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Computer Architecture Phd Jobs (NOW HIRING)

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.

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.

... MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field. • Deep understanding of computer architecture, memory hierarchies, DMA ...

A broad perspective across the field of computer architecture and depth in the area of power ... MS/PhD in Electrical Engineering, Computer Science, or related field * Experience with hardware ...

A broad perspective across the field of computer architecture and depth in the area of power ... MS/PhD in Electrical Engineering, Computer Science, or related field * Experience with hardware ...

A broad perspective across the field of computer architecture and depth in the area of power ... MS/PhD in Electrical Engineering, Computer Science, or related field * Experience with hardware ...

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Computer Architecture Phd information

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$159.5K

$175K

$189K

How much do computer architecture phd jobs pay per year?

As of Jun 11, 2026, the average yearly pay for computer architecture phd in the United States is $175,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,500.00 and $182,500.00 per year, depending on experience, location, and employer.

What is a Computer Architecture PhD?

A Computer Architecture PhD is an advanced academic degree focused on the design, analysis, and optimization of computer systems at the hardware and low-level software interface. This program typically involves original research on topics such as processor design, memory systems, parallel computing, or emerging hardware technologies. Graduates are trained to advance the state of the art in computer systems, often working in academia, research labs, or leading technology companies. The degree usually takes several years and culminates in a dissertation that contributes new knowledge to the field.

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

To thrive as a Computer Architecture PhD, you need deep expertise in computer systems, processor design, and advanced knowledge of hardware-software interactions, typically supported by a doctoral degree in computer engineering or a related field. Familiarity with hardware description languages (like VHDL or Verilog), simulation tools, and experience with research publication are critical technical requirements. Exceptional problem-solving skills, analytical thinking, and effective communication are important soft skills for collaborating on research and conveying complex ideas. These abilities are vital to drive innovation, publish impactful research, and contribute to advancements in computing technologies.

What are the typical research and collaboration opportunities available for Computer Architecture PhD candidates during their studies?

Computer Architecture PhD candidates often work on cutting-edge research projects, both independently and as part of interdisciplinary teams. They frequently collaborate with faculty, industry partners, and other graduate students, contributing to conferences and publishing papers. Many programs offer opportunities to participate in joint research with hardware or semiconductor companies, internships, and cross-departmental initiatives. These collaborations not only deepen technical expertise but also help build a strong professional network, which is valuable for future academic or industry careers.
Infographic showing various Computer Architecture Phd job openings in the United States as of June 2026, with employment types broken down into 2% Internship, 10% As Needed, 78% Full Time, 5% Part Time, and 5% Temporary. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $175,000 per year, or $84.1 per hour.

Member of Technical Staff, ASIC Architecture

Netpreme

Santa Clara, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

About the Role
We are seeking an ASIC Architect to help define the architecture and microarchitecture of our silicon product. This role is onsite at our Santa Clara, CA or Boston, MA office.
Responsibilities
  • Performance modeling for GPU memory subsystems and memory-semantics interconnects
  • Architecting data and control planes for high-speed data movement
  • Designing and simulating I/O-heavy SoC architectures
  • Own SoC and system architecture specs from inception through high-volume production
  • Partner with silicon and software teams to ensure implementation aligns with architecture specs

Qualifications
  • BS/MS or PhD in Electrical Engineering or Computer Science with 5+ years of relevant experience
  • Strong background in computer architecture with a focus on memory systems and memory-semantics interconnects
  • Strong understanding of scale-up memory fabric and protocols
  • Familiarity with GPU memory organization
  • Experience running detailed performance modeling for computing and/or data movement ASICs
  • Familiarity with state-of-the-art distributed ML algorithms

Preferred Qualifications
  • Experience architecting endpoints for memory-semantics interconnects: CXL, NVLink, UALink, RDMA
  • Experience building AI accelerators
  • Background in cloud virtualization and hardware security
  • Knowledge of ARM CHI / UCIe

Compensation & Benefits
  • Competitive salary commensurate with experience including base salary, performance-based bonus, and early stage equity grant
  • Comprehensive benefits including health, dental, vision, and life insurance
  • Well-equipped, sunny offices in Santa Clara, CA and Boston, MA
  • Relocation assistance and visa sponsorship
  • Perks include a daily lunch stipend, 401k match, and more
  • A collaborative, continuous-learning work environment with smart, dedicated colleagues engaged in developing the next generation of architecture for high-performance computing

The Opportunity
  • Impact: We are tackling a fundamental challenge at the infrastructure layer: unlocking greater AI capability while dramatically improving efficiency. The work we do here compounds across state-of-the-art AI models, systems, and real-world applications.
  • Timing: Joining now means real ownership of the company and meaningful influence over product direction and execution. You'll work from first principles, move quickly from insight to execution, and see your contributions directly reflected in what we build.
  • Culture: You'll work alongside a group of people who care deeply about rigor, clarity, and impact. We value thoughtful disagreement, fast learning, and intellectual fearlessness. This is a place where strong ideas shine, curiosity is encouraged, and growth is a daily practice.