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Hardware Design Engineer Jobs in Redmond, WA (NOW HIRING)

System One

Mechanical Design Engineer

Bellevue, WA · On-site

$52 - $85/hr

Mechanical Design Engineer Location: Bellevue, Washington Type: Contract Compensation: $52 - $85 ... Demonstrated ownership of hardware design and delivery * High attention to detail and commitment to ...

Actalent

Hardware Engineer

Everett, WA · On-site

$136K - $180K/yr

Hardware Engineer The Hardware Engineer designs, tests, and validates board-level hardware for ... This role focuses on digital hardware design, high-speed Ethernet technologies, and system-level ...

Actalent

Hardware Engineer

Everett, WA

$136K - $180K/yr

Hardware Engineer The Hardware Engineer designs, tests, and validates board-level hardware for ... This role focuses on digital hardware design, high-speed Ethernet technologies, and system-level ...

Actalent

Hardware Engineer

Everett, WA

$136K - $180K/yr

Hardware Engineer This Hardware Engineer role focuses on board-level design and testing of advanced ... Perform design simulations, analyze results, and refine designs to ensure performance, reliability ...

Actalent

Digital Design Engineer

Seattle, WA

$60 - $75/hr

Digital Design Engineer This role focuses on the end-to-end design and development of complex ... Debug digital hardware in the lab using high-speed test equipment and a structured, methodical ...

Actalent

Digital Design Engineer

Seattle, WA

$60 - $75/hr

Digital Design Engineer This role focuses on the end-to-end design and development of complex ... Debug digital hardware in the lab using high-speed test equipment and a structured, methodical ...

Actalent

Sr. Electrical Design Engineer III

Kirkland, WA · Hybrid

$118K - $159K/yr

The position is ideal for an electrical engineer who enjoys hands-on digital hardware development, complex PCB design, and collaborative work with layout, firmware, and software teams.

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Hardware Design Engineer information

See Redmond, WA salary details

$77.8K

$165.2K

$240.8K

How much do hardware design engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for hardware design engineer in Redmond, WA is $165,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,400.00 and $194,900.00 per year, depending on experience, location, and employer.

What is a hardware design engineer?

Hardware Design Engineers are professionals who design, develop, and test physical components and systems for electronic devices. They work on creating circuit boards, microprocessors, memory devices, and other hardware used in computers, smartphones, and various electronic products. These engineers use specialized software tools to plan and simulate hardware designs before building and evaluating prototypes. Their work is essential for bringing new technology products to market and improving existing devices.

What does a hardware design engineer do?

A hardware design engineer uses their advanced knowledge of computer systems and schematics to develop and build useful hardware. Their duties include identifying hardware needs, building new hardware pieces, and testing and analyzing the results to ensure the system works as desired. Hardware design engineers must have in-depth knowledge of computer components and processes to understand internet-ready computer systems. They must maintain their knowledge of the latest software and networking needs so they can design hardware that interacts with the internet appropriately. Hardware design engineers work in teams with software developers to ensure that all components are capable of working together.

What are the key skills and qualifications needed to thrive as a hardware design engineer, and why are they important?

To excel as a Hardware Design Engineer, you generally need a strong background in electrical engineering, circuit design, and proficiency with schematic capture and PCB layout, often supported by a relevant degree. Familiarity with industry-standard tools like Altium Designer, Cadence, or OrCAD, and knowledge of simulation and testing equipment are typically required. Attention to detail, problem-solving abilities, and effective teamwork are crucial soft skills that help you innovate and troubleshoot efficiently. These skills and qualities ensure reliable hardware development, seamless collaboration, and successful project outcomes in a competitive tech industry.

What are some typical challenges hardware design engineers face when collaborating with cross-functional teams?

Hardware Design Engineers often work closely with firmware, software, and manufacturing teams to ensure seamless integration of their designs. A common challenge is aligning the hardware specifications with changing software requirements or manufacturing constraints, which may require iterative design adjustments. Effective communication and documentation are essential to avoid misunderstandings and ensure that all teams are synchronized throughout the product development cycle. Building strong relationships across disciplines can greatly enhance the efficiency and success of collaborative projects.

What is the difference between Hardware Design Engineer vs Electronics Engineer?

AspectHardware Design EngineerElectronics Engineer
Primary FocusDesigning and developing hardware components and systemsDesigning, testing, and troubleshooting electronic circuits and devices
Required SkillsCircuit design, PCB layout, hardware testingCircuit analysis, component selection, electronic testing
Work EnvironmentHardware labs, manufacturing facilities, R&D departmentsElectronics labs, research centers, manufacturing
Common CertificationsIEEE certifications, PCB design certificationsCertified Electronics Technician (CET), IEEE certifications

While both roles involve working with electronic systems, Hardware Design Engineers focus on creating physical hardware components like circuit boards, whereas Electronics Engineers often work on electronic circuit design, testing, and troubleshooting. Both roles are essential in electronics development and often collaborate in product development cycles.

