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System Software Engineer - Tegra

NVIDIA

System Software Engineer - Tegra

NVIDIA

US, CA, Santa Clara

·

On-site

·

Full-time

·

2w ago

Compensation

$124,000 - $195,500

Benefits & Perks

Equity

Healthcare

Equity

Healthcare

Required Skills

C++

C

Driver Programming

Debugging

ARM Architecture

We are now hiring a System Software Engineer to join the NVIDIA's System Software group focusing on Data Center Server Platform Diagnostics. You will join a dynamic crew that builds and maintains software for complex heterogeneous computing systems that power sophisticated server products used in ground breaking of diverse AI, HPC, and accelerated computing workloads. We have some of the best engineers in the world conceptualizing and taking these products to the finish line and these outstanding engineering teams are rapidly growing. If you're a creative software engineer with a real passion for developing products with new technology, we want to hear from you.

What you’ll be doing:

  • Designing and developing diagnostic middle-ware and diagnostic applications for NVIDIA SOC and GPU hardware

  • Architecting and driving new diagnostic software solutions that cater to all phases of the product life cycle - bring up, manufacturing, hardware qualification, failure analysis and custom platforms.

  • Participating in overall system software architecture and collaborate with internal software teams to integrate diagnostic components with various system software components.

  • Working closely with ASIC and NPI teams to plan, implement and cater to new product requirements.

  • Research and evaluating industrial technical standards and drive implementations as needed

What we need to see:

  • BS/MS in EE/CS or equivalent experience.

  • 2 years of experience

  • Strong C/C programming skills and object-oriented programming skills.

  • Experience with low level / driver level programming.

  • Understanding of processor architecture fundamentals, preferably arm.

  • Strong problem-solving and debugging skills.

  • Strong communication, interpersonal and planning skills.

Ways to stand out from the crowd:

  • Knowledge of Linux kernel internals.

  • Knowledge of Server / PC system architecture.

  • Experience in Pre-Silicon / Post-Silicon bringup planning and execution of complex So Cs and platforms

  • Consistent record of learning new technologies on the job in a time-bound manner.

  • Experience working in teams on large SW project

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR