$101.10K - $138.90K/yr
Are you excited by how GPU performance powers breakthroughs in deep learning, autonomous systems, and high-performance computing? We are seeking a talented Deep Learning Compiler & Tools Engineer ...
$101.10K - $138.90K/yr
Are you excited by how GPU performance powers breakthroughs in deep learning, autonomous systems, and high-performance computing? We are seeking a talented Deep Learning Compiler & Tools Engineer ...
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 ...
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 ...
Redmond, UT · On-site
$60K - $148.50K/yr
GPU Kernel Software Engineer City: Redmond State/Province: Washington Posting Start Date: 5/14/26 ... GPU kernel development, GPU architecture and performance optimization techniques, compiler ...
Redmond, UT · On-site
$60K - $148.50K/yr
GPU Kernel Software Engineer City: Redmond State/Province: Washington Posting Start Date: 5/14/26 ... GPU kernel development, GPU architecture and performance optimization techniques, compiler ...
Redmond, UT · On-site
$60K - $148.50K/yr
GPU Kernel Software Engineer City: Redmond State/Province: Washington Posting Start Date: 5/14/26 ... GPU kernel development, GPU architecture and performance optimization techniques, compiler ...
Redmond, UT · On-site
$60K - $148.50K/yr
GPU Kernel Software Engineer City: Redmond State/Province: Washington Posting Start Date: 5/14/26 ... GPU kernel development, GPU architecture and performance optimization techniques, compiler ...
Salt Lake City, UT · On-site
$135.50K/yr
... GPU architectures. Qualifications : Required : • B.S. or higher degree in Computer Science ... and in performance analysis tools. • Excellent hands-on C++ programming skills applied to ...
Salt Lake City, UT · On-site
$135.50K/yr
... GPU architectures. Qualifications : Required : • B.S. or higher degree in Computer Science ... and in performance analysis tools. • Excellent hands-on C++ programming skills applied to ...
... performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering ...
... performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering ...
... performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering ...
... performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering ...
... performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering ...
Quick apply
... performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering ...
Salt Lake City, UT · Remote
$150K - $190K/yr
The High Performance Computing (HPC) Engineer supports and optimizes HPC environments that enable ... Understanding of GPU computing, containerization (Docker/Singularity), and modern HPC architectures.
Salt Lake City, UT · Remote
$150K - $190K/yr
The High Performance Computing (HPC) Engineer supports and optimizes HPC environments that enable ... Understanding of GPU computing, containerization (Docker/Singularity), and modern HPC architectures.
Santa Clara, UT · On-site
$45K - $110K/yr
Review schematics, layout, and component selections (CPU, GPU, DDR, PCIe, VRM, NIC, storage ... Support platform bring-up, functional validation, and performance tuning Manufacturing & Quality
Santa Clara, UT · On-site
$45K - $110K/yr
Review schematics, layout, and component selections (CPU, GPU, DDR, PCIe, VRM, NIC, storage ... Support platform bring-up, functional validation, and performance tuning Manufacturing & Quality
Santa Clara, UT · On-site
$45K - $121K/yr
Review schematics, layout, and component selections (CPU, GPU, DDR, PCIe, VRM, NIC, storage ... Support platform bring-up, functional validation, and performance tuning Manufacturing & Quality
Santa Clara, UT · On-site
$45K - $121K/yr
Review schematics, layout, and component selections (CPU, GPU, DDR, PCIe, VRM, NIC, storage ... Support platform bring-up, functional validation, and performance tuning Manufacturing & Quality
Define the Android platform engineering strategy for the GM Infotainment system and provide ... GPU/NPU), memory hierarchies, power/performance tradeoffs, and system‑level optimization.
Define the Android platform engineering strategy for the GM Infotainment system and provide ... GPU/NPU), memory hierarchies, power/performance tradeoffs, and system‑level optimization.
