$77K - $105K/yr
... compiler, and tools teams.**What we need to see:*** Strong hands-on experience with CUDA and parallel programming.* Deep understanding of CPU/GPU architecture fundamentals and how they impact ...
$77K - $105K/yr
... compiler, and tools teams.**What we need to see:*** Strong hands-on experience with CUDA and parallel programming.* Deep understanding of CPU/GPU architecture fundamentals and how they impact ...
$89K - $120K/yr
NVIDIA has been at the forefront of providing GPU-accelerated implementations of the fundamental ... Background on compiler optimization techniques, and domain-specific language design Your base ...
$89K - $120K/yr
NVIDIA has been at the forefront of providing GPU-accelerated implementations of the fundamental ... Background on compiler optimization techniques, and domain-specific language design Your base ...
$100K/yr
AI Optimization Engineer - Remote is a technology consulting and software development company ... of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ...
$100K/yr
AI Optimization Engineer - Remote is a technology consulting and software development company ... of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ...
Hands-on GPU programming and profiling experience with CUDA or Triton. You understand memory ... Significant contributions to an inference engine, GPU kernel library, compiler, or distributed ...
New
Hands-on GPU programming and profiling experience with CUDA or Triton. You understand memory ... Significant contributions to an inference engine, GPU kernel library, compiler, or distributed ...
New
$190K - $280K/yr
These inference systems offer significant performance and efficiency gains over traditional GPU ... Expert‑level command of Cadence Genus and/or Synopsys Design Compiler. * Strong SDC expertise ...
$190K - $280K/yr
These inference systems offer significant performance and efficiency gains over traditional GPU ... Expert‑level command of Cadence Genus and/or Synopsys Design Compiler. * Strong SDC expertise ...
$175K - $225K/yr
Build deep fluency across the Chimera stack -- quantization, custom kernels, and compiler tooling ... NPU, GPU, or embedded SoC). * Systems-level performance intuition -- memory bandwidth, data ...
$175K - $225K/yr
Build deep fluency across the Chimera stack -- quantization, custom kernels, and compiler tooling ... NPU, GPU, or embedded SoC). * Systems-level performance intuition -- memory bandwidth, data ...
$77K - $105K/yr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Hands-on experience with industry-standard EDA tools such as Innovus, Fusion Compiler, Crosscheck ...
$77K - $105K/yr
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... Hands-on experience with industry-standard EDA tools such as Innovus, Fusion Compiler, Crosscheck ...
$184K - $324K/yr
Ability to prototype and benchmark algorithms on CPU, GPU, and Neural Engine platforms, analyze ... Knowledge of operating system internals and compiler technologies. * Technical aptitude and ...
$184K - $324K/yr
Ability to prototype and benchmark algorithms on CPU, GPU, and Neural Engine platforms, analyze ... Knowledge of operating system internals and compiler technologies. * Technical aptitude and ...
$129K - $225K/yr
... GPU and memory subsystems. Engage across many teams, from hardware engineering to compiler, application and frameworks teams, to drive world-class end-to-end system performance. Minimum ...
$129K - $225K/yr
... GPU and memory subsystems. Engage across many teams, from hardware engineering to compiler, application and frameworks teams, to drive world-class end-to-end system performance. Minimum ...
Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with ... Familiarity with NPU/GPU accelerator ecosystems, LLM inference infrastructure, and AI data center ...
New
Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with ... Familiarity with NPU/GPU accelerator ecosystems, LLM inference infrastructure, and AI data center ...
New
$70 - $90/hr
... standards (GPU vs Trainium accumulation order, rounding behavior, mixed-precision semantics) Preferred Qualifications * Direct experience with AWS Neuron SDK, Neuron Compiler internals, or ...
$70 - $90/hr
... standards (GPU vs Trainium accumulation order, rounding behavior, mixed-precision semantics) Preferred Qualifications * Direct experience with AWS Neuron SDK, Neuron Compiler internals, or ...
