Samsung Semiconductor-posted 3 months ago
$157,000 - $243,000/Yr
Full-time • Senior
San Jose, CA
5,001-10,000 employees

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

  • Develop IP for machine learning accelerators using Verilog, System Verilog and HLS
  • Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
  • Collaborate with Verification engineers to design and develop test plans
  • Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
  • Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
  • Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
  • Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
  • Complete other responsibilities as assigned.
  • Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
  • Strong background in microarchitecture and computer architecture
  • 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
  • Experience in designing Memory Controller, NOC, Interconnect IP
  • Experience in AI Accelerator integration with SOC
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Ability to work independently and as part of a team
  • You’re inclusive, adapting your style to the situation and diverse global norms of our people.
  • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
  • You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change.
  • Medical/Dental/Vision/401k
  • Charitable giving match and frequent opportunities to get involved in the community.
  • 4+ weeks of paid time off a year, plus holidays and sick leave.
  • Stipend for fertility care or adoption, medical travel support, and an errand service.
  • On-demand apps and paid therapy sessions for emotional wellness.
  • Onsite Café and gym, plus virtual classes for fitness.
  • Flexible work environment.
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