Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Senior Level 6+ years of relevant computer architecture or SW development experience.
- Education
- BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).
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Role Summary
This Senior System Software Engineer role is in the Tegra system-on-chip (SoC) software organization, working on the ARM SW ecosystem and system software architecture. The stated charter is to enable datacenter-scale performance and efficiency for next-generation datacenter products, including CPUs and CPU+GPU Superchips.
What You'll Do
- Design, develop, test, and optimize software for next-generation SoCs across pre-silicon and post-silicon phases.
- Review architectural performance bottlenecks for system-wide workloads and identify HW/SW policies to drive performance and...
- Build and drive architecture and analysis documents and communications to internal and/or external audiences about the technology.
- Perform competