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Computer Science Engineer Jobs in Plano, TX (NOW HIRING)

Qorvo, Inc.

Staff Data Science Engineer

Richardson, TX · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field. * 8+ years of experience in data science, machine learning, analytics ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

Required Qualifications * BS in Computer Science, Engineer, or related technical field * 3+ years in technical customer interfacing implementation role * 5+ years in software engineering * Strong ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

Required Qualifications * BS in Computer Science, Engineer, or related technical field * 3+ years in technical customer interfacing implementation role * 5+ years in software engineering * Strong ...

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Computer Science Engineer information

See Plano, TX salary details

$46.4K

$116.3K

$131.6K

How much do computer science engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer science engineer in Plano, TX is $116,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $125,900.00 per year, depending on experience, location, and employer.

What is a computer science engineer?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

What do computer science engineers do?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

What are the key skills and qualifications needed to thrive as a computer science engineer?

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.

Do computer science engineers make good money?

Computer science engineers typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions often start with moderate pay, while experienced engineers working in specialized fields or in high-demand areas can earn significantly higher salaries, especially with skills in programming, software development, and systems design.

What are popular job titles related to Computer Science Engineer jobs in Plano, TX?

For Computer Science Engineer jobs in Plano, TX, the most frequently searched job titles are:

What job categories do people searching Computer Science Engineer jobs in Plano, TX look for?

The top searched job categories for Computer Science Engineer jobs in Plano, TX are:

What cities near Plano, TX are hiring for Computer Science Engineer jobs?

Cities near Plano, TX with the most Computer Science Engineer job openings:

Computer Science Engineer jobs near you
Infographic showing various Computer Science Engineer job openings in Plano, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $116,301 per year, or $55.9 per hour.

Staff Data Science Engineer

Qorvo, Inc.

Richardson, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Qorvo rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit to learn how our innovative team is helping connect, protect and power our planet.
Role Summary
We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value across the enterprise. This role sits at the intersection of data science, data engineering, analytics engineering, and AI productization. The right person will pair strong technical depth with practical business judgment, helping turn complex data into decisions, tools, and systems that improve operations, reduce cost, accelerate insight, and scale AI adoption.
This is a senior individual contributor role for someone who can operate as a technical leader across functions, influence stakeholders from engineers to executives, and build robust solutions in environments where data quality, governance, speed, and return on investment all matter.
In the current integration environment, this role must also work effectively within approved collaboration and information-sharing processes, including formal handling of cross-company meetings, data requests, documentation, and CSI-sensitive workflows described in the Project Comet guidance.
What You'll Do
  • Lead the architecture and implementation of production-grade data science and machine learning solutions, from problem framing through deployment and adoption.
  • Build scalable data products, models, and decision-support tools using statistical methods, machine learning, optimization, and modern analytics engineering practices.
  • Partner with business leaders, engineering, IT, manufacturing, quality, finance, and other cross-functional teams to identify high-value opportunities and prioritize work with clear business impact.
  • Translate ambiguous business problems into structured analytical approaches, measurable success criteria, and deliverable roadmaps.
  • Design and maintain reliable data pipelines, feature pipelines, experimentation frameworks, and model monitoring practices.
  • Drive the responsible use of AI across the organization by developing reusable frameworks, templates, evaluation approaches, and best practices for enterprise adoption.
  • Serve as a technical mentor to data scientists, analysts, and engineers; raise the bar on coding, experimentation, documentation, and stakeholder communication.
  • Create executive-ready narratives, visualizations, and recommendations that connect technical findings to business outcomes.
  • Partner with data platform and governance teams to ensure solutions meet requirements for security, compliance, and maintainability.
  • Help shape standards for model lifecycle management, MLOps, analytics engineering, and AI solution delivery.
  • Contribute to integration planning and enterprise analytics initiatives while following approved protocols for meetings, shared materials, data requests, and CSI/non-CSI handling where applicable. Project Comet guidance requires legally approved agendas for certain new cross-company meetings, use of the Data Request List for shared data, and routing potentially sensitive data through the appropriate review path or clean room process.

What Success Looks Like
  • You deliver analytics and AI solutions that produce measurable operational or financial impact.
  • You help the team focus on high-return opportunities that leadership can easily justify and support.
  • You raise technical quality while also improving speed, reuse, and maintainability.
  • You make data science more accessible to the business through better tools, communication, and enablement.
  • You influence decisions well beyond your direct project work.
  • You help the organization use data and AI more effectively without compromising governance, security, or compliance.

Required Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field.
  • 8+ years of experience in data science, machine learning, analytics engineering, or data platform development, including experience delivering business-facing solutions in production.
  • Strong programming skills in Python and SQL.
  • Deep experience with statistical analysis, machine learning, feature engineering, model evaluation, and experimental design.
  • Strong experience building data pipelines and working with modern data platforms and cloud analytics ecosystems.
  • Demonstrated ability to own ambiguous, high-impact problems and drive them through to adoption.
  • Experience partnering with senior stakeholders and influencing decisions across technical and non-technical groups.
  • Strong written and verbal communication skills, including the ability to explain complex concepts clearly to executives and business partners.
  • Proven ability to mentor others and lead technically without direct authority.

Preferred Qualifications
  • Advanced degree in a quantitative or technical field.
  • Experience in semiconductor, manufacturing, operations, supply chain, quality, or related industrial domains.
  • Experience building and operationalizing AI/ML solutions at enterprise scale.
  • Experience with MLOps, model monitoring, and deployment workflows.
  • Experience with Databricks, Spark, orchestration tools, BI platforms, and modern software engineering practices.
  • Familiarity with secure data environments and regulated data handling.
  • Experience working in environments that require balancing innovation with compliance, governance, and business urgency.
  • Exposure to enterprise AI enablement, internal tooling, or organization-wide adoption programs.

Technical Skills
  • Python, SQL
  • Machine learning, statistics, optimization, experimentation
  • Data modeling, ETL/ELT, analytics engineering
  • Cloud and distributed data platforms
  • BI and visualization tools
  • Git-based development workflows and production-quality software practices
  • MLOps and model lifecycle management
  • Data governance, documentation, and reproducibility

Leadership Expectations
  • Acts like an owner and focuses on business value, not just technical elegance.
  • Brings an abundance mindset and collaborates across organizational boundaries.
  • Balances strategic thinking with hands-on execution.
  • Pushes for clarity, rigor, and practical outcomes.
  • Elevates the team through mentorship, standards, and example.
  • Exercises strong judgment around sensitive data, stakeholder alignment, and enterprise constraints.

Sample Responsibilities by Problem Type
  • Build predictive and optimization models that improve yield, quality, throughput, cost, or planning.
  • Develop AI-enabled tools that scale analyst and engineer productivity.
  • Create reusable data products that standardize metrics, reduce manual effort, and improve decision speed.
  • Lead diagnostic and exploratory analyses on complex manufacturing, product, or enterprise datasets.
  • Establish frameworks for model governance, evaluation, and business adoption.

This position is not eligible for visa sponsorship by the Company.
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MAKE A DIFFERENCE AT QORVO
We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.
We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.
Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.

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