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.
- 4+ 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 www.nvidiabenefits.com
Skills Required
- B.Tech. or B.E. degree in Computer Science or a related field, or equivalent experience
- At least 3 years of relevant software development experience
- Experience with embedded systems and/or kernel or driver stacks
- Hands-on experience building or maintaining security-relevant software features
- Strong C programming skills
- Experience with low-level, resource-constrained, or real-time environments, including bare-metal or RTOS systems
- Experience with device driver or BSP development
- Understanding of computer architecture and SoC fundamentals
- Experience debugging complex system-level issues across firmware, drivers, and hardware
- Ability to use AI tools for development, code reviews, and testing securely and responsibly
- Strong communication and collaboration skills
- Experience with RISC-V architecture, low-level BSP or firmware bring-up, toolchains, or on-chip security controllers
- Understanding of hardware security, applied cryptography, and secure coding practices
- Experience with secure boot, code integrity, confidentiality, TEEs, or key provisioning and rotation
- Experience with simulation, emulation, FPGA prototyping, virtual platforms, QEMU, or silicon bring-up
- Familiarity with fuzzing, fault injection, coverage-driven security testing, negative testing, or formal security methods
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
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.”
