$104.40K - $143.40K/yr
What you'll be doing: * Assist customers GPU accelerate HPC applications. * Analyze High ... performance characteristics. * Provide advise and drive compiler and applications engineering ...
$139.90K/yr
This software engineering role involves developing datacenter scale performance modeling and ... Knowledge of GPU cluster job scheduling (Slurm or Kubernetes), storage and networking * Experience ...
New
$139.90K/yr
We are now looking for a Deep Learning Software Engineer, TensorRT Performance! NVIDIA is seeking ... We specialize in developing GPU-accelerated deep learning inference software like TensorRT, DL ...
An era in which our tightly coupled CPU, GPU and DPU technology acts as the brains of computers ... analyze performance What we need to see: * BS or MS degree in Computer Engineering, Computer ...
An era in which our tightly coupled CPU, GPU and DPU technology acts as the brains of computers ... analyze performance What we need to see: * BS or MS degree in Computer Engineering, Computer ...
$139.90K/yr
An era in which our tightly coupled CPU, GPU and DPU technology acts as the brains of computers ... analyze performance What we need to see: * BS or MS degree in Computer Engineering, Computer ...
Systems Performance Architect
Beaverton, OR · On-site
$173.80K/yr
As a System Performance Engineer, you will play a critical role in ensuring the performance ... Experience with system level performance spanning hardware (CPU, GPU, DRAM, storage), software (OS ...
Systems Performance Architect
Beaverton, OR · On-site
$173.80K/yr
As a System Performance Engineer, you will play a critical role in ensuring the performance ... Experience with system level performance spanning hardware (CPU, GPU, DRAM, storage), software (OS ...
OR · On-site
$139.90K/yr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are looking for a Raytracing Compiler Engineer to join as a member of our international ...
$104.40K - $143.40K/yr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are searching for a highly motivated engineer to lead performance benchmarking and optimization ...
Systems Performance Architect
$147.40K - $272.10K/yr
Description As a System Performance Engineer, you will play a critical role in ensuring the ... Experience with system level performance spanning hardware (CPU, GPU, DRAM, storage), software (OS ...
Systems Performance Architect
$147.40K - $272.10K/yr
Description As a System Performance Engineer, you will play a critical role in ensuring the ... Experience with system level performance spanning hardware (CPU, GPU, DRAM, storage), software (OS ...
Systems Performance Architect
$147.40K - $272.10K/yr
Description As a System Performance Engineer, you will play a critical role in ensuring the ... Experience with system level performance spanning hardware (CPU, GPU, DRAM, storage), software (OS ...
Systems Performance Architect
$147.40K - $272.10K/yr
Description As a System Performance Engineer, you will play a critical role in ensuring the ... Experience with system level performance spanning hardware (CPU, GPU, DRAM, storage), software (OS ...
$121.40K - $163.30K/yr
This developer will be a crucial member of a team that is working to unlock the power of ... Analyze and improve the performance of developed APIs on various CPU and GPU architectures ...
$60 - $78/hr
GPU Optimization: Familiarity with CUDA programming or profiling GPU performance (Nsight systems). * Open Source: Contributions to open-source AI projects (HuggingFace transformers, vLLM, etc.). Why ...
$104.40K - $143.40K/yr
Experience with low-level GPU performance optimization * Understanding of numerical linear algebra ... and engineering. More recently, GPU deep learning ignited modern AI - the next era of computing ...
OR · Hybrid
$139.90K/yr
Knowledge of GPU architectures. The DevTech Engineer plays a crucial role in the success of NVIDIA and our customers. DevTechs work with external technologists to investigate performance of their ...
OR · On-site
Perform and bring these methods to completion on large-scale GPU clusters. Assess performance ... Work directly with engineering and collaborate with internal partners to understand their ...
We are searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for ... Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ...
Experience with performance programming and software optimization. * Knowledge of GPU-accelerated workloads. * Experience with Kubernetes, enterprise security protocols, and SQLite. NVIDIA is a ...
Experience with performance programming and software optimization. * Knowledge of GPU-accelerated workloads. * Experience with Kubernetes, enterprise security protocols, and SQLite. NVIDIA is a ...
OR · On-site
$47K - $61.40K/yr
Designing, implementing and optimizing scalable high-performance numerical sparse linear algebra software for existing and future GPU architectures * Working with library engineers, QA engineers, and ...
OR · On-site
$122.40K - $161.30K/yr
We are seeking a Senior Software Engineer to drive integration of the NVIDIA Grove project within ... Knowledge of GPU performance profiling and optimization (Nsight tools or similar), and/or kernel ...
Software Engineer 5 - Model Runtime, AI Platform
OR · On-site +1
$466K - $750K/yr
We're looking for a Software Engineer who thrives at the intersection of systems engineering and ML ... GPU performance profiling and tuning (CUDA, NCCL, Nsight, PyTorch profiler) Experience with ...
Software Engineer 5 - Model Runtime, AI Platform
OR · On-site +1
$466K - $750K/yr
We're looking for a Software Engineer who thrives at the intersection of systems engineering and ML ... GPU performance profiling and tuning (CUDA, NCCL, Nsight, PyTorch profiler) Experience with ...
Gpu Performance Engineer information
What are the key skills and qualifications needed to thrive as a GPU Performance Engineer, and why are they important?
To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.
What are some common challenges faced by GPU Performance Engineers when optimizing graphics workloads?
GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.
What is a GPU Performance Engineer?
A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.
What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?
| Aspect | Gpu Performance Engineer | Gpu Hardware Engineer |
|---|---|---|
| Primary Focus | Optimizing GPU performance, benchmarking, and tuning software | Designing, developing, and testing GPU hardware components |
| Required Skills | Programming, performance analysis, GPU architecture knowledge | Hardware design, circuit analysis, FPGA/ASIC experience |
| Work Environment | Software development teams, labs for testing performance | Hardware labs, manufacturing facilities, R&D centers |
| Common Certifications | None specific, often requires computer engineering or related degrees | Electrical engineering, VLSI design certifications |
The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.
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Job description
As a member of our team in NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into the performance characteristics of these applications. The applications you'll work with range from small synthetic benchmarks that use a single core to full applications that utilize all of the resources on distributed-memory systems with heterogeneous compute nodes including CPUs, GPUs and many-core processors. In this role you will analyze these applications and identify optimization opportunities for compiler development teams and application engineering teams.
What you'll be doing:
Assist customers GPU accelerate HPC applications.
Analyze High Performance Computing (HPC) applications to better understand their performance characteristics.
Provide advise and drive compiler and applications engineering development teams based on the analysis of these HPC applications.
What we need to see:
BS/MS or equivalent experience in Computer Science or related engineering field.
8+ Years of programming experience.
Solid understanding of Fortran/C/C++, as well as programming techniques, especially for parallel architectures; preferably for compilers
Experience with OpenACC, OpenMP, MPI, and CUDA.
Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development tools and runtime environments.
Strong mathematical fundamentals, including linear algebra and numerical methods.
Understand performance considerations, tradeoffs and impact.
Expert interpersonal skills, logical approach to problem solving, good time management and task prioritization skills. Excellent written and verbal communication skills, along with the ability to work in a dynamic product oriented team.
Ways to stand out from the crowd:
You have a deep understanding of machine architectures and micro-architectures.
Experience with debugging and porting as well as assembly language programming is a significant advantage.
Experience is leading and/or managing projects is a plus.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993