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The most popular types of Hardware Design Engineer jobs in Redmond, WA are:

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For Hardware Design Engineer jobs in Redmond, WA, the most frequently searched job titles are:

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The top searched job categories for Hardware Design Engineer jobs in Redmond, WA are:

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Cities near Redmond, WA with the most Hardware Design Engineer job openings:

Hardware Design Engineer jobs near you
Infographic showing various Hardware Design Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $165,205 per year, or $79.4 per hour.

Sr. Silicon Design Engineer: Hardware-Software Co-Design

Advanced Micro Devices, Inc

Bellevue, WA • On-site

$124K/yr

Full-time

Re-posted 18 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 159 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:
The AMD AI Group is looking for a Senior Silicon Design Engineer to co-design the hardware-software interface for AMD Instinct™ GPUs. You will work with hardware architects to model and evaluate how GPU microarchitecture, AI frameworks, and the ROCm™ software stack interact, using that analysis to drive improvements in both performance and energy efficiency across the AI compute stack.
THE PERSON:
You have excellent communication and presentation skills, demonstrated through technical publications, presentations, trainings, executive briefings, etc. You are highly adept at collaboration among top-thinkers and engineers alike, ready to help elevate the knowledge and skills of the team around you.
KEY RESPONSIBILITIES:
Your day-to-day: build performance and power models that connect architectural decisions to real workload behavior. Evaluate proposed hardware features and software API designs against AI training and inference targets. Write and optimize GPU kernels and compiler passes that exploit microarchitectural characteristics. Work across the stack: the Linux kernel DRM/GEM layer, the ROCm™ runtime, the IREE compiler, and AI frameworks and DSLs like PyTorch and Triton.
Hardware-Software Co-Design & Performance
  • Leverage detailed performance models that bridge GPU microarchitecture and software execution, including instruction execution, memory hierarchy behavior, networking, and compute-memory overlap. You will use those models to drive both software optimization and hardware design feedback.
  • Analyze and characterize AI workloads (training and inference) against AMD Instinct™ microarchitecture to identify performance bottlenecks, inform silicon roadmap decisions, and validate that architectural features deliver expected real-world speedups.
  • Collaborate directly with AMD GPU hardware and firmware teams to evaluate proposed hardware features, providing software-grounded analysis of how changes to the memory subsystem, cache coherence protocols, or execution units affect workloads that matter.
  • Own the feedback loop between workload characterization and hardware design: build the methodology, tooling, and benchmarks that make this loop fast and evidence-driven across Instinct generations.

Compiler & Runtime Infrastructure
  • Contribute to the IREE compiler and ROCm™ stack, with focus on backend optimizations, runtime API extensions, and firmware command packet design that target AMD GPU microarchitecture.
  • Design and optimize compute runtime paths including AI framework dispatch, data movement, and pipelining, minimizing overhead and maximizing hardware utilization for latency-sensitive and throughput-critical workloads.
  • Work at the Linux kernel level on GPU compute infrastructure to improve asynchronous execution and reduce latency.

Cross-Cutting
  • Contribute to the open ROCm™ ecosystem, across the stack, in ways that raises the bar for the entire AMD AI developer experience.
  • Develop reproducible benchmarks and performance regression infrastructure that keeps the full stack honest across compiler, runtime, and driver changes.
  • Represent the software perspective in silicon architecture reviews and represent hardware realities to the software and framework teams. Be the person who holds both models in their head at once.
  • Collaborate with AMD architecture teams to provide software feedback on next-generation Instinct™ GPU designs for both training and inference workloads.

PREFERRED EXPERIENCE:
  • Industry experience working at the boundary of GPU compute hardware and AI systems software.
  • Strong computer architecture foundation: memory consistency and coherence models, GPU microarchitecture, pipelining, and the ability to reason precisely about what hardware is doing on a given workload.
  • Demonstrated performance modeling skills and the ability to build analytical or simulation-based models that predict real hardware behavior and use them to make engineering decisions.
  • Proficiency in C and C++ in system-level contexts, and Python for tooling, analysis, and framework-level work.
  • Experience with GPU programming via CUDA and/or HIP, including writing and optimizing compute kernels beyond library calls.
  • Familiarity with Linux kernel internals relevant to GPU compute: DRM/GEM subsystem, kernel-mode driver interfaces, memory management, and userspace-kernel interaction patterns.
  • Experience with compute runtimes and the full dispatch path from framework-level operations to GPU execution.
  • Experience with AI framework internals including PyTorch dispatcher, Triton compiler, or equivalent depth in how frameworks lower operations to hardware.
  • Direct experience with AMD Instinct GPU architectures (MI300X, MI350X, MI355X) and the ROCm™ stack.
  • Working knowledge of compiler infrastructure such as LLVM/MLIR-based flows, backend code generation, or related optimization passes. Experience with IREE is a strong plus.
  • Familiarity with modern AI model architecture: quantization techniques, KV cache, attention mechanisms and their variants, mixture-of-experts routing, or emerging state space models and an understanding of what these architectures demand from hardware.
  • Experience with performance analysis tools for GPUs like profilers, trace viewers, hardware counters and building custom tooling on top of them.
  • Publications or patents in HPC, ML systems, or GPU kernel optimization.

PREFERRED ACADEMIC CREDENTIALS:
  • Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field.

This role is not eligible for visa sponsorship.
#LI-G11
#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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