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Senior Deep Learning Performance Architect - LPU

NVIDIA, US, CA, Remote +1

Posted pay

$152K–$288K

a year

Location: US, CA, Remote +1
Work type: Not given
Level: Senior
Experience: 5+ years
Skills in the job text: Python
C++
C
CUDA
Posted: 12 days ago
Last check: 25 h ago
Job type: ML / AI engineering, Inference & ML systems

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NVIDIA

About NVIDIA: funding, hiring and pay

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The role

NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads. This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you!

What you will do

Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency
Construct, investigate, and test popular deep learning algorithms and applications
Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications
Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture
Collaborate across the company to guide the direction of AI, working with software, research, and product teams

What you need

A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience
Strong mathematical foundation in machine learning and deep learning
Expert programming skills in C, C++, and/or Python
Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack
Strong knowledge and coursework in computer architecture

Ways to stand out from the crowd

Background with systems-level performance modeling, profiling, and analysis
Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results
Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware

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: 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 November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA

We are now looking for a Senior Deep Learning Performance Architect!

Legal notes

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.

Read the job posting on the NVIDIA site

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Source: the NVIDIA Workday careers site. We last checked this job 25 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now.

NVIDIA

Open tech jobs: 1,424
With posted pay: 78%
Median posted base: $184K–$322K

About NVIDIA: funding, hiring and pay

Compared with similar jobs

This base pay is above the median for senior ML and AI engineering jobs that are remote in the US.

Median: $208K a year
Other jobs in the group: 171

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.