$271K - $383K/yr
As a Software Engineering Manager, you will lead a team of talented software engineers and ... Experience with GPU architecture, compiler technology, runtime software, or graphics stacks.
$271K - $383K/yr
As a Software Engineering Manager, you will lead a team of talented software engineers and ... Experience with GPU architecture, compiler technology, runtime software, or graphics stacks.
... GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in ... Familiarity with EDA tools like Design Compiler, Spyglass, or PrimeTime. Location: This is a remote ...
... GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in ... Familiarity with EDA tools like Design Compiler, Spyglass, or PrimeTime. Location: This is a remote ...
The parser and compiler work in this role is what enables this guarantee. Remote first Work from ... We'll also get you a GPU if you don't have one. Location .txt is a fully remote company with the ...
The parser and compiler work in this role is what enables this guarantee. Remote first Work from ... We'll also get you a GPU if you don't have one. Location .txt is a fully remote company with the ...
The parser and compiler work in this role is what enables this guarantee. Remote first Work from ... We'll also get you a GPU if you don't have one. Location .txt is a fully remote company with the ...
The parser and compiler work in this role is what enables this guarantee. Remote first Work from ... We'll also get you a GPU if you don't have one. Location .txt is a fully remote company with the ...
$46.50 - $61.25/hr
Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with ... Familiarity with NPU/GPU accelerator ecosystems, PCIe integration, and data center hardware ...
New
$46.50 - $61.25/hr
Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with ... Familiarity with NPU/GPU accelerator ecosystems, PCIe integration, and data center hardware ...
New
$50 - $60/hr
Overview We're seeking an experienced interviewer to help vet shortlisted engineers across GPU kernel development, security & vulnerability research, and ML-compiler / accelerator domains for an AI ...
$50 - $60/hr
Overview We're seeking an experienced interviewer to help vet shortlisted engineers across GPU kernel development, security & vulnerability research, and ML-compiler / accelerator domains for an AI ...
Share results with the architects setting the design, as well as the compiler, runtime, and RTL ... Familiarity with CUDA, GPU programming, or PyTorch internals. What We Offer This is an opportunity ...
Share results with the architects setting the design, as well as the compiler, runtime, and RTL ... Familiarity with CUDA, GPU programming, or PyTorch internals. What We Offer This is an opportunity ...
$40 - $50/hr
This role supports a technical expert programme focused on areas including GPU kernel development, security and vulnerability research, and ML compiler and accelerator engineering. Selected ...
New
$40 - $50/hr
This role supports a technical expert programme focused on areas including GPU kernel development, security and vulnerability research, and ML compiler and accelerator engineering. Selected ...
New
Kernels are written once, and Quadrants, our in-house JIT compiler, lowers them to CUDA, AMD ROCm ... Massively batched GPU simulation for learning at scale, and complex non-batched scenes where CPU ...
Kernels are written once, and Quadrants, our in-house JIT compiler, lowers them to CUDA, AMD ROCm ... Massively batched GPU simulation for learning at scale, and complex non-batched scenes where CPU ...
Gpu Compiler Engineer information
What is a GPU compiler engineer?
GPU Compiler Engineers are specialized software engineers who design, develop, and optimize compilers that translate high-level programming code into machine code that runs efficiently on Graphics Processing Units (GPUs). Their work enables developers to harness the full power of GPUs for tasks such as graphics rendering, scientific computing, and machine learning. These engineers often work closely with hardware teams to ensure compatibility and performance, and they play a critical role in advancing GPU technology.
What are some common challenges faced by GPU compiler engineers in optimizing code for different hardware architectures?
GPU Compiler Engineers often encounter challenges when adapting and optimizing code for a wide variety of GPU architectures. Each hardware platform may have unique instruction sets, memory hierarchies, and performance characteristics, requiring tailored compiler optimizations. Balancing performance, portability, and correctness is an ongoing challenge, especially when supporting multiple vendors or generations of hardware. Close collaboration with hardware engineers and performance analysts is essential to ensure the compiler produces efficient code that leverages the strengths of each GPU architecture.
