2 days ago
Base Salary
$272k - $431k/yr
Responsibilities
- Analyze and optimize performance on current and next-generation NVIDIA GPUs.
- Create and optimize parallel algorithms, data structures, and reference code for NVIDIA GPUs.
- Analyze hardware-software architecture interactions involving algorithms, programming models, and applications.
- Lead and collaborate with hardware design, software engineering, product, and research teams to guide accelerated computing direction.
- Analyze accelerated computing applications to support software-hardware co-design.
- Benchmark, profile, and characterize workloads on GPU and CPU clusters.
- Document and present work through white papers, conference publications, official blog posts, and patent applications.
Requirements
- MS or PhD in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience.
- 12+ years of relevant work experience.
- Strong mathematical fundamentals, including linear algebra and numerical methods.
- Hands-on experience with massively parallel GPU programming models such as CUDA or OpenCL.
- Strong knowledge of C and C++, software design, programming techniques, and algorithms.
- Experience benchmarking, profiling, and characterizing workloads on GPU and CPU clusters.
- Strong communication, organization, problem-solving, time-management, and task-prioritization skills.
- Familiarity with MPI or OpenSHMEM/NVSHMEM, multicore CPU threading APIs, Unix-style IPC APIs, and Python is a plus.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and comparable employee pay.
- Applications will be accepted at least until October 24, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.