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Remote Scale Operator Jobs in Bothell, WA (NOW HIRING)

Truce Law

Human Resources Manager

Seattle, WA · On-site +1

Hybrid/Remote Schedule with Flexibility: Seattle-based hybrid/Remote; flexibility within role ... scales it as the firm grows. Payroll is transitioning from the Controller. Trainual needs a day-to ...

Gusto, Inc.

Staff Software Engineer, AI Security

Seattle, WA · On-site +1

$181K - $215K/yr

Experience building and operating high-availability services at scale * Ability to partner cross ... most remote locations, and $218,94-260,000 in the San Francisco Bay Area, Seattle, and NYC. Stock ...

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All JobsScale Operator JobsRemote Scale Operator JobsRemote Scale Operator Jobs in Bothell, WA

Remote Scale Operator information

See Bothell, WA salary details

$13

$19

$24

How much do remote scale operator jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote scale operator in Bothell, WA is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.02 per hour, depending on experience, location, and employer.

What are remote scale operators?

Remote scale operators are professionals who manage and monitor weighing systems, such as truck or industrial scales, from a remote location. They are responsible for ensuring accurate weight measurements, verifying load records, and maintaining communication with drivers and onsite staff. Their work often involves using specialized software and technology to operate scales, log data, and troubleshoot issues. Remote scale operators play a crucial role in industries like logistics, agriculture, and waste management, where accurate weight tracking is essential.

What is the difference between Remote Scale Operator vs Remote Data Entry Clerk?

AspectRemote Scale OperatorRemote Data Entry Clerk
Required CredentialsHigh school diploma, training in weighing systemsHigh school diploma or equivalent, basic computer skills
Work EnvironmentIndustrial or warehouse settings, remotely monitoring scalesOffice or home-based, entering data into systems
Employer & Industry UsageLogistics, manufacturing, transportationAdministrative, healthcare, retail sectors
Common Search & ComparisonRemote Scale Operator vs Remote Data Entry Clerk

The Remote Scale Operator and Remote Data Entry Clerk roles share similarities in working remotely and requiring basic technical skills. However, the Remote Scale Operator focuses on monitoring and managing weighing systems in industrial environments, often requiring specific training. In contrast, the Remote Data Entry Clerk primarily handles data input tasks in administrative settings. Both roles are essential in their industries but serve different operational functions.

What are the key skills and qualifications needed to thrive as a Remote Scale Operator, and why are they important?

To thrive as a Remote Scale Operator, you need attention to detail, basic math skills, and a high school diploma or equivalent. Familiarity with digital scale systems, weighbridge software, and data entry tools is typically required. Strong communication, problem-solving abilities, and reliability help you excel in coordinating with drivers and ensuring accurate records. These skills are crucial for maintaining operational efficiency, regulatory compliance, and accurate transactions in industries like logistics and waste management.

What are some common challenges faced by Remote Scale Operators and how can they be effectively managed?

Remote Scale Operators often face challenges such as maintaining accuracy while managing multiple simultaneous tasks, troubleshooting remote technology issues, and communicating effectively with on-site personnel. Staying organized and using digital tools to track loads and weights can help minimize errors. Establishing clear communication protocols with drivers and facility staff ensures smooth operations, and being proactive about regular system checks can reduce downtime from technical glitches. Continuous learning and adaptability are key to handling the fast-paced and sometimes unpredictable nature of the role.
What are the most commonly searched types of Scale Operator jobs in Bothell, WA? The most popular types of Scale Operator jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Scale Operator jobs? Cities near Bothell, WA with the most Remote Scale Operator job openings:
Remote Scale Operator jobs near you
Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

Nvidia

Seattle, WA • Remote

$68.25 - $88.75/hr

Full-time

Posted 3 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

The DGX Cloud organization at NVIDIA brings together cutting-edge hardware and software innovation to deliver industry-leading accelerated computing for the world's most adventurous AI workloads. We're a team of innovative engineers dedicated to solving some of the world's biggest challenges, constantly driving advancements, and impacting millions of lives worldwide!

We are looking for an outstanding Senior Systems Software Engineer with deep experience in distributed systems, open-source technologies such as Kubernetes and containers, and a strong background in systems performance and scalability. The ideal candidate brings broad, end-to-end experience across the stack - from GPU operator and device plugins to distributed inference serving and cloud platforms - along with the technical depth to investigate and address exciting, real-world problems at scale. In this pivotal role, you will take on the challenge of scaling AI infrastructure while optimizing total cost of ownership, driving down cost per token to unlock the next generation of AI innovation and AI factories!

What you'll be doing:

  • Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack, from Kubernetes control and data planes through NVIDIA components such as GPU Operator, Network Operator, DCGM, NIM, and distributed inference serving, following issues from orchestration down to the metal.

  • Collaborate with AI researchers, developers and customers to develop innovative, automated tests that simulate real user workloads using custom-built and leading open-source tools and frameworks.

  • Deep dive into performance and scale issues in complex distributed systems, including interactions between Kubernetes and the NVIDIA software stack, to identify and resolve root causes.

  • Design and develop monitoring, reporting and analysis tools for performance and scale testing across software, GPU and CPU resources.

  • Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale, ensuring reliability and efficiency.

  • Build and maintain a high-velocity framework that enables continuous, always-on performance and scale testing via a modern CI/CD pipeline.

  • Document research, methodologies and results clearly and concisely, and present findings at internal and external venues, including community conferences such as KubeCon and GTC.

  • Engage efficiently with upstream communities - including Kubernetes, CNCF and NVIDIA open-source projects - to validate performance and scalability of AI workloads early and help shape design and development decisions.

What we need to see:

  • 8+ years of experience Computer Architecture, Networking, Storage systems, Accelerators and Bachelors/Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience

  • Expertise in Kubernetes and familiarity with related CNCF projects

  • Background in working with large scale parallel and distributed accelerator-based systems

  • Expertise optimizing performance and AI workloads on large scale systems

  • Experience with performance modeling and benchmarking at scale

  • Proficiency in Golang/Python

  • Background with the NVIDIA software ecosystem in both training and inference domains

  • Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI for example)

Ways to stand out from the crowd:

  • Strong operational experience with any one of the Kubernetes distributions

  • Prior experience scaling Kubernetes clusters to ultra-large node and object counts

  • Demonstrated history of working in the open-source community

  • Excellent communication and interpersonal abilities

  • PhD in relevant areas

#LI-Remote

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 June 28, 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

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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