Staff Engineer, AI Microarchitecture at Samsung Austin Semiconductor

San Jose, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial Intelligence, TechnologyIndustries

Requirements

Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD 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
Inclusive, adapting style to the situation and diverse global norms
Avid learner, approaching challenges with curiosity and resilience, seeking data to build understanding
Collaborative, building relationships, humbly offering support and openly welcoming approaches
Innovative and creative, proactively exploring new ideas and adapting quickly to change

Responsibilities

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

Skills

Key technologies and capabilities for this role

AI MicroarchitectureAI/MLHardware DesignMemory SystemsComputing ArchitecturesInterconnectsSystem-Level DesignPerformance OptimizationEnergy EfficiencyScalable Platforms

Questions & Answers

Common questions about this position

Is this role remote or onsite?

The role requires daily onsite presence at the San Jose, CA office in alignment with the company's Flexible Work policy.

What technical skills are required for this position?

The role requires developing IP for machine learning accelerators using Verilog, System Verilog, and HLS, along with skills in optimization for performance, power, and area, verification collaboration, and troubleshooting hardware issues.

What is the salary range for this Staff Engineer role?

This information is not specified in the job description.

What is the team culture like at the AGI Computing Lab?

The team is dedicated and passionate, collaborating closely with hardware and software engineers to solve complex AI/ML challenges, conduct research in emerging technologies, and revolutionize AI/ML deployment in a sustainable manner.

What makes a strong candidate for this Staff Engineer position?

Strong candidates will have expertise in Verilog, System Verilog, and HLS for machine learning accelerators, experience optimizing for performance, power, and area, and the ability to collaborate on verification, make design trade-offs, and stay current with AI/hardware advancements.

Samsung Austin Semiconductor

Develops advanced semiconductor technology solutions

About Samsung Austin Semiconductor

Samsung Semiconductor specializes in cutting-edge semiconductor technologies, offering ultra-high resolution sensors, ultra-fine pixel technology, gaming storage, automotive memory solutions, AI advancements, and EUV advanced processing, providing transformative solutions for device manufacturers.

Laxmi Sagar Layout, Mahadevapura, Bengaluru, Karnataka 560048, IndiaHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

Hardware, Consumer SoftwareIndustries

5,001-10,000Employees