Senior System Software Engineer - Simulation Software

Posted 2 Days Ago
Be an Early Applicant
4 Locations
In-Office
152K-242K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead pre-silicon system software bring-up and validation on simulation platforms. Develop automation, tools, and workflows to improve simulation-based development, debug complex cross-stack issues, enable teams to use virtual platforms, and drive platform readiness for new chips in early-development environments.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join the Simulation Software team at NVIDIA as a Senior System Software Engineer! This role offers an outstanding opportunity to work on breakthrough technology that drives everything from self-driving cars to advanced AI solutions. Our Mission is to accelerate early System Software development by enabling Chips Simulation as a trusted and reliable virtual platform.

What you will be doing:

  • Drive early software bring-up on simulation platforms for new chip and platform programs

  • Verify platform readiness and validate software functionality in pre-silicon development environments

  • Develop scripts, tools, and automation that improve productivity, reliability, and scale for simulation-based software development

  • Enable module teams to use simulation platforms effectively for development, debugging, and validation

  • Debug complex issues spanning software, platform configuration, infrastructure, and simulation environment interactions

  • Improve developer experience for teams using simulation infrastructure through better workflows, diagnostics, and tooling

What we need to see:

  • BS, MS, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field

  • 5+ years of relevant software development experience.

  • Strong C/C++ and Python programming skills

  • Hands-on experience with SystemC, VDK, or similar simulation platforms

  • Experience with system software bring-up, platform validation, low-level software development, or infrastructure-facing systems engineering

  • Strong Linux fundamentals, including shell scripting, process/debug tools, and development workflows

  • Strong debugging and problem-solving skills across software stacks, tools, platform behavior, and system interactions

  • Experience building developer tools, automation, test infrastructure, triage workflows, or tooling focused on improving efficiency

  • Ability to work across teams and drive technical execution in ambiguous early-development environments

Ways to stand out from the crowd:

  • Experience with pre-silicon development, primarily Simulation. Emulation, FPGA, virtual platforms would be a plus.

  • Background with boot flows, drivers, firmware interactions, kernel or platform software, or hardware-software interfaces

  • Familiarity with log analysis, failure triage, regression infrastructure, and validation workflows at scale

  • Experience enabling other engineering teams through shared tooling, workflows, and technical guidance

  • Experience in silicon bring-up, early platform enablement, or transition from pre-silicon to silicon validation

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

    You will also be eligible for equity and benefits.

    Applications for this job will be accepted at least until August 14, 2026.

    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

    • BS, MS, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field
    • 5+ years of relevant software development experience
    • Strong C/C++ programming skills
    • Strong Python programming skills
    • Hands-on experience with SystemC, VDK, or similar simulation platforms
    • Experience with system software bring-up, platform validation, low-level software development, or infrastructure-facing systems engineering
    • Strong Linux fundamentals, including shell scripting, process/debug tools, and development workflows
    • Strong debugging and problem-solving skills across software stacks, tools, platform behavior, and system interactions
    • Experience building developer tools, automation, test infrastructure, triage workflows, or tooling to improve efficiency
    • Ability to work across teams and drive technical execution in ambiguous early-development environments
    • Experience with pre-silicon development (Simulation, Emulation, FPGA, virtual platforms)
    • Background with boot flows, drivers, firmware interactions, kernel or platform software, or hardware-software interfaces
    • Familiarity with log analysis, failure triage, regression infrastructure, and validation workflows at scale
    • Experience enabling other engineering teams through shared tooling, workflows, and technical guidance
    • Experience in silicon bring-up, early platform enablement, or transition from pre-silicon to silicon validation

    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.

    • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
    • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
    • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

    NVIDIA Insights

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    The Company
    HQ: Santa Clara, CA
    21,960 Employees
    Year Founded: 1993

    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.”

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