The role focuses on performance analysis, modeling, and validation for deep learning systems, enhancing both hardware and software responsiveness.
Join a cutting-edge and well-funded hardware startup in Silicon Valley as an Deep Learning and Large Language Model Performance Architect. Our mission is to reimagine silicon and create Risc-V based Accelerated computing platforms that will transform the industry. You will have the opportunity to work with some of the most talented and passionate engineers in the world to create designs that push the envelope on performance, energy efficiency and scalability. We offer a fun, creative and flexible work environment, with a shared vision to build products to change the world.
Job Responsibility
* Workload Analysis - Analyzing the performance of important workloads, tuning our current software, and proposing improvements for future software.
* Performance modeling and analysis - develop analytical model for target systems and analyze the performance bottleneck. make recommendations to the implementation teams. Working with cross-collaborative teams of deep learning software engineers and hardware architects to develop innovative solutions. Adapting to the constantly evolving AI industry by being agile and excited to contribute across the codebase.
* Pre-silicon and post-silicon performance validation
Qualification
* MS or PhD in relevant discipline (CS, EE, Math) or equivalent experience with 5+ years working experiences
* In-depth knowledge of deep learning models or large language models
* Strong background in computer architecture or AI software stack/compilers
* Strong C/C++ programming and hardware modeling skills
* Strong problem solving and analytical thinking skills
* Performance modeling and analysis background a plus
* GPU programming experience (CUDA) a plus
* LLVM/MLIR development experience a plus
* Good communication and organizational skills
Top Skills
C
C++
Cuda
Deep Learning
Large Language Models
Llvm
Mlir
Risc-V
Similar Jobs
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
The Lead Architect will develop and implement integration solutions using WebMethods and MuleSoft, providing guidance to teams and collaborating cross-functionally to meet business requirements and align with enterprise architecture.
Top Skills:
Apache CamelApache CxfApache KafkaAWSAzureDockerEclipse MicroprofileGCPKubernetesMulesoftRed Hat FuseSpring IntegrationWebmethods
Cloud • Healthtech • Payments • Professional Services • Software • Analytics • Automation
Lead the technical development of scalable software solutions, ensuring high quality, collaborating with teams, and mentoring members. Drive best practices in design and development while managing complex projects.
Top Skills:
AWSCi/CdElasticsearchJ2EeJavaMongoDBMySQL
Healthtech • Logistics • Pharmaceutical
Responsible for designing, building, and maintaining IT infrastructure, implementing cloud solutions, and ensuring security and performance standards are met.
Top Skills:
AutomationCloud ComputingData ProtectionIt InfrastructureItsmScriptingSecurity Policies
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus