GPU Performance tooling engineer
RivosSalary not specified
Full Time
Junior (1 to 2 years)
$224,000 – $425,500Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial Intelligence, SemiconductorsIndustries
Requirements
- PhD degree in Computer Science, Computer Engineering, Applied Math, or related field (or equivalent experience)
- 8+ years of relevant industry experience
- Strong C++ programming and software design skills, including debugging, performance analysis, and test design
- Demonstrated experience leading or managing a team related to the performance of CPUs, GPUs, or other DL accelerators
Responsibilities
- Specify test cases derived from Deep Learning workloads to ensure adequate coverage across all kernels on simulation and silicon targets
- Develop and use analytical models to determine performance theory
- Track and report on kernel performance throughout the development lifecycle using existing infrastructure
- Identify performance regressions and opportunities for peak performance, providing feedback to kernel developers
Skills
C++
GPU
Performance Analysis
Debugging
Software Design
Test Design
Analytical Modeling
Cycle-Accurate Simulators
cuDNN
cuBLAS
TensorRT
CUTLASS
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees
Benefits
Company Equity
401(k) Company Match
Risks
Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.
Differentiation
NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.
Upsides
Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.
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