Role Overview
Skhynixamerica is hiring a mid-level AI System Engineer. This is a full-time role in San Jose. Part of Skhynixamerica's Mobile hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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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.
About Skhynixamerica
Skhynixamerica
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Frequently Asked Questions
How do I apply for the AI System Engineer position at Skhynixamerica?
Use the Apply button above to submit your application directly to Skhynixamerica. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the AI System Engineer position at Skhynixamerica located?
This position is based in San Jose. Skhynixamerica has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a AI System Engineer at Skhynixamerica earn?
Skhynixamerica has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the AI System Engineer role at Skhynixamerica posted?
This role was posted on June 23, 2026 (16 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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