Senior Software Engineer, Low Latency Physical AI Sensor Systems

NVIDIA AI; Santa Clara (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Health Insurance

Stock Options

Job summary

NVIDIA AI in Santa Clara, CA is seeking an accomplished systems programmer to design and build high-performance, low-latency data pipelines from sensors to GPU memory. You will work closely with hardware, firmware, and AI teams to deliver end-to-end solutions.

Candidates should have a CS/CE degree and 8+ years in systems programming, with deep networking knowledge and real-time/RTOS experience. Proficiency in C/C++, Python, CUDA, and GPU workflows is expected.

Qualifications

• Degree in CS/CE or related field.
• 8+ years of experience in systems programming.
• Deep understanding of networking and real-time operating systems.

Responsibilities

• Design and build high-performance, low-latency data pipelines from sensors to GPU memory.
• Collaborate with hardware, firmware, and AI teams to deliver end-to-end solutions.
• Ensure reliable networking and real-time performance in complex systems.

Skills

C/C++

Python

Linux Internals

Networking

Real-Time Operating Systems

Low-Latency Systems

Hardware/Software Interfaces

Debugging

AI Coding Tools

CUDA

GPU Programming

Sensor Pipelines

Distributed Systems

Edge Computing

Robotics

Healthcare Devices

Education

Bachelor's degree in Computer Science, Computer Engineering, or related field

8+ years of experience in systems programming

Job description

Design and build high-performance, low-latency data pipelines from sensors to GPU memory. Collaborate with hardware, firmware, and AI teams to deliver end-to-end solutions.

Requirements

A degree in Computer Science, Computer Engineering, or a related field is required, along with 8+ years of experience in systems programming. Candidates should have a deep understanding of networking and experience with real-time operating systems.

Key Skills

• C/C++


• Python


• Linux Internals


• Networking


• Real-Time Operating Systems


• Low-Latency Systems


• Hardware/Software Interfaces


• Debugging


• AI Coding Tools


• CUDA


• GPU Programming


• Sensor Pipelines


• Distributed Systems


• Edge Computing


• Robotics


• Healthcare Devices

Benefits

• Equity


• Health Insurance


• Stock Options