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Entry Level Deployment Jobs (NOW HIRING)

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

We are looking for an entry-level engineer or intern to support the optimization and deployment of multimodal models onto vehicle-grade compute platforms. This role is a strong fit for candidates who ...

TEKsystems

Deployment Technician

Bend, OR

$20 - $25/hr

Open to entry level IT candidates with IT certifications * Must have your own vehicle and valid drivers license * High school diploma or equivalent * Must be willing to submit to a driving record ...

SkillStorm

Entry Level Software Developer

Dallas, TX · On-site

They are seeking an Entry Level Software Developer to participate in a 12-week paid training program, followed by deployment to an enterprise or government client. Responsibilities : • Build and ...

SkillStorm

Entry Level Software Developer

Richmond, VA · On-site

They are seeking an Entry Level Software Developer to participate in a 12-week paid training program, followed by deployment to an enterprise or government client. Responsibilities : • Build and ...

SkillStorm

Entry Level Software Developer

Boston, MA · On-site

They are seeking an Entry Level Software Developer to participate in a 12-week paid training program, followed by deployment to an enterprise or government client. Responsibilities : • Build and ...

SkillStorm

Entry Level Software Developer

Houston, TX · On-site

They are seeking an Entry Level Software Developer to participate in a 12-week paid training program, followed by deployment to an enterprise or government client. Responsibilities : • Build and ...

SkillStorm

Entry Level Software Developer

Chicago, IL · On-site

They are seeking an Entry Level Software Developer to participate in a 12-week paid training program, followed by deployment to an enterprise or government client. Responsibilities : • Build and ...

Hitachi

Deployment Electrician

Holland, MI · On-site

Join us as a Deployment Electrician in Holland, MI as we work together to bring innovative automation solutions to life. Location Type: This is a full-time hourly position based onsite in Holland, MI ...

Hitachi, Ltd.

Deployment Electrician

Holland, MI · On-site

Join us as a Deployment Electrician in Holland, MI as we work together to bring innovative automation solutions to life. Location Type: This is a full-time hourly position based onsite in Holland, MI ...

Hitachi

Deployment Electrician

Holland, MI

Join us as a Deployment Electrician in Holland, MI as we work together to bring innovative automation solutions to life. Location Type: This is a full-time hourly position based onsite in Holland, MI ...

Hitachi

Deployment Electrician

Holland, MI

Join us as a Deployment Electrician in Holland, MI as we work together to bring innovative automation solutions to life. Location Type: This is a full-time hourly position based onsite in Holland, MI ...

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All JobsEntry Level Deployment Jobs

Entry Level Deployment information

See salary details

$27K

$61.1K

$101.5K

How much do entry level deployment jobs pay per year?

As of Jun 29, 2026, the average yearly pay for entry level deployment in the United States is $61,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What jobs pay $2000 a day?

Entry level deployment roles typically do not pay $2000 a day; such high daily rates are usually associated with specialized or senior positions in fields like consulting, project management, or technical contracting. These roles often require extensive experience, certifications, or expertise in specific tools or environments, and compensation may be project-based or include high hourly rates for short-term assignments.

How to make $10,000 a month with no degree?

Entry level deployment roles typically do not pay $10,000 per month without specialized skills or experience. To increase earning potential, gaining certifications, developing technical skills, and gaining experience in high-demand areas like cloud computing or cybersecurity can help. Freelance work, consulting, or starting a business may also provide higher income opportunities without a degree.

How to make $80,000 a year without a degree?

Entry level deployment roles in fields like IT, logistics, or technical support can pay around $80,000 annually with relevant skills, certifications, and experience. Gaining expertise in areas such as network management, cloud services, or technical troubleshooting can increase earning potential without a degree.

What are the key skills and qualifications needed to thrive as an Entry Level Deployment Specialist, and why are they important?

To thrive as an Entry Level Deployment Specialist, you need a basic understanding of IT systems, troubleshooting, and hardware/software installation, typically supported by a relevant associate degree or technical certification. Familiarity with deployment tools such as Microsoft System Center Configuration Manager (SCCM) or imaging software is commonly required. Strong attention to detail, problem-solving abilities, and effective communication help you stand out in this role. These skills are crucial for ensuring smooth technology rollouts, minimizing downtime, and supporting end-users effectively.

What are the typical responsibilities for an Entry Level Deployment specialist during a deployment project?

As an Entry Level Deployment specialist, your main responsibilities include preparing, installing, and configuring hardware or software solutions at client sites or remotely. You will often work closely with senior team members to ensure deployments run smoothly, assist with troubleshooting any technical issues that arise, and document each step of the deployment process. Strong communication skills are important, as you may collaborate with IT teams, clients, and vendors to coordinate schedules and address questions. Over time, you’ll gain exposure to more complex tasks and larger projects, helping you build a strong foundation for career advancement.