Lehi, UT · Remote
Optimize model development and deployment in GPU/TPU environments using PyTorch. * Work cross ... Ability to balance theoretical ML knowledge with practical, high-performance implementation.
Lehi, UT · Remote
Optimize model development and deployment in GPU/TPU environments using PyTorch. * Work cross ... Ability to balance theoretical ML knowledge with practical, high-performance implementation.
Santa Clara, UT · On-site
$45K - $121K/yr
Support platform bring-up, functional validation, and performance tuning Manufacturing & Quality ... engineering for manufacturability and reliability * Support secure boot, RAS features, GPU ...
Santa Clara, UT · On-site
$45K - $121K/yr
Support platform bring-up, functional validation, and performance tuning Manufacturing & Quality ... engineering for manufacturability and reliability * Support secure boot, RAS features, GPU ...
Mendon, UT · On-site
$93.70K - $122.90K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
Mendon, UT · On-site
$93.70K - $122.90K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
Lehi, UT · On-site
$100.90K - $132.40K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
Quick apply
Lehi, UT · On-site
$100.90K - $132.40K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
$93.70K - $122.90K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
$93.70K - $122.90K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
$100.90K - $132.40K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
$100.90K - $132.40K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
Mendon, UT · On-site
$93.70K - $122.90K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
Quick apply
Mendon, UT · On-site
$93.70K - $122.90K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
Lehi, UT · On-site
$100.90K - $132.40K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
Lehi, UT · On-site
$100.90K - $132.40K/yr
Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage ... Strong understanding of modern AI infrastructure components, including distributed computing, GPU ...
| 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.
$101.10K - $138.90K/yr
Full-time
Posted 21 days ago
NVIDIA is building advanced compiler technologies to accelerate AI workloads, and we are looking for an engineer focused on performance validation, analysis, and tracking. In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and continuously validated over time.
Do you want to help drive the performance of next-generation compilers? Are you excited by how GPU performance powers breakthroughs in deep learning, autonomous systems, and high-performance computing? We are seeking a talented Deep Learning Compiler & Tools Engineer focused on CUDA Tile (Performance & Infrastructure) to join our team.
You will collaborate closely with compiler developers, infrastructure providers, and hardware teams to build systems that track, analyze, and improve performance across rapidly evolving AI workloads. If you're passionate about performance, systems, and building infrastructure that drives real-world impact, we want to hear from you.
What You'll Be Doing:
Design and develop performance testing frameworks for deep learning compilers and workloads
Build and maintain automated pipelines (CI/CD) to continuously track performance across models, hardware, and compiler changes
Implement benchmarking systems to measure latency, throughput, and efficiency of AI and HPC workloads
Analyze performance trends over time and identify regressions, bottlenecks, and optimization opportunities
Partner with compiler and architecture teams to debug and resolve performance issues
Develop tools and dashboards for performance visualization, reporting, and insights
Enable scalable testing across diverse GPU systems and environments
Improve infrastructure to ensure reliable, reproducible, and high-signal performance data
What We Need to See:
BS, MS, or PhD (or equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field
5+ years of software engineering experience, including experience in performance engineering, benchmarking, or systems optimization
Strong programming skills in Python (C++ is a plus)
Experience with CI/CD systems and automation frameworks
Familiarity with hardware-aware performance analysis (GPUs, accelerators, or similar systems)
Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, or TensorRT
Background in data analysis, profiling, and regression tracking
Ability to debug complex system-level issues across software and hardware layers
Ways to Stand Out from the Crowd::
Experience with GPU performance analysis and optimization
Understanding of compiler internals (LLVM, MLIR, CUDA compilation flow)
Experience building performance dashboards and large-scale telemetry systems
Familiarity with hardware/software co-design or low-level performance tuning
Experience with distributed testing infrastructure or large-scale benchmarking systems
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the most desirable employers in the technology industry. Our teams are tackling some of the most challenging problems in AI, deep learning, and accelerated computing.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.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.#deeplearning
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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
