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Computer Architecture Jobs in Texas (NOW HIRING)

Computer Engineering

Dallas, TX · Remote

$35 - $60/hr

You'll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems ...

A PhD with a focus in computer architecture is a plus. * 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects.

Performance Architect

Austin, TX · Hybrid

$165K/yr

Strong expertise and hands-on experience working on computer architecture, GPU architecture, CPU and GPU micro-architecture, cache hierarchy, coherent memory sub-system, SoC internal interconnect ...

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Computer Architecture information

See Texas salary details

$148.6K

$163K

$176.1K

How much do computer architecture jobs pay per year?

As of Jun 14, 2026, the average yearly pay for computer architecture in Texas is $163,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $156,100.00 and $170,000.00 per year, depending on experience, location, and employer.

Is computer architecture worth IT?

Computer architecture is a fundamental field within information technology that involves designing and optimizing computer systems. Careers in this area often require strong knowledge of hardware, programming, and system design, and can lead to roles in hardware engineering, system design, and performance analysis, which are in demand across various tech industries.

What is the difference between Computer Architecture vs Computer Hardware Engineer?

AspectComputer ArchitectureComputer Hardware Engineer
Primary FocusDesigning and optimizing the overall structure and organization of computer systemsDesigning, developing, and testing physical computer components and systems
Work EnvironmentResearch labs, design firms, academiaManufacturing facilities, hardware development companies
Required CredentialsBachelor's or master's in Computer Engineering, Electrical Engineering, or related fieldsBachelor's or master's in Electrical Engineering, Computer Engineering, or related fields
Industry UsageUsed by system designers, researchers, and academiaUsed by hardware manufacturers, product developers, and engineers

While both roles involve working with computer systems, Computer Architecture focuses on designing the overall system structure and performance optimization, whereas Computer Hardware Engineers work on creating and testing physical components. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive in Computer Architecture, and why are they important?

To thrive in Computer Architecture, you need a solid background in computer engineering or computer science, with expertise in digital logic design, processor organization, and systems-level integration. Familiarity with hardware description languages (such as VHDL or Verilog), simulation tools, and industry-standard architectures (like x86, ARM, or RISC-V) is commonly required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex hardware projects. These competencies ensure the development of efficient, reliable, and innovative computing systems that meet performance and power requirements.

How much does a computer architect make?

A computer architect typically earns a median annual salary of around $120,000, with salaries varying based on experience, education, and location. Professionals in this role often have strong skills in hardware design, systems architecture, and may hold certifications such as IEEE or Cisco. Entry-level positions may start lower, while experienced architects can earn significantly more.

What is computer architecture?

Computer architecture refers to the design and organization of a computer's core components, including the central processing unit (CPU), memory systems, input/output controls, and data paths. It defines how these elements interact to execute instructions and perform tasks efficiently. Computer architects focus on optimizing performance, power consumption, and cost by making choices about hardware structure and instruction sets. Understanding computer architecture is crucial for developing faster, more reliable, and energy-efficient computing systems.

What are some common challenges faced by professionals working in computer architecture roles?

Professionals in computer architecture often encounter challenges such as balancing performance improvements with power efficiency and cost constraints. They must stay up-to-date with rapidly evolving technologies and address compatibility issues when integrating new hardware or optimizing existing systems. Collaboration is crucial, as computer architects frequently work with software engineers, hardware designers, and verification teams to ensure cohesive system design and functionality. Managing tight project deadlines and complex system requirements can also be demanding, but these challenges foster continuous learning and innovation within the field.

What can you do with computer architecture?

A computer architecture professional designs, analyzes, and optimizes computer systems, including processors, memory, and input/output devices. They work on improving performance, efficiency, and scalability of hardware components, often using tools like simulation software and hardware description languages. This role requires knowledge of digital logic, system design, and programming skills, and may involve collaboration with software developers and hardware engineers.

Will architects get replaced by AI?

Computer architecture involves designing and optimizing computer systems, a field that requires specialized knowledge and problem-solving skills. While AI can assist in tasks like simulation and optimization, it is unlikely to fully replace computer architects, as human expertise is essential for complex system design and decision-making.
What cities in Texas are hiring for Computer Architecture jobs? Cities in Texas with the most Computer Architecture job openings:

Computer Engineering

Alignerr

Dallas, TX • Remote

$35 - $60/hr

Other

Posted 9 days ago


Job description

Computer Engineering - AI Data Trainer
  • Location: Remote
About the job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
You'll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems-documenting every failure mode so we can harden model reasoning.
Organization
: Alignerr
Position
: Computer Engineering - AI Data Trainer
Type
: Hourly Contract
Compensation
: $35-$60 /hour
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do:
  • Develop Complex Problems: Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.
  • Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
  • Refine Reasoning: Identify logical fallacies in AI reasoning-such as race conditions, memory leaks, or improper timing constraints-and provide structured feedback to improve the model's "thinking" process.
Requirements:
  • Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
  • Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
  • Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
  • No AI experience required
Preferred
:
  • Prior experience with data annotation, data quality, or evaluation systems
  • Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Why Join Us:
  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they're trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 15-20 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.