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Micro Systems Engineering Jobs in Oregon (NOW HIRING)

OR · On-site

... relevant performance engineering and HPC experience * 3+ yrs of experience with parallel ... principles (aka systems software fundamentals) * Implement micro-benchmarks in C/C++, read and ...

HP Engineers and Scientists leverage those capabilities for the development of next generation print systems and for emerging micro-fluidic applications and products in fields such as 3D printing ...

... system design; you don't need to be in the code daily, but you must be credible when you are ... Build the practices that make AI-native delivery real - micro-sprint methodologies, AI-informed ...

Utilizing performance and API testing tools, including Micro focus load runner, performance center ... Version control and source control systems, including Azure DevOps, GitHub, and Git; * Project ...

The engineer works directly with security analysts, system owners, and DHS CDM teams to ensure ... Micro) * Minimum 5 years of experience in cybersecurity engineering and security monitoring ...

OR · On-site

$150K - $180K/yr

... engineering excellence and team growth, with an emphasis on high-performance full-stack systems ... Frontend Expertise : Strong proficiency in modern Web UI frameworks such as React and Micro ...

OR · On-site

$150K - $180K/yr

... engineering excellence and team growth, with an emphasis on high-performance full-stack systems ... Frontend Expertise : Strong proficiency in modern Web UI frameworks such as React and Micro ...

Prior or existing experience calling on technology/micro-electronic and manufacturing customers at ... Strong established organizational systems and appointment setting practices that promote. * Strong ...

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Showing results 1-20

Micro Systems Engineering information

See Oregon salary details

$64K

$150.2K

$207.2K

How much do micro systems engineering jobs pay per year?

As of Jun 14, 2026, the average yearly pay for micro systems engineering in Oregon is $150,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $182,900.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for someone working in Micro Systems Engineering?

A Micro Systems Engineer typically spends their days designing micro-scale devices, running simulations, analyzing system performance, and collaborating with cross-functional teams to integrate microsystems into larger products. The role often involves hands-on work in cleanroom environments for device fabrication and testing, as well as documenting processes and troubleshooting issues as they arise. Engineers regularly consult with project managers, researchers, and manufacturing specialists to ensure high-quality outputs and timely project delivery. This combination of technical, collaborative, and project-based tasks makes the role dynamic and central to developing cutting-edge microtechnology solutions.

What is an example of an MBSE?

In Micro Systems Engineering, an example of Model-Based Systems Engineering (MBSE) is using SysML diagrams to create a digital model of a system's components and interactions. This approach helps improve design accuracy, facilitate communication among teams, and streamline system validation processes. MBSE tools like MagicDraw or Enterprise Architect are commonly used in this context.

What does micro systems engineering do?

Micro systems engineering involves designing, developing, and testing small-scale electronic and mechanical systems, such as sensors, actuators, and integrated circuits. Professionals in this field often work with precision tools, CAD software, and interdisciplinary knowledge to create compact, efficient devices used in industries like aerospace, medical devices, and consumer electronics.

What can I do with a biosystems engineering degree?

A biosystems engineering degree prepares individuals for careers in designing and managing biological systems, including roles in agricultural technology, environmental management, and biomedical device development. Graduates often work in research, product development, or systems optimization, utilizing skills in engineering, biology, and computer modeling. Certification and knowledge of tools like CAD and MATLAB can enhance job prospects.

What does an ISE engineer do?

An ISE (Integrated Systems Engineer) designs, develops, and tests complex electronic and embedded systems, often working with hardware and software integration. They use tools like CAD software and programming languages, and typically require knowledge of circuit design, firmware development, and system validation to ensure reliable performance in various applications.

What is a Micro Systems Engineering job?

A Micro Systems Engineering job involves designing, developing, and optimizing miniature systems that integrate mechanical, electrical, and software components. These systems are often used in medical devices, sensors, and microelectronics. Engineers in this field work on microfabrication, system integration, and performance testing to ensure reliability and efficiency. They collaborate with multidisciplinary teams to innovate and improve technology at a microscale.

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

To thrive in Micro Systems Engineering, you need a solid background in electrical or mechanical engineering, microfabrication processes, and systems integration, typically supported by a relevant engineering degree. Familiarity with CAD software, simulation tools like COMSOL or ANSYS, and experience with cleanroom protocols are often required, and certifications in microelectronics can be advantageous. Strong problem-solving abilities, meticulous attention to detail, and the capacity to collaborate across multidisciplinary teams are highly valued soft skills. These competencies enable effective design, development, and troubleshooting of miniaturized systems, which are critical for innovation and quality in this specialized field.

What are the most commonly searched types of Micro Systems Engineering jobs in Oregon? The most popular types of Micro Systems Engineering jobs in Oregon are:
What are popular job titles related to Micro Systems Engineering jobs in Oregon? For Micro Systems Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Micro Systems Engineering jobs in Oregon look for? The top searched job categories for Micro Systems Engineering jobs in Oregon are:
Infographic showing various Micro Systems Engineering job openings in Oregon as of June 2026, with employment types broken down into 64% Full Time, 12% Part Time, 20% Contract, and 4% Nights. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution, with an average salary of $150,208 per year, or $72.2 per hour.
Senior System Software Engineer - GPU Performance

Senior System Software Engineer - GPU Performance

Nvidia

OR • On-site

Full-time

Posted 24 days ago


Job description

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision?

What you will be doing:
  • Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.

  • Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack

  • Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available

  • Triage and root-cause performance issues reported by our customers

  • Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information

  • Collaborate with a very dynamic team across multiple time zones

What we need to see:
  • M.S. (or equivalent experience) or PhD in Computer Science, or related field with relevant performance engineering and HPC experience

  • 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)

  • Experience conducting performance benchmarking and triage on large scale HPC clusters

  • Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)

  • Implement micro-benchmarks in C/C++, read and modify the code base when required

  • Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python

  • Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)

  • Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones

Ways to stand out from the crowd:
  • Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control

  • Experience debugging network issues in large scale deployments

  • Familiarity with CUDA programming and/or GPUs

  • Experience with Deep Learning Frameworks such PyTorch, TensorFlow

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 11, 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.

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