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Biomedical Engineering Jobs in Oregon (NOW HIRING)

OR ยท On-site

MS, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, Computational Chemistry, Robotics, or related fields with strong applied experience. * 8+ years ...

OR ยท On-site

PhD in biomedical engineering, physics, neuroscience, or a related field * 5+ years of handson experience in molecular imaging, including PET, SPECT, and novel tracers * Strong working knowledge of ...

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AA Degree in Electronics, Biomedical Engineering or related field is preferred. A minimum of seven years of previous field service preferably in the medical device industry or in a related industry ...

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Biomedical Engineering information

See Oregon salary details

$43.3K

$100.2K

$148K

How much do biomedical engineering jobs pay per year?

As of Jun 13, 2026, the average yearly pay for biomedical engineering in Oregon is $100,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $122,600.00 per year, depending on experience, location, and employer.

What kind of jobs are there in biomedical engineering?

Biomedical engineering offers a variety of roles including biomedical engineer, clinical engineer, research scientist, medical device designer, and quality assurance specialist. These jobs often involve designing, testing, and maintaining medical devices, equipment, and systems, requiring knowledge of biology, engineering principles, and regulatory standards.

What engineers make $500,000?

In biomedical engineering, high salaries reaching $500,000 are typically achieved by senior-level professionals with extensive experience, advanced degrees, and specialized skills, often working in leadership roles, research, or in the biotech and pharmaceutical industries. Such compensation may also include bonuses, stock options, or other incentives, especially in large companies or startups with significant funding.

What can I do with a biomedical engineering degree?

A biomedical engineering degree prepares individuals for careers designing medical devices, developing healthcare technologies, and working in research or clinical settings. Graduates often work as biomedical engineers, clinical engineers, or in product development, requiring knowledge of biology, engineering principles, and often certification or licensing. The field offers opportunities in hospitals, medical device companies, research institutions, and regulatory agencies.

What are the typical work environments and team structures for biomedical engineers?

Biomedical engineers often work in diverse settings, including hospitals, research labs, manufacturing companies, or academic institutions. They usually collaborate in interdisciplinary teams with healthcare professionals, scientists, and product designers to develop and test medical devices or technologies. Depending on the organization, you may be involved in research and development, regulatory compliance, or product support, allowing for a mix of independent and team-based work. This collaborative approach not only enriches daily tasks but also provides valuable exposure to different specialties within the biomedical field. As a result, biomedical engineers often find numerous opportunities for growth and career advancement.

What is a Biomedical Engineering job?

A Biomedical Engineering job involves applying engineering principles to healthcare and medical fields. Biomedical engineers design, develop, and improve medical devices, equipment, and software used in patient care. They work in hospitals, research facilities, and the medical device industry to enhance diagnostics, treatment, and rehabilitation. Their work combines biology, medicine, and engineering to solve healthcare challenges and improve patient outcomes.

What are the key skills and qualifications needed to thrive in the Biomedical Engineering position, and why are they important?

To thrive as a Biomedical Engineer, you need a strong background in biology, engineering principles, and mathematics, typically supported by a relevant bachelor's or master's degree. Familiarity with CAD software, laboratory instrumentation, and regulatory standards like FDA guidelines is essential for this role. Strong analytical thinking, problem-solving abilities, and collaborative communication skills help biomedical engineers excel in multidisciplinary environments. These competencies are critical for designing safe, effective medical devices and solutions that improve patient care.

What engineers make $300,000 a year?

Senior biomedical engineers with extensive experience, advanced specialized skills, and leadership roles can earn salaries approaching or exceeding $300,000 annually, especially in high-demand sectors like medical device development or biotech. Achieving this level often requires advanced degrees, certifications, and a strong track record of innovation or management in the field.
What are the most commonly searched types of Biomedical Engineering jobs in Oregon? The most popular types of Biomedical Engineering jobs in Oregon are:
What cities in Oregon are hiring for Biomedical Engineering jobs? Cities in Oregon with the most Biomedical Engineering job openings:
Infographic showing various Biomedical Engineering job openings in Oregon as of June 2026, with employment types broken down into 10% Internship, 70% Full Time, and 20% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $100,238 per year, or $48.2 per hour.
Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab

Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab

Nvidia

OR โ€ข On-site

Full-time

Posted 28 days ago


Job description

NVIDIA is seeking a Senior Solutions Architect to drive innovation with healthcare and life sciences customers across North America, focusing on GPU-accelerated simulations for clinical sciences and autonomous labs. As a pioneer in accelerated computing, NVIDIA empowers pharmaceutical, biotech, and healthcare organizations to unlock new possibilities in patient modeling, laboratory and biomanufacturing robotic systems, and multi-agent reasoning. In this role, you will partner with leading pharmaceutical companies, techbios, and software builders to design, implement, and optimize GPU-accelerated AI software. If you are passionate about pushing the limits of accelerated computing in life sciences, we want to hear from you!


What you will be doing:

  • Guide customers through the end-to-end adoption of GPU-accelerated AI, from requirements gathering and proof-of-concept development to deployment, integration, and ongoing optimization.

  • Architect libraries such as GPU-accelerated solvers for quantitative systems pharmacology and CPU-to-GPU migration of scientific workloads.

  • Perform low-level CUDA optimization, including custom kernels to accelerate simulation and inference workloads in drug discovery

  • Building physical AI and robotics solutions for autonomous labs and biomanufacturing such as sim-to-real VLA pipelines, real-time control layers, and integration of perception, control, and policy stacks on NVIDIA platforms.

  • Designing and deploying biomedical agentic AI systems, such as graph-based retrieval, multi-hop clinical reasoning, and persistent agent memory

  • Keeping up to date on AI advancements in healthcare, including domain-specific models, robotics, and agentic frameworks.

  • Engaging with life science executives, IT leaders, data scientists, and developers to drive adoption of NVIDIA AI stack.

  • Sharing your findings through training sessions, white papers, blog posts, and conference talks.


What we need to see:

  • MS, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, Computational Chemistry, Robotics, or related fields with strong applied experience.

  • 8+ years of experience.

  • Proven track record in software development for AI/ML, scientific computing, GPU acceleration, or robotics applied to healthcare or life sciences.

  • Hands-on experience across at least two of the three focus areas: GPU-accelerated scientific simulation, sim-to-real robotics, and end-to-end agentic AI.

  • Proficiency in Python and AI/ML frameworks (PyTorch, LangChain, or custom). Experience with C/C++ and CUDA strongly preferred.

  • Experience deploying and scaling GPU-accelerated solutions in cloud or HPC environments (OCI, AWS, Azure, or on-prem clusters).

  • Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.

  • Up to 20% travel may be required for on-site customer engagements.


Ways to stand out from the crowd:

  • Experience building GPU-accelerated scientific solvers, including low-level CUDA kernel optimization.

  • Background with sim-to-real robotics for life sciences-autonomous labs, biomanufacturing, surgical/clinical platforms-including MuJoCo or Isaac Sim, VLA pipelines, real-time control layers, and depth/RGB perception stacks.

  • Experience building, deploying, and evaluating agentic AI systems for healthcare-graph RAG over biomedical literature, long-memory agents, vision-based clinical event detection in production.

  • Familiarity with NVIDIA libraries and platforms

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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 May 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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

Year founded

1993