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Nand Flash System Engineer Jobs (NOW HIRING)

AI System Engineer

San Jose, CA · On-site

$117K - $160K/yr

AI System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK ... As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile ...

AI System Engineer

San Jose, CA · On-site

$117K - $160K/yr

AI System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK ... As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile ...

You'll integrate statistical insight with hardware quality and reliability data to optimize flash ... Deep understanding of NAND system architecture for embedded or SSD designs and competitor ...

You'll integrate statistical insight with hardware quality and reliability data to optimize flash ... Deep understanding of NAND system architecture for embedded or SSD designs and competitor ...

Architect, design, and verify logic and circuit blocks for 3D NAND flash memory components * Define ... Partner with product engineering and technology development teams to define Read-Window-Budget (RWB ...

Senior Design Engineer

San Jose, CA · On-site

$116K - $246K/yr

This requires indepth familiarity with NAND Flash read, program and erase algorithms, and how ... system and algorithm teams to define viable compute primitives. * Work with and support groups such ...

Senior Design Engineer

San Jose, CA · On-site

$116K - $246K/yr

This requires in-depth familiarity with NAND Flash read, program and erase algorithms, and how ... evaluate system-level value, cost, quality, reliability, and time-to-market impacts. Minimum ...

NAND Q&R Engineer

Cupertino, CA · On-site

$147K - $272K/yr

You'll integrate statistical insight with hardware quality and reliability data to optimize flash ... Deep understanding of NAND system architecture for embedded or SSD designs and competitor ...

The Non-Volatile Engineering NAND Flash build team at Micron is dedicated to developing world-class memory solutions. We are committed to pushing the boundaries of technology and innovation, ensuring ...

Senior Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

Familiar with Buildroot/Yocto, NAND Flash file systems, and low-level hardware debugging using lab tools and in-circuit emulators. BS in Computer Science, Computer Engineering, or related field (MS ...

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Nand Flash System Engineer information

See salary details

$49.5K

$118.6K

$173.5K

How much do nand flash system engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for nand flash system engineer in the United States is $118,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a NAND Flash System Engineer, and why are they important?

To thrive as a NAND Flash System Engineer, you need a strong background in electrical engineering, digital system design, and solid understanding of NAND flash memory technology, typically supported by a relevant degree. Expertise with hardware description languages (like Verilog/VHDL), simulation tools, and familiarity with memory interface protocols such as NVMe or UFS is essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and debugging complex system issues. These skills ensure reliable system integration, efficient troubleshooting, and the delivery of robust NAND flash solutions in high-performance storage applications.

What are some common challenges a NAND Flash System Engineer might face when optimizing storage performance?

A NAND Flash System Engineer often encounters challenges such as managing wear leveling, minimizing latency, and dealing with the limitations of flash endurance. Balancing these factors while meeting high throughput and reliability requirements can be complex, especially as flash memory technology evolves. Engineers frequently collaborate with firmware developers and hardware teams to implement robust error correction and efficient memory management algorithms, ensuring optimal system performance and longevity.

What does a NAND Flash System Engineer do?

A NAND Flash System Engineer is responsible for designing, developing, and optimizing systems that use NAND flash memory, which is a type of non-volatile storage widely used in devices like SSDs, smartphones, and memory cards. They work on hardware and firmware integration, error correction algorithms, and performance tuning to ensure reliable and efficient data storage. Their role often involves collaborating with cross-functional teams to troubleshoot issues, improve endurance, and keep up with evolving memory technologies.

What is the difference between Nand Flash System Engineer vs NAND Flash Design Engineer?

AspectNand Flash System EngineerNAND Flash Design Engineer
Primary FocusSystem-level integration, firmware, and performance optimization of NAND flash storage systemsDesign and development of NAND flash memory chips at the circuit and architecture level
Required SkillsEmbedded systems, firmware development, system testing, troubleshootingSemiconductor design, circuit analysis, VLSI, memory architecture
Work EnvironmentElectronics manufacturing companies, storage solution providersSemiconductor foundries, chip design companies
CertificationsRelevant engineering degrees, embedded systems certificationsVLSI design certifications, semiconductor engineering degrees

The Nand Flash System Engineer focuses on integrating NAND flash memory into storage systems, optimizing performance, and firmware development. In contrast, the NAND Flash Design Engineer is involved in designing the actual NAND flash chips at the hardware level. Both roles require strong technical skills but differ in their scope—system versus chip design.

Infographic showing various Nand Flash System Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 3% As Needed, 61% Full Time, 34% Part Time, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $118,589 per year, or $57 per hour.
AI System Engineer

AI System Engineer

SK hynix America

San Jose, CA • On-site

$117K - $160K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

Job Title: AI System Engineer
Office Location: San Jose, CA
Job Type: Full-Time
Work Model: Onsite
About SK hynix America
At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.
Job Summary:
  • We are seeking passionate, self-motivated, and creative engineers to join our AI Memory Solution team, covering AI HW/SW co-design research, system modeling, and performance analysis of next-generation AI memory and storage system architecture. We are responsible for delivering cutting-edge, custom SoC/memory interface design for memory and storage applications that can perform complex, high-performance, and low power computation most efficiently.
  • As a AI system engineer with a focus on solution hardware development, you will be responsible for designing, developing, and optimizing hardware architecture for our next-generation AI memory solutions. You will work closely with our system software and hardware teams to ensure seamless integration and optimal performance of our energy-efficient AI computing platform.

Responsibilities:
  • Design and develop next-generation memory solution architecture and hardware prototypes for energy-efficient AI/ML computing infrastructure.
  • Responsible for logic design/Register-Transfer Level (RTL) entry, design quality (LINT, CDC, RDC, power, etc.), and timing closure of high-performance digital Intellectual Property (IP)
  • Collaborate with system software engineers to ensure HW/SW co-optimization.
  • Deliver memory subsystem and IP designs, including microarchitecture specification, RTL logic design, verification, and FPGA prototypes
  • Develop and maintain hardware specifications, technical documentation, and test plans.
  • Participate in technical discussions and provide input on hardware system design and architecture with industry ecosystem partners
  • Stay up-to-date with industry trends and emerging technologies in AI, memory systems, and hardware architecture

Qualification:
  • Ph.D in Electrical and Computer Engineering or MS with 4+ years of experience in hardware design, with a focus on SoCs and memory subsystems.
  • Proven track record of expertise in digital design, including microarchitecture specification development, system modeling, RTL logic design, synthesis, timing closure and power-performance-area (PPA) analysis.
  • Strong working knowledge and experience with FPGA development environment
  • Strong communication and collaboration skills, with the ability to work with cross-functional teams.
  • Familiarity with memory and interface technologies, such as DRAM, HBM, NVMe, CXL, and PCIe is a plus
  • Strong knowledge in AI software optimization techniques for CPU, GPU, NPU architecture is big plus.

Benefits:
  • Top Tier health insurance at no employee cost
  • Paid day offs: PTO + Company Holidays + Happy Fridays
  • Paid Parental Leave Program
  • 401k Matching
  • Educational reimbursement up to $10,000 per year for job-related higher education degree
  • Donation Matching and volunteering opportunities
  • Corporate discount programs
  • Free Breakfast/Lunch/Dinner provided to employees

Equal Employment Opportunity:
SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Compensation:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process.
Pay Range
$155,000-$215,000 USD

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About SK Hynix America

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

201 - 500 Employees

Headquarters location

San Jose, CA, US

Year founded

1983