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Phd Computer Science Jobs in Texas (NOW HIRING)

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

... in Computer Science, Engineering, Mathematics, or a related field Preferred : • Master's or PhD in Machine Learning, Computer Science, AI, or a related field • Experience with distributed ...

PhD in Computer Science, Electrical Engineering and Computer Science, Electronics and Communications Engineering, or related discipline. * Internship or experience in a CPU design or verification ...

Master's degree in data science / computer science with 6+ years professional experience OR 10+ ... PhD or published research in ML/AI, or deep expertise across ML and LLM operations (e.g., neural ...

CPU Performance Architect

Austin, TX · On-site

$165K/yr

PhD in Computer Science, Electrical Engineering and Computer Science, Electronics and Communications Engineering, or related discipline. * Internship or experience in a CPU design or verification ...

Master's degree in data science / computer science with 6+ years professional experience OR 10+ ... PhD or published research in ML/AI, or deep expertise across ML and LLM operations (e.g., neural ...

Senior Software Engineer

Austin, TX

$121K - $160K/yr

Education & Experience * BS/MS/PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ...

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Education & Experience * BS/MS/PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ...

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

Education & Experience * BS/MS/PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ...

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Phd Computer Science information

See Texas salary details

$52.6K

$77.4K

$91.3K

How much do phd computer science jobs pay per year?

As of Jun 16, 2026, the average yearly pay for phd computer science in Texas is $77,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $87,100.00 per year, depending on experience, location, and employer.

Is a CS PhD worth it?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles that require advanced technical expertise. It typically involves several years of study, research, and publication, and is valuable for positions that demand deep knowledge or innovation in areas like artificial intelligence, algorithms, or data science.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on the industry, location, and experience. Academic positions, research roles, and industry jobs such as software engineering or data science may have different salary ranges, with industry roles generally offering higher compensation.

Can I make 200K with a computer science degree?

A PhD in Computer Science can lead to high-paying roles such as research scientists, data scientists, or senior software engineers, where salaries of $200,000 or more are achievable, especially in tech hubs or with extensive experience. However, reaching this level typically requires advanced skills, experience, and sometimes additional certifications or leadership responsibilities.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, and university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What cities in Texas are hiring for Phd Computer Science jobs? Cities in Texas with the most Phd Computer Science job openings:
Infographic showing various Phd Computer Science job openings in Texas as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 39% Full Time, 56% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $77,429 per year, or $37.2 per hour.
Data Scientist - Strategic Data Solutions

Data Scientist - Strategic Data Solutions

Apple

Austin, TX • On-site

Full-time

Posted 20 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. ..At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. ..As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed. - Design and execute observational and experimental studies of causal inference - Work with large, complex data sets. - Develop automated solutions to deliver insights and alerts - Drive feature evaluation and product roadmap with insights
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala) Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences At least 3 years experience working as a Data Scientist
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency Excellent product intuition, keen eye for design and customer pain point awareness Experience developing anomaly detection and causal inference models

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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