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Entry Level Computer Hardware Engineer Jobs in Milpitas, CA

Apple

Hardware Systems Integration Engineer

Cupertino, CA · On-site

$152K - $201K/yr

Schematic creation and layout responsibility Bringup and debug hardware validation Prototyping proof of concepts Minimum Qualifications BS in electrical engineering or computer engineering required ...

Meta

Hardware Electrical Engineer

Sunnyvale, CA

$118K/yr

As a Hardware Electrical Engineer at Meta, you will design, develop, and integrate electrical ... MS or PHD in Electrical Engineering or Computer Engineering * Experience with high speed signaling ...

Meta

Hardware Electrical Engineer

Sunnyvale, CA · On-site

$118K - $170K/yr

As a Hardware Electrical Engineer at Meta, you will design, develop, and integrate electrical ... or Computer Engineering • Experience with high speed signaling over DP, MIPI, HDMI, and USB SS ...

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All JobsComputer Hardware Engineer JobsEntry Level Computer Hardware Engineer JobsEntry Level Computer Hardware Engineer Jobs in Milpitas, CA

Entry Level Computer Hardware Engineer information

See Milpitas, CA salary details

$127.6K

$169.6K

$208K

How much do entry level computer hardware engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for entry level computer hardware engineer in Milpitas, CA is $169,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,800.00 and $199,300.00 per year, depending on experience, location, and employer.

What is an entry level computer hardware engineer?

An Entry Level Computer Hardware Engineer designs, tests, and develops computer hardware components such as processors, circuit boards, memory devices, and peripherals. They work under the guidance of senior engineers to improve system performance and troubleshoot hardware issues. Their responsibilities may also include collaborating with software engineers to ensure compatibility between hardware and software. Typically, they are employed by technology companies, hardware manufacturers, or research institutions. This role requires a background in electrical or computer engineering and proficiency in hardware design tools.

What are typical projects or tasks for an entry level computer hardware engineer?

Entry-level computer hardware engineers are often involved in tasks such as assisting in the design and testing of circuit boards, performing system integration, and supporting senior engineers with troubleshooting and validation. They may also be responsible for documenting test results, updating schematics, and conducting research on new components or technologies. Team members frequently work together to prototype hardware solutions, address technical challenges, and ensure products meet performance and safety standards. This collaborative environment provides valuable on-the-job learning and exposure to the full hardware development lifecycle.

What are the key skills and qualifications needed to thrive as an entry level computer hardware engineer?

To thrive as an Entry Level Computer Hardware Engineer, you need a solid understanding of digital and analog circuits, computer architecture, and a bachelor's degree in electrical or computer engineering. Familiarity with hardware design tools like Verilog/VHDL, PCB layout software, and proficiency in using oscilloscopes or logic analyzers are often required, along with relevant internships or lab experience. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help individuals excel in this role. These competencies ensure you can contribute to the design, testing, and troubleshooting of hardware systems while collaborating smoothly with multidisciplinary teams.

What are popular job titles related to Entry Level Computer Hardware Engineer jobs in Milpitas, CA? For Entry Level Computer Hardware Engineer jobs in Milpitas, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Hardware Engineer jobs in Milpitas, CA look for? The top searched job categories for Entry Level Computer Hardware Engineer jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Entry Level Computer Hardware Engineer jobs? Cities near Milpitas, CA with the most Entry Level Computer Hardware Engineer job openings:
Entry Level Computer Hardware Engineer jobs near you
Infographic showing various Entry Level Computer Hardware Engineer job openings in Milpitas, CA as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $169,561 per year, or $81.5 per hour.

Applied AI Engineer, Top Hardware Priorities

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

$178K/yr

Full-time

Posted 29 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 156 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE
We are hiring Applied AI Engineers to work directly with hardware and software engineering teams on high-priority AI-for-engineering efforts. This role turns difficult engineering workflows into AI-assisted systems that generate candidates, validate correctness, measure quality, and help engineers move faster on real product problems.
You will work across hardware-adjacent domains such as design optimization, verification, simulation, firmware, performance debugging, routing, issue triage, and compute library optimization. The work is practical, measured, and deeply collaborative with domain experts.
THE PERSON
You are a builder who likes ambiguous, high-impact engineering problems. You can sit with domain experts, understand the real workflow, identify what can be measured, build the tool or agent loop, and iterate until it saves engineering time or improves a concrete metric. You value correctness, validation, and workflow fit as much as model capability.
KEY RESPONSIBILITIES
  • Build applied AI workflows for top hardware and software engineering priorities, including optimization, verification, debugging, simulation, and automation workflows.
  • Convert manual engineering processes into structured tasks with inputs, candidate generation, validation, scoring, logging, and reproducible comparisons.
  • Partner with domain owners to define success metrics such as correctness, performance, resource usage, quality, latency, coverage, engineer time saved, or issue classification accuracy.
  • Develop tools that let AI agents use compilers, simulators, formal checks, profilers, benchmark harnesses, ticket systems, and engineering knowledge sources.
  • Build human-in-the-loop workflows for tasks where annotated data, expert judgment, or subjective triage is required.
  • Improve model and agent performance through better prompts, tool interfaces, retrieval, evaluation datasets, graders, and structured feedback.
  • Work with research and infrastructure teams to generalize repeated patterns into reusable platforms, harnesses, dashboards, and data assets.
  • Communicate progress through measurable outcomes, demos, concise technical writeups, and clear stakeholder updates.

TECHNICAL FOCUS AREAS
  • AI-assisted hardware design and software optimization workflows.
  • Automated validation using tests, benchmarks, formal checks, simulators, and domain-specific graders.
  • Agentic systems for code generation, debugging, root-cause analysis, issue triage, and engineering workflow automation.
  • Evaluation design for tasks where ground truth may be sparse, expensive, or partially subjective.
  • Tooling that connects LLMs and agents to real engineering systems while preserving reliability and auditability.
  • Collaboration with domain experts to turn expert workflows into repeatable AI-assisted processes.

PREFERRED QUALIFICATIONS
  • Strong software engineering experience in Python and at least one systems language such as C++, C, HIP, CUDA, or Rust.
  • Experience building applied AI, ML, agentic, automation, or developer tooling systems for technical users.
  • Ability to work with complex engineering tools, logs, tests, benchmark harnesses, and validation workflows.
  • Strong debugging and root-cause analysis skills across software systems, AI workflows, or hardware-adjacent tooling.
  • Excellent collaboration and communication skills with domain experts, engineering leads, research teams, and program stakeholders.

PREFERRED EXPERIENCE
  • Experience with hardware design or verification workflows, including RTL, Verilog/SystemVerilog, simulation, formal verification, EDA tools, timing analysis, or power/performance/area tradeoffs.
  • Experience with GPU/CPU performance engineering, compiler tooling, profilers, kernel optimization, ROCm/HIP, CUDA, or benchmarking.
  • Experience designing evaluation datasets, graders, dashboards, leaderboards, or experiment tracking systems.
  • Familiarity with LLM agents, tool use, retrieval, LLM-as-judge workflows, RL, or post-training methods.
  • Experience working with internal engineering customers, forward-deployed teams, or cross-functional product engineering programs.

EDUCATION
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related field, or equivalent practical experience. Master's preferred; PhD is a plus for candidates with relevant AI, systems, EDA, or hardware/software co-design experience.
LOCATION: Santa Clara, CA
#LI-AG2
#LI-Hybrid
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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