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Entry Level Computer Science Artificial Intelligence Jobs in Austin, TX

confluera

Senior Platform Engineer

Austin, TX · On-site

$103K - $142K/yr

... Computer Science or Computer Engineering We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing ...

confluera

Senior Platform Engineer

Austin, TX

$103K - $142K/yr

... Computer Science or Computer Engineering We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing ...

webAI

Sr. Data Platform Engineer

Austin, TX · On-site

$105K - $142K/yr

Job Summary : webAI is pioneering the future of artificial intelligence by establishing the first ... Required : • Bachelor's degree in Computer Science, Engineering, or a related field, or ...

Graphcore

Staff AI Performance Engineer

Austin, TX · On-site

Graphcore is one of the world's leading innovators in Artificial Intelligence compute, developing ... Required : • BS/MS in Computer Science, Electrical Engineering, or related field • Experience ...

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How much do entry level computer science artificial intelligence jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for entry level computer science artificial intelligence in Austin, TX is $16.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $17.16 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What are Entry Level Computer Science Artificial Intelligence jobs?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry-level AI professional in computer science?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Artificial Intelligence professional, and why are they important?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Austin, TX? For Entry Level Computer Science Artificial Intelligence jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Austin, TX look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities near Austin, TX with the most Entry Level Computer Science Artificial Intelligence job openings:
Entry Level Computer Science Artificial Intelligence jobs near you
Applied AI Engineer(EDA), Platform Architecture

Applied AI Engineer(EDA), Platform Architecture

Apple

Austin, TX • On-site

Full-time

Re-posted 4 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple's Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation.
We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Automation (EDA), building autonomous agents that triage errors, tune simulation parameters, and drastically reduce maintenance burdens for silicon verification teams.
Description
In this role, you will focus on AI based automations, infrastructure development, and continuous experimentation at the intersection of hardware design and verification.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).
Experience in one of the following two areas: Applied AI (experience building, deploying, and maintaining LLM-based applications, agentic workflows, or advanced prompt engineering, combined with an entry-level familiarity with EDA tools or hardware verification concepts), or EDA/Silicon (experience with RTL design, simulation, or hardware emulation platforms, combined with a demonstrated track record of working in research-oriented roles applying software automation or ML to hardware problems).
Experience with scripting, infrastructure development, and software engineering (e.g., Python, C/C++).
Preferred Qualifications
Master's in Computer Science, Electrical Engineering, or a related AI/Hardware field.
Hands-on experience with Design Verification tasks requiring application of EDA tools, including Logic Equivalence Checking (LEC), linting / static analysis tools, waveform debugging, and simulation / emulation flows.
Familiarity with Verilog, SystemVerilog, or architecting HDL testbenches for functional verification.
Experience developing software tools for co-simulating designs across multiple high-performance platforms.
Comfortable exploring unfamiliar codebases, researching cutting-edge techniques, and rapidly prototyping automated solutions.
Experience applying research methods: literature review, data-driven experimentation, analyzing results.
Strong communication skills, with the ability to collaborate effectively with cross-functional silicon engineering, design verification, and EDA development teams.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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