Quantum Cryptography migration strategies that enable the VA to transition from existing cryptographic approaches to quantum-resistant algorithms in a controlled and secure manner.
  • Provide technical guidance for cryptographic modernization aligned with applicable NIST post-quantum cryptography standards, including FIPS 203, FIPS 204, and FIPS 205.
  • Evaluate and recommend quantum-resistant cryptographic algorithms and technologies for use within enterprise systems, applications, networks, cloud environments, data protection solutions, and identity infrastructures.
  • Provide subject matter expertise in traditional cryptographic protocols and technologies, including RSA, AES, public-key cryptography, Public Key Infrastructure (PKI), encryption, digital signatures, key management, and related security mechanisms.
  • Evaluate interoperability, compatibility, implementation complexity, performance, security, and operational impacts associated with replacing or upgrading legacy cryptographic technologies.
  • Identify cryptographic dependencies and potential migration challenges across applications, infrastructure, network technologies, cloud platforms, identity systems, security tools, and enterprise services.
  • Support the development of crypto-agile architectures and engineering approaches that enable cryptographic algorithms and technologies to be replaced or upgraded as standards and threats evolve.
  • Perform technical analysis, prototyping, modeling, and testing using classical and quantum simulation tools to evaluate quantum algorithms, cryptographic techniques, and potential security impacts.
  • Develop, implement, and test cryptographic algorithms and related engineering solutions using programming languages such as Python, C++, and Java.
  • Utilize quantum development languages, frameworks, and platforms such as Qiskit, Cirq, Quipper, and the Microsoft Quantum Development Kit to support research, simulation, testing, and technical analysis.
  • Conduct specialized security posture assessments for Post-Quantum Cryptography and other emerging technologies, documenting risks, vulnerabilities, technology implications, and recommended mitigation strategies.
  • Support security architecture reviews and engineering assessments to identify cryptographic weaknesses, architectural gaps, security risks, attack paths, and residual risk associated with existing and proposed systems.
  • Develop technical recommendations for mitigating cryptographic vulnerabilities and reducing exposure to "harvest now, decrypt later" and other quantum-related cybersecurity risks where supported by applicable VA risk assessments and modernization activities.
  • Support development of secure solution architectures, security patterns, reference architectures, and engineering guidance incorporating modern and post-quantum cryptographic protections.
  • Ensure cryptographic solutions and modernization recommendations align with applicable Federal security standards, VA security requirements, NIST guidance, and enterprise cybersecurity architecture.
  • Provide technical input into VA security policies, engineering standards, cryptographic guidance, modernization plans, and governance documentation.
  • Participate in technical design reviews, architecture reviews, modernization initiatives, pilots, engineering working groups, and governance forums requiring cryptography or quantum computing subject matter expertise.
  • Collaborate with cybersecurity architects, security engineers, application teams, cloud engineers, DevSecOps personnel, network engineers, identity teams, program managers, and Government stakeholders to coordinate cryptographic modernization and PQC migration activities.
  • Communicate complex quantum computing and cryptographic risks in clear business and mission terms to technical teams, program leadership, and non-technical executives.
  • Develop technical assessments, white papers, implementation recommendations, risk analyses, briefings, and presentations addressing quantum risk, cryptographic posture, migration readiness, and modernization priorities.
  • Track emerging quantum-computing capabilities, cryptographic technologies, and evolving standards to identify potential impacts to the VA enterprise and recommend appropriate engineering or modernization actions.
  • Support project and lifecycle management activities associated with cryptographic modernization, including requirements development, configuration management, risk tracking, implementation planning, and transition sequencing.
  • Core Role Focus
  • May require occasional on-site visits

Requirements:

  • Minimum of 10 years IT experience of which at least 5 years are of Quantum Computing and Cryptography experience at a large corporation or Government agency similar in size/scope to GSA, IRS, DoD or VA. 
  • A Master's degree in a related IT field may substitute for up to 2 years of the required experience 
  • Expertise in quantum mechanics, quantum algorithms (e.g., Shor's algorithm, Grover's algorithm), and quantum information theory. 
  • Expertise in quantum programming languages and frameworks such as Qiskit (IBM), Cirq (Google), Quipper, and Microsoft Quantum Development Kit  
  • Expertise in cryptographic protocols (e.g., RSA, AES) and principles of public-key infrastructure (PKI). 
  • Expertise in post-quantum cryptography and quantum-resistant algorithms. 
  • Expertise in existing cryptographic standards and frameworks (e.g., NIST, ISO/IEC 19790). 
  • Proficiency in programming languages such as Python, C++, and Java for implementing and testing cryptographic algorithms. 
  • Expertise with classical and quantum simulation tools. 
  • Expertise working with and advising on quantum-resistant algorithm migration plans and post-quantum cryptography (PQC) implementation strategies. Expertise assessing organizational cryptographic inventory and identifying migration priorities. Expertise collaborating with cross-functional teams to communicate quantum risk to non-technical leadership. Experience providing policy and guidance inputs for cryptographic modernization aligned with NIST PQC standards (FIPS 203, 204, 205). 
  • Expertise in project management or working in a project-oriented environment, with an understanding of how configuration management fits into the overall project lifecycle within a large corporation and Government agency similar in size/scope to GSA, IRS, DoD or VA. 

Preferred/Desired:

  • Bachelor's degree in Business Administration, Business Management, Cybersecurity, Computer Science, Information Systems, Information Assurance, Information Security, Information Resource Management, or related fields. 
  • CASP+ (SecurityX), CCISO, CISA, CISM, CISSP, CISSP-ISSAP, CISSP-ISSEP, GCED, GCIH, GSLC, CCNP Security