ZipRecruiter

Log In

1

Machine Learning Quantum Computing Jobs in Portland, OR

Nvidia

Senior Hypervisor and RTOS Engineer

Hillsboro, OR

$130K - $172K/yr

NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give ...

Nvidia

Senior Hypervisor and RTOS Engineer

Hillsboro, OR · On-site

$130K - $172K/yr

NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give ...

Fortis Construction

DATA ENGlNEER

Portland, OR

Experience with cloud computing and virtualization technologies (e.g., AWS, Azure, GCP ... PREFERRED QUALIFICATIONS * Experience with machine learning and artificial intelligence ...

Intel

AI Infrastructure Engineer

Hillsboro, OR · On-site

$170K - $315K/yr

... Machine Learning, or related field and 4+ years experience, Masters Degree and 3+ years, OR PhD. 3+ years of relevant software engineering experience in GPU computing, AI systems, or high-performance ...

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170K - $315K/yr

Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred qualifications : * 3 years+ Machine learning and deep learning algorithms or High-performance computing ...

Nvidia

Senior ASIC Timing Engineer

Hillsboro, OR · Hybrid

More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to tackle, that ...

previous page

Showing results 41-60

All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Portland, OR

Machine Learning Quantum Computing information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do machine learning quantum computing jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning quantum computing in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

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 Portland, OR?

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

What job categories do people searching Machine Learning Quantum Computing jobs in Portland, OR look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Portland, OR are:

Machine Learning Quantum Computing jobs near you

Senior Security Engineer, RTOS and Virtualization

Hillsboro, OR • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$124K - $171K/yr

Full-time

Re-posted 21 hours ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle.

Within NVIDIA DRIVE Software, the Hypervisor and RTOS Team contributes significantly to NVIDIA's advancement in artificial intelligence and autonomous vehicles. Our mission is to manage system resource sharing and separation while fulfilling real-time, safety, and security needs. We design Hypervisor and RTOS focusing on automotive quality, safety, and security required by the real-time, highly reliable system parts of leading Autonomous Vehicles.

We are hiring now for the position of Senior Security Engineer, RTOS and Virtualization What you'll be doing: Lead security engineering for RTOS, hypervisor, and embedded virtualization technologies across design, implementation, review, and verification. Collaborate on CPU and SoC architecture, including privilege levels, memory protection, DMA, interrupts, boot flows, debug controls, and hardware isolation. Build and implement defensive features such as strong partitioning, least-privilege access, secure communication, fault containment, secure updates, and recovery from malicious inputs.

Perform threat modeling and automotive TARA, and connect risks, mitigations, requirements, tests, and evidence to security and safety standards. Review low-level C/C++ code, investigate vulnerabilities, build fuzzing and security test infrastructure, and drive fixes into production. What we need to see: 8+ years of hands-on experience in systems, embedded, platform, product, or automotive security.

BSEE/ BSCS degree or equivalent experience Experience securing RTOS, hypervisor, kernel, firmware, boot, driver, or other privileged software. Strong C/C++ skills, with focus on memory safety, concurrency, resource ownership, privilege boundaries, and isolation. Familiarity with CPU and SoC security concepts including MMU/SMMU or IOMMU, DMA, interrupts, boot, debug, and hardware-backed isolation.

Experience with threat modeling, vulnerability analysis, exploitability assessment, fuzzing, static or dynamic analysis, and security remediation. Familiarity with automotive cybersecurity, safety, or process standards such as ISO/SAE 21434, UN R155, ISO 26262 interfaces, or Automotive SPICE. Ways to stand out from the crowd: Drove adoption of Rust, Ada/SPARK, formal methods, or other memory-safe and analyzable systems approaches.

Built capability-based or ownership-based security models for low-level systems. Built security automation, fuzzing infrastructure, review agents, or AI-assisted tools used by engineering teams. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 15, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

View All Nvidia Jobs

Apply