Embedded Systems Software Engineer - Impactful SOC & Equity

NVIDIA; Austin (TX); On-site; USD 116,000 - 224,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring for an embedded software role focusing on system software components for SOC platforms. You will develop firmware, boot-loaders, kernel drivers, and user-space applications, collaborating with hardware and product teams to optimize performance and resource usage.

The role emphasizes understanding the software stack, CPU/cache concepts, and hardware accelerators, with a strong emphasis on cross-functional communication and agile practices.

Qualifications

• Bachelor's degree or equivalent experience in CS/Engineering.
• 2+ years building software for embedded systems with C and Python.
• Understand system software stack: firmware, drivers, Linux kernel, user-space perf.
• Knowledge of CPU/cache and hardware accelerators.
• Strong engineering, investigative, testing and agile practices.
• Excellent written and oral communication; team collaboration.
• Familiar with GCC, Git, GitHub, Make, Bitbake, shell scripts, Gerrit, Jenkins.

Responsibilities

• Develop firmware, boot loaders, kernel drivers and user-space apps.
• Collaborate with hardware/product teams on SOC designs.
• Support global teams on DPU projects and optimization.
• Tackle system-level performance and resource challenges.
• Engage across the product lifecycle with clear requirements and quality.
• Work in a global matrixed software team to make a broad impact.

Skills

C programming

Python

Embedded systems

Linux kernel

Software performance

Communication skills

Education

Bachelor's degree in Computer Science/Engineering or equivalent experience

Tools

gcc

git

Linux

Make

Shell scripting

Gerrit

Jenkins

Bitbake

Job description

NVIDIA is hiring for an embedded software role focusing on system software components for SOC platforms. You will develop firmware, boot-loaders, kernel drivers, and user-space applications, collaborating with hardware and product teams to optimize performance and resource usage.

The role emphasizes understanding the software stack, CPU/cache concepts, and hardware accelerators, with a strong emphasis on cross-functional communication and agile practices.