Sr. Staff Software Engineer – High Performance GPU Inference Systems
GroqSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, Consumer ElectronicsIndustries
Requirements
- Masters degree in Electrical, Computer Science, related Science or equivalent combination of education, training and experience
- 3+ years of relevant industry experience
- Strong background in GPU, or SIMD architectures
- Experience specifying Architecture and micro-architectures spec
- Implementing high-level functional and performance models
- Strong communication and collaboration skills, with experience working with cross-functional teams to drive technical solutions
- Deep expertise in GPU Architecture and micro architecture (Special Attribute)
- Experience with GPU APIs, OpenGL, OpenCL, Vulkan (Special Attribute)
- Proficiency in C/C++, SystemC (Special Attribute)
- Proficiency in scripting languages such as Python (Special Attribute)
- Relevant hands-on experience with developing bit accurate architectural functional and performance models (Special Attribute)
- Experience with hardware memory managements units, prefetching or memory subsystems (Special Attribute)
- Experience with Multi-core systems and memory coherency (Special Attribute)
- ML model optimization on GPU Architecture (Special Attribute)
Responsibilities
- Propose innovative GPU Architectural and microarchitectural features to boost PPA (Performance, Power and Area) on various targeted workloads in next generation SOCs
- Identify and deliver GPU subsystem architecture proposals for products in new and existing markets
- Evaluate architecture proposal benefits in collaboration with team of SoC Architects and communicate the results across related engineering audiences (SW, HW, Architecture, Leadership)
- Perform high-level performance modeling/simulation and analysis of GPU features, applications, benchmarks, and complex uses cases
- Deliver architecture/microarchitecture proposals and specifications to the design team and articulate them effectively across audiences ranging from hardware & software engineers to architecture community peers, and to technology leadership
- Collaborate with silicon bring-up and product teams
- Collaborate across teams to bring architecture proposals to fruition across the SOC, Driver, OS, System through detailed documentations
- Analyzing benchmarks, application workloads, and performance simulation results for architecture and microarchitecture optimizations
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for the SoC GPU Architect position?
This information is not specified in the job description.
Is this a remote position or what is the location requirement?
This information is not specified in the job description.
What are the required skills for this GPU Architect role?
Required skills include a Master's degree in Electrical, Computer Science or related field, 3+ years of relevant industry experience, strong background in GPU or SIMD architectures, experience specifying architecture and micro-architectures, implementing high-level models, and strong communication and collaboration skills.
What is the company culture or team environment like at Samsung Research America SOC Architecture Lab?
The lab collaborates with Samsung’s strategic SoC partners, Samsung MX headquarter team, and key R&D teams globally to innovate SoC architecture for Galaxy products, emphasizing teamwork across HW, SW, architecture, and leadership.
What makes a strong candidate for the SoC GPU Architect role?
Strong candidates have deep expertise in GPU architecture and microarchitecture, experience with GPU APIs like OpenGL, OpenCL, Vulkan, proficiency in C/C++, SystemC, Python, and hands-on experience with development tools.
Samsung Research America
Develops advanced technology in multiple domains
About Samsung Research America
Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.
665 Clyde Ave, Mountain View, CA 94043, USAHeadquarters
1988Year Founded
VENTURE_UNKNOWNCompany Stage
HardwareIndustries
501-1,000Employees
Benefits
Onsite Fitness Facility
Subsidized Meals
Coffee Barista Bar
Samsung University
Product Discounts
Dog Friendly Campus
Wellness Programs
Activity Clubs
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