We are now looking for a Senior Accelerated Computing Architect!
NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.
What you'll be doing:
Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.
Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications.
Actively collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
Diving into accelerated computing applications to facilitate software-hardware co-design.
Writing up and presenting your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.
What we need to see:
An MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering, or equivalent experience
6+ years of relevant work experience
Strong mathematical fundamentals, including linear algebra and numerical methods.
A passion for performance optimization.
Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.
Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms. Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus.
Familiarity with Python is a plus.
Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of pushing an architecture to its limits? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
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 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.Skills Required
- MS or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering, or equivalent experience
- 6+ years of relevant work experience
- Strong mathematical fundamentals, including linear algebra and numerical methods
- Passion for performance optimization
- Hands-on experience with massively parallel GPU programming models such as CUDA or OpenCL
- Strong knowledge of C and C++
- Understanding of software design, programming techniques, and algorithms
- Good communication and organization skills
- Logical problem-solving approach, time management, and task prioritization skills
- Familiarity with multi-node communication APIs such as MPI or OpenSHMEM/NVSHMEM
- Familiarity with threading APIs for multicore CPUs
- Familiarity with Unix-style inter-process communication APIs
- Familiarity with Python
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