What are the key skills and qualifications needed to thrive as a GPU compiler engineer, and why are they important?
To thrive as a GPU Compiler Engineer, you need a strong background in computer science, with expertise in compiler design, parallel programming, and GPU architectures, typically supported by a relevant degree. Familiarity with tools and languages such as LLVM, CUDA, OpenCL, and performance profiling systems is essential. Analytical thinking, problem-solving ability, and effective collaboration are crucial soft skills for success in this role. These skills ensure the development of high-performance, reliable compiler solutions that optimize GPU-based applications and support innovation in computing.
What is the difference between Gpu Compiler Engineer vs Gpu Software Engineer?
| Aspect | Gpu Compiler Engineer | Gpu Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Electrical Engineering, or related; knowledge of compiler design | Bachelor's or Master's in Computer Science or related; strong programming skills |
| Work Environment | Research and development teams focused on compiler optimization and hardware integration | Software development teams working on GPU applications, drivers, or SDKs |
| Industry Usage | Primarily in hardware and compiler companies, GPU manufacturers |
The Gpu Compiler Engineer specializes in developing and optimizing compilers for GPU hardware, focusing on translating high-level code into efficient machine instructions. In contrast, the Gpu Software Engineer works on creating GPU-related software, such as drivers, SDKs, or applications. While both roles require strong programming skills and knowledge of GPU architecture, the compiler engineer emphasizes compiler design and optimization, whereas the software engineer focuses on software development and integration.
What are popular job titles related to Gpu Compiler Engineer jobs in Kentucky?
For Gpu Compiler Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Gpu Compiler Engineer jobs in Kentucky look for?
The top searched job categories for Gpu Compiler Engineer jobs in Kentucky are:
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- Home Based Nvidia Machine Learning
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Senior AI and Quant DevTech Engineer
On-site
NVIDIA Corporation
• Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
$77K - $105K/yr
Other
Re-posted 12 hours ago
Key responsibilities
Design and develop techniques to accelerate high-performance workloads at the intersection of AI, math, and financial systems.
Analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
Profile and eliminate performance bottlenecks across algorithms, kernels, and system-level behavior.
Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
Job description
## Senior AI and Quant DevTech EngineerApplylocations: US, CA, Santa Clara: US, NY, New Yorktime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2016002We are looking for a software engineer with a strong background in parallel processing and GPU architecture to push the limits of performance at the intersection of AI, high-performance computing, and financial markets. In this role, you will dive deep into parallel algorithms, GPUs, and sophisticated systems, identifying and eliminating bottlenecks to unlock the full power of the world’s most advanced processing hardware.You will collaborate with top experts across industry and academia, influence next-generation platforms, and share your insights with the global developer community. Do you enjoy solving hard technical problems, love performance tuning, and want your work to have a visible impact across an entire industry? If so, we'd love for you to consider this role. **What you will be doing:*** Designing and developing groundbreaking techniques to accelerate high-performance workloads at the intersection of AI, math, and financial systems.* Working hands-on with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.* Profiling and eliminating performance bottlenecks across the stack—from algorithms to kernels to system-level behavior.* Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.* Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.**What we need to see:*** Strong hands-on experience with CUDA and parallel programming.* Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.* A Master’s or PhD in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field.* Fluency in C/C++ and a solid foundation in algorithms and software design.* 5+ years of relevant work or research experience.* Proven experience improving the performance of large-scale computational applications on GPUs.* Excellent understanding of linear algebra.* Strong communication and organizational skills, with a logical approach to problem-solving and solid prioritization abilities.**Ways to stand out from the crowd:*** Experience with inference optimization techniques and deploying optimized AI models in production.* Experience with TensorRT, TensorRT-LLM, and cuTile.* Experience parallelizing and optimizing machine learning methods such as decision trees, time-series models, and Monte Carlo simulations.#LI-HybridYour 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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 9, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive 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. #J-18808-Ljbffr
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