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Dram Engineer Jobs in Seattle, WA (NOW HIRING)

Rust Engineer

Seattle, WA ยท On-site

$91K - $123K/yr

Hello, Role - Rust Engineer Duration - 6+ Months Location - Seattle, WA Job Summary As a member of ... Key Responsibilities Drive Java-to-Rust migrations as a DRAM-reduction lever: apply the decision ...

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You will work with many engineering teams, in and outside of AWS, to create new products. You will lead the technical product strategy of memory technologies (DRAM, HBM and new emerging memory) and ...

You will work with many engineering teams, in and outside of AWS, to create new products. You will lead the technical product strategy of memory technologies (DRAM, HBM and new emerging memory) and ...

EE Hardware Engineer

Seattle, WA ยท On-site

$90 - $130/hr

... DRAM interfaces (DDR4 or DDR5), I2C, SPI, OPAMP, ADCs/DACs * Working experience of programming languages (Python, C/C++) for real-time scripting during bring-up in the lab and development of test ...

You will work with many engineering teams, in and outside of AWS, to create new products. You will lead the technical product strategy of memory technologies (DRAM, HBM and new emerging memory) and ...

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Showing results 1-20

Dram Engineer information

See Seattle, WA salary details

$43.2K

$103K

$171.3K

How much do dram engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for dram engineer in Seattle, WA is $103,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,400.00 and $113,800.00 per year, depending on experience, location, and employer.

What is a DRAM engineer?

DRAM Engineers are specialized professionals who design, develop, test, and optimize Dynamic Random Access Memory (DRAM) chips used in computers and electronic devices. They work on improving memory performance, power efficiency, and reliability, often collaborating with hardware and software teams. Their responsibilities may include circuit design, validation, failure analysis, and process improvement to meet the demands of modern computing applications.

What is the difference between Dram Engineer vs Memory Engineer?

AspectDram EngineerMemory Engineer
CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related fields; certifications like IEEE are commonSimilar educational background; often holds certifications in memory design or semiconductor manufacturing
Work EnvironmentDesign labs, semiconductor fabs, R&D centersDesign labs, semiconductor manufacturing facilities, R&D centers
Industry UsageMemory chip companies, electronics manufacturersMemory chip companies, electronics manufacturers
Job FocusDesign and optimize DRAM modules, ensure performance and reliabilityDesign and develop various types of memory, including DRAM, SRAM, Flash

Both Dram Engineers and Memory Engineers work in similar environments and industries, often sharing educational backgrounds and certifications. While Dram Engineers focus specifically on DRAM technology, Memory Engineers may work on a broader range of memory types. The roles are closely related, with overlapping skills in semiconductor design and testing.

How does a DRAM engineer typically collaborate with cross-functional teams during the memory development process?

As a DRAM Engineer, you'll collaborate closely with teams including circuit design, process engineering, product testing, and firmware development. This collaboration ensures that the DRAM modules meet performance, reliability, and manufacturability standards. Regular meetings, design reviews, and troubleshooting sessions are common, requiring strong communication skills and a willingness to work through technical challenges together. Being proactive in sharing insights and addressing issues early helps streamline product development and supports successful project outcomes.

What are the key skills and qualifications needed to thrive as a DRAM engineer, and why are they important?

To thrive as a DRAM Engineer, you need a solid background in electrical engineering or a related field, with expertise in semiconductor memory design and circuit analysis. Familiarity with tools such as SPICE simulators, CAD/EDA software, and experience with DRAM testing methodologies are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are crucial soft skills for this role. These competencies are important to ensure the development of reliable, high-performance memory solutions that meet industry standards.
Infographic showing various Dram Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $103,035 per year, or $49.5 per hour.

EKS/Kubernetes Engineer{DRAM MEMORTY OPTIMIZATION}

SDVS Technologies LLC

Seattle, WA โ€ข On-site

$65 - $86.25/hr

Other

Posted yesterday

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Job description

Job Summary


Looking for an experienced EKS/Kubernetes Engineer to optimize memory usage and reduce DRAM waste across large-scale AWS environments. The role will focus on EKS cluster management, Kubernetes resource optimization, memory profiling, and production validation.


Must-Have Skills


โ€ข    Hands-on AWS EKS/Kubernetes experience
โ€ข    Strong experience managing EKS clusters, node groups, and autoscaling
โ€ข    Hands-on Kubernetes resource right-sizing and memory optimization
โ€ข    Experience with VPA, HPA, Cluster Autoscaler and/or Karpenter
โ€ข    Experience optimizing pod memory requests/limits and node utilization
โ€ข    Strong understanding of Linux memory, cgroups, OOM-Kill, and container memory
โ€ข    Hands-on experience with Prometheus, Grafana, kubectl top, and cAdvisor
โ€ข    Experience with memory profiling, resource utilization analysis, and identifying memory waste
โ€ข    Experience with node pool optimization, bin-packing, or capacity optimization
โ€ข    Experience with load/stress testing and production validation
โ€ข    Proficiency with Generative AI tools for engineering and troubleshooting
Preferred
โ€ข    CloudWatch Container Insights / X-Ray
โ€ข    Chaos engineering and canary deployments
โ€ข    CI/CD and infrastructure automation
โ€ข    AI agents or automated engineering workflows
The core focus is EKS + Kubernetes memory profiling + resource right-sizing + DRAM optimization