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Tree Worker

Arlington, VA · On-site

$22 - $28.75/hr

Tree Worker For George Washington Memorial Parkway You will serve as a Tree Worker for George ... First time hires to the Federal government normally start at the step 1 rate.

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As of Jul 31, 2026, the average hourly pay for first time worker in the United States is $23.60, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $26.92 per hour, depending on experience, location, and employer.

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As a first-time worker, you can typically expect a structured onboarding process that introduces you to workplace policies, safety procedures, and your specific job duties. Many employers provide hands-on training, mentorship programs, and regular check-ins with supervisors to help you acclimate. You may also receive ongoing support from colleagues and access to resources like employee handbooks or online training modules. Open communication with your team and supervisor will help you build confidence and grow in your new role.

What are the key skills and qualifications needed to thrive as a First Time Worker, and why are they important?

To thrive as a First Time Worker, you need basic workplace skills such as punctuality, reliability, and a willingness to learn, often with a high school diploma or equivalent as the minimum requirement. Familiarity with common office software, point-of-sale systems, or industry-specific equipment may be expected, depending on the job. Strong communication, teamwork, and adaptability make someone stand out in this entry-level position. These skills and qualities are important because they help build a foundation for professional growth and ensure successful integration into the workforce.

What is the difference between First Time Worker vs Entry-Level Employee?

AspectFirst Time WorkerEntry-Level Employee
CredentialsNo prior experience or certifications typically requiredUsually minimal experience; may require basic certifications depending on the industry
Work EnvironmentVaries; often in retail, hospitality, or manual laborOffice, retail, or industrial settings, depending on the role
Employer UsageHiring individuals new to the workforceHiring individuals with little to no professional experience in a specific field

In summary, a First Time Worker is someone entering the workforce for the first time, often with no prior experience, while an Entry-Level Employee may have some basic skills or certifications but is still at the beginning of their career. Both roles are common for those starting in various industries and typically require minimal experience.

What are first time workers?

First time workers are individuals who are entering the workforce for the first time, typically with little or no previous job experience. They may be recent high school or college graduates, or people starting a career after a long period of education or other activities. First time workers often take entry-level positions to gain experience, learn workplace skills, and begin building their professional networks. Employers may provide additional training and support to help first time workers adjust to the expectations and responsibilities of employment.
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First Time Worker jobs near you
Infographic showing various First Time Worker job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $49,095 per year, or $23.6 per hour.

Manager, First Time Deployment - NVIS

Nvidia

Santa Clara, CA

Full-time

Posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies

Job description

Will you be part of the team that helps our partners to develop customer solutions using the latest NVIDIA full stack accelerated computing platform? NVIDIA defines and delivers the computing infrastructure of today and tomorrow. We are committed that these infrastructures deliver the highest value to our customers who own and operate these infrastructures.

We are looking for a team leader to operationalize the latest technologies at NVIDIA by bridging the gap between prototype models and production-ready deployment plans. The team will drive initial deployment setup, prepares sites, establishes product feedback loops to design engineering teams, assembles validation data, resolves obstacles, applies workarounds, and details deployment plans. They lead all aspects of making the latest NVIDIA products and systems functional by capturing install and bring-up evidence, handle the validation process, describe blockers, and find solutions to deploy AI Factories globally.

What you will be doing:

  • Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments.

  • Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts.

  • Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic customers.

  • Personally lead and guide complex compute/network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters.

  • Guide your team as they lead network / compute / software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed.

  • Systematically collect and synthesize customer-specific requirements across your portfolio.

  • Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions.

  • Demonstrate SME in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features.

  • Identify new project opportunities for NVIDIA products and technology solutions in data center and AI applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams

What we need to see:

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

  • 8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, with 2+ years leading or mentoring engineers or architects (formal manager or strong tech lead).

  • System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.

  • Experience with data center networking (Ethernet and/or InfiniBand switches, fabrics, and associated tooling) and familiarity with data center infrastructure (power, cooling, deployment constraints).

  • Proven ability to lead technical teams, set priorities, and drive complex projects from design through production.

  • Demonstrated success working with Product Management, Sales, and Engineering.

  • Strong time management skills and ability to balance planning with hands-on support where needed.

  • Excellent written and verbal communication, including the ability to lead customer meetings, communicate status and risks, and produce clear design docs, debug summaries, and presentations.

Ways to stand out from the crowd:

  • Direct people management & recruiting experience for geographically distributed technical teams.

  • Track record leading bring-up and deployment of large clusters or supercomputing environments.

  • Background in external customer-facing roles (field engineering, escalations, or pre/post-sales architecture).

  • Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers

  • Hands-on experience with NVIDIA GPU systems and SDKs (e.g., CUDA), NVIDIA networking technologies (NICs, RoCE, InfiniBand), and/or ARM-based CPU solutions as well as familiarity with virtualization and cloud-native networking concepts.

We make extensive use of conferencing tools, but occasional (30%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team!

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 3, and 216,000 USD - 345,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 18, 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

Year founded

1993

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