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System Security Software Engineer

Define and implement security features for RISCV-based GPU controllers during pre-silicon bring‑up.
Pune, Mahārāshtra, India
Mid-Level
4 hours agoBe an early applicant
NVIDIA

NVIDIA

Designs advanced GPUs, AI computing platforms, and related technologies powering graphics, data centers, autonomous machines, and high-performance computing.

System Software Engineer

NVIDIA is seeking a highly motivated, creative system software engineer with strong embedded, kernel/driver, and security experience to join the GPU Software team in Pune, Maharashtra. As someone who is hardworking and passionate about their work, you will design and build key security features and verification strategies for NVIDIA GPUs. You should demonstrate the ability to excel in an environment with complex, multifaceted software and hardware designs.

What you'll be doing:

  • Define, design, develop and verify security and platform features for next-gen RISCV and other in-house controllers on NVIDIA GPUs, collaborating closely with hardware, firmware and system software teams.
  • Perform security analysis and hardening of various firmware & middleware (threat modeling, code reviews, static/dynamic analysis, fuzzing, negative testing).
  • Follow the devices from inception through silicon bring-up and production into desktops, notebooks, workstations, data centers, and gaming console products that are used throughout the world.
  • Use pre-silicon modeling, simulation and emulation to validate system and security properties early, de-risk bring-up, and shift-left defect discovery.
  • Multiple opportunities to collaborate and communicate effectively with distributed teams across time zones.
  • Use AI-assisted tools to improve development, review, and testing efficiency while staying aligned with NVIDIA security and coding best practices.

What we need to see:

  • B.Tech./B.E. degree or higher (Computer science or related) or equivalent experience.
  • 3+ yrs of relevant software development experience, especially with embedded systems and/or kernel/driver stack.
  • Strong interest and background in software and hardware security, with hands-on experience building or maintaining security-relevant features.
  • Excellent C programming skills and experience with low-level, resource-constrained or real-time environments (bare-metal or RTOS) and device driver or BSP development.
  • Solid understanding of computer architecture and SoC fundamentals (caches, buses, MMUs, memory controllers, DMA, interrupt controllers, security islands, fuses).
  • Experience with complex system-level debugging (cross-component issues involving firmware, drivers, and hardware).
  • Comfortable using AI tools for development, code reviews, and testing in a secure and responsible way.
  • Strong communication and collaboration skills, with the ability to drive designs and reviews across teams.

Ways to stand out from the crowd:

  • Experience with RISC-V architecture, low-level BSP / firmware bring-up, toolchains, and/or on-chip security controllers.
  • Strong understanding of hardware security, applied cryptography, and secure coding practices, especially for embedded controllers and firmware.
  • Hands-on work with secure boot, code integrity and confidentiality, TEEs, keys provisioning/rotation.
  • Experience with simulation/emulation and silicon bring-up for security or control processors (FPGA prototyping, virtual platforms, QEMU/PQEMU, emulators).
  • Familiarity with security verification techniques: fuzzing, fault-injection, coverage-driven security testing, negative testing, or formal methods for security properties.

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.

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System Security Software Engineer
Pune, Mahārāshtra, India
Engineering
About NVIDIA
Designs advanced GPUs, AI computing platforms, and related technologies powering graphics, data centers, autonomous machines, and high-performance computing.