NVIDIA Corporation

Senior Software Engineer - SOC Platforms

NVIDIA Corporation • $184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Computer Science or related field, or equivalent experience
  • 10+ years in SOC systems and platform software development
  • Strong experience with Linux internals, device drivers, and performance profiling
  • Hands-on experience with observability architectures and distributed systems
  • Proficiency in full-stack software development, particularly backend systems
  • Solid understanding of advanced operating systems and computer architecture
  • Experience with AI/ML application development and integration

Responsibilities

  • Own platform software including kernel device driver development and firmware interactions
  • Design and develop high-performance observability platforms for real-time monitoring
  • Develop production applications and features for NVIDIA SOC products
  • Collaborate with software and product teams to launch new GPU platforms
  • Engage in code reviews and contribute to large production codebases
  • Understand AI workloads and their impact on NVIDIA architectures
  • Manage CPU-GPU interactions and firmware/bootloader processes

Benefits

  • Comprehensive benefits package for employees and their families
  • Equity options available
  • Highly competitive salaries
  • Opportunities for professional growth and development
  • Work in a collaborative and innovative environment
Full Job Description
Are you ready to join a dedicated team at the forefront of GPU & SOC technology? NVIDIA is looking for a Senior GPU Platforms Engineer to be part of our innovative and ambitious group. This is an outstanding opportunity to work on groundbreaking GPU & SOC systems and platform software, driving the next era of accelerated computing! What you'll be doing: • System Software Generalist: You will take ownership for platform software including kernel device driver development, firmware / BIOS interactions, health monitoring, system-level features on new GPU / SOC platforms and products. Looking for proactive, knowledgeable engineers open to switch between various critical products / projects / modules and deliver results. • Observability stack expert: Design and develop high-performance, distributed observability platforms handling high-volume data (metrics, logs, traces etc), real time monitoring, logging and alerting across diverse products having diverse environments and develop backend pipeline, analytics platform with a focus on performance at scale. • Full stack software engineer: Develop productions applications, solutions and features for NVIDIA SOC products. • Partnering with software, driver, and product / data center/Cloud units, you will launch new GPU platforms, resolve sophisticated system challenges, and improve performance, features and stability across configurations. • Engage actively in code reviews and contribute to substantial production codebases using solid C/C++ and data pipeline, business intelligence skills. • Understand how AI workloads map onto NVIDIA architectures (streaming multiprocessors, Tensor Cores, memory hierarchy, NVLink , PCIe, MIG, etc.), and how these architectural features impact latency, throughput, and cost. • Develop and sustain an in-depth knowledge of OS and system software, concentrating on Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling. • Apply your expertise in Operating Systems, Computer architecture to manage CPU-GPU interactions, PCIe, memory hierarchy, interrupts, and firmware/bootloaders. What we need to see: • BS/MS/PhD (or equivalent experience) in Computer Science or a related degree, along with multiple years of experience in systems, platform, embedded, or GPU software roles. • At least 10 years of experience in developing SOC systems and platform software. • System Software Generalist: Strong hands-on experience developing system software, covering Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling. • Observability Expertise: Hands-on experience with building modern observability architectures, (including metrics, logs, and traces), distributed systems design and modern business intelligence and analytics stack. • Strong Full-Stack Fluency: Proficiency in high-performance, secure, production software stack, backend systems programming. • A solid understanding of Advance Operating Systems, Advance Database, Computer Architecture and Distributed systems. • AI / ML Fluency: Experience developing AI/ML applications, integrating with various features and applications. • Proven record of designing scalable, secure solutions for products. Ways to stand out from the crowd: • Experience programming and debugging skills for SOC platforms with experience on various devices, across x86 & ARM system architecture. • In depth knowledge on Linux and / or Windows OS, Networking, virtualization. • Demonstrated proficiency in C/C++ along with strong coding abilities, having worked on extensive production codebases and conducted code reviews. Join us at NVIDIA, where your work will have a lasting impact on the world! 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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