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Cpu Architecture Intern Jobs (NOW HIRING)

... architect, build and maintain our world-class trading platform From optimizing our core trading ... Any programming close to the metal with CPU, GPU, microprocessors, etc. * Linux kernel and driver ...

... architect, build and maintain our world-class trading platform From optimizing our core trading ... Any programming close to the metal with CPU, GPU, microprocessors, etc. * Linux kernel and driver ...

... architect, build and maintain our world-class trading platform From optimizing our core trading ... Any programming close to the metal with CPU, GPU, microprocessors, etc. * Linux kernel and driver ...

Design and build a correlated timeline view visualizing CPU API calls, driver submissions, PCIe ... Solid understanding of computer architecture, including CPUs, GPUs or AI accelerators, memory ...

Design and build a correlated timeline view visualizing CPU API calls, driver submissions, PCIe ... Solid understanding of computer architecture, including CPUs, GPUs or AI accelerators, memory ...

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Cpu Architecture Intern information

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$20.5K

$77.5K

$191K

How much do cpu architecture intern jobs pay per year?

As of Aug 16, 2026, the average yearly pay for cpu architecture intern in the United States is $77,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What does a CPU Architecture Intern do?

A CPU Architecture Intern assists in the design, analysis, and optimization of central processing unit (CPU) architectures. Their responsibilities often include working with senior engineers to evaluate processor performance, develop simulation models, and test new architectural features. They may also help analyze workloads, contribute to documentation, and support research on next-generation CPU technologies. This role provides hands-on experience in computer hardware design and exposes interns to the fundamentals of microarchitecture and system performance.

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

To thrive as a CPU Architecture Intern, you need a solid background in computer engineering or computer science, with knowledge of computer architecture, digital logic, and microprocessor design. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools, and performance analysis software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex technical problems. These skills are crucial for contributing to innovative CPU designs and ensuring efficient, high-performance solutions in a competitive tech environment.

What is the difference between Cpu Architecture Intern vs Cpu Design Engineer?

AspectCpu Architecture InternCpu Design Engineer
CredentialsTypically pursuing or holding a degree in Computer Engineering, Electrical Engineering, or related fieldsLikewise, requires a degree in Computer/Electrical Engineering, often with additional certifications or experience
Work EnvironmentInternship setting, assisting in research, testing, and documentation within R&D teamsFull-time engineering environment focused on designing, testing, and implementing CPU architectures
Industry UsageUsed in tech companies, semiconductor firms, and research labs for training and developmentEmployed in similar settings but with responsibilities for actual architecture development and optimization

The main difference is that Cpu Architecture Interns are in training roles focusing on learning and supporting architecture projects, while Cpu Design Engineers are responsible for creating and refining CPU architectures. Interns gain experience and mentorship, whereas engineers handle the core design tasks.

What types of projects and tasks can a CPU Architecture Intern expect to work on during their internship?

As a CPU Architecture Intern, you can expect to participate in a range of projects that involve performance analysis, microarchitecture feature exploration, and simulation of processor components. Your daily work may include running and analyzing benchmark tests, developing models for new features, and collaborating with experienced architects to evaluate trade-offs in design decisions. Interns often work closely with cross-functional teams, such as hardware design, verification, and software engineers, gaining exposure to the complete CPU development lifecycle. This hands-on experience helps build a strong foundation for future roles in computer architecture and related fields.
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What cities are hiring for Cpu Architecture Intern jobs?

Cities with the most Cpu Architecture Intern job openings:

What states have the most Cpu Architecture Intern jobs?

States with the most job openings for Cpu Architecture Intern jobs include:

Infographic showing various Cpu Architecture Intern job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $77,548 per year, or $37.3 per hour.

AI Infra Onboard Performance Intern

XPENG

Santa Clara, CA • On-site

Internship

Re-posted 12 days ago


Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
Key Responsibilities
  • Design and optimize software for deploying large-scale AI models in production vehicles.
  • Profile and improve inference performance across compute, memory, and I/O systems.
  • Reduce latency and improve power efficiency on embedded automotive platforms.
  • Deliver production-ready optimizations that scale reliably across the vehicle fleet.
Basic Qualifications
  • Master's or PhD in CS/CE/EE or equivalent, with relevant industry or research experience.
  • Strong expertise in C++ and Python, including performance-sensitive, production-quality code.
  • In-depth understanding of computer architecture and high-performance computing (memory hierarchy, parallelism, vectorization, scheduling).
  • Proven experience in application performance analysis and optimization, using profiling tools to diagnose and resolve bottlenecks.

Preferred Qualifications
  • Experience writing and optimizing CPU or CUDA kernels.
  • Experience developing performance tooling and instrumentation (e.g., eBPF, perf, custom tracing/profiling frameworks) for production or embedded systems.
  • Familiarity with embedded or automotive compute platforms (e.g., NVIDIA Orin, Drive) and their power/thermal constraints.
  • Previous experience in the autonomous driving or robotics industry.
  • Effective at solving complex problems collaboratively within larger cross-functional teams.

What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.