How to make 2000 a week working from home?

Entry level deployment roles typically do not pay $2000 weekly; however, increasing earnings can involve gaining specialized skills, certifications, or taking on multiple projects. Many remote deployment jobs pay hourly or project-based rates, so building experience and efficiency can help increase income over time.

What is an entry level deployment job?

An entry level deployment job typically involves assisting with the installation, configuration, and rollout of software, hardware, or systems within an organization. People in these roles often support senior technicians, follow deployment plans, and ensure that all components are set up correctly. These positions are ideal for those new to IT or project implementation, offering hands-on experience and opportunities to learn industry-standard processes. Attention to detail, good communication, and problem-solving skills are important for success in this role.

What is the difference between Entry Level Deployment vs Entry Level Network Technician?

AspectEntry Level DeploymentEntry Level Network Technician
Required CredentialsBasic IT certifications (e.g., CompTIA A+), some technical trainingSimilar certifications, often including CompTIA Network+ or Cisco CCNA
Work EnvironmentOn-site deployment, hardware setup, and configurationOn-site or remote troubleshooting, network setup, and maintenance
Employer & Industry UsageTelecommunications, IT services, hardware providersIT departments, internet service providers, tech companies

Entry Level Deployment and Entry Level Network Technician roles share similar certifications and work environments, focusing on technical setup and support. Deployment roles emphasize hardware installation and physical setup, while Network Technicians focus more on network troubleshooting and maintenance. Both are common entry points in the IT and telecommunications industries, often overlapping in skills and employer expectations.

What are the most commonly searched types of Deployment jobs? The most popular types of Deployment jobs are:
What job categories do people searching Entry Level Deployment jobs look for? The top searched job categories for Entry Level Deployment jobs are:
Entry Level Deployment jobs near you
Infographic showing various Entry Level Deployment job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 6% Temporary, 6% Contract, and 6% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $61,070 per year, or $29.4 per hour.

AI Intern - VLA Deployment

XPENG

Santa Clara, CA • On-site

Internship

Posted 25 days ago

Key responsibilities

  • Support model quantization and deployment efforts for large-scale multimodal models, including Transformers and vision-language models.

  • Assist with applying model optimization techniques such as post-training quantization, quantization-aware training, pruning, and related compression methods under guidance from senior engineers.

  • Contribute to deployment tools, test pipelines, and runtime modules in C++ and Python for autonomous driving systems.

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
The Mission: Vision-Language-Action (VLA) models and foundation models are becoming increasingly important in autonomous driving, but turning research models into real-time, production-ready systems on vehicle hardware remains a major challenge. We are looking for an entry-level engineer or intern to support the optimization and deployment of multimodal models onto vehicle-grade compute platforms. This role is a strong fit for candidates who are excited about deep learning systems, model deployment, and edge inference for real-world autonomous driving applications.
Key Responsibilities
  • Support model quantization and deployment efforts for large-scale multimodal models, including Transformers and vision-language models.
  • Assist with applying model optimization techniques such as post-training quantization, quantization-aware training, pruning, and related compression methods under guidance from senior engineers.
  • Work with research and platform teams to help improve model deployability and understand hardware and runtime constraints.
  • Contribute to deployment tools, test pipelines, and runtime modules in C++ and Python for autonomous driving systems.
  • Help analyze model performance, memory usage, latency, and numerical accuracy across different deployment targets.
  • Participate in debugging and performance tuning across the model, runtime, and system stack.
  • Support validation and testing workflows to ensure stable and reliable deployment in vehicle and simulation environments.

Basic Qualifications
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Strong programming skills in C++ and/or Python.
  • Familiarity with deep learning frameworks such as PyTorch.
  • Basic understanding of model inference, deployment, or optimization workflows using tools such as ONNX, TensorRT, or similar frameworks.
  • Exposure to model compression or quantization concepts such as INT8, FP16, or related approaches.
  • Interest in computer architecture, performance optimization, and edge or embedded systems.
  • Strong problem-solving skills and the ability to learn quickly in a fast-paced engineering environment.
  • Good communication skills and the ability to collaborate with cross-functional teams.

Preferred Qualifications
  • Internship, research, or project experience in deep learning model deployment, inference acceleration, or embedded AI.
  • Familiarity with Transformers, multimodal models, or foundation models.
  • Experience with CUDA or GPU programming.
  • Exposure to autonomous driving, robotics, or real-time systems.
  • Contributions to research projects, open-source repositories, or relevant course projects.

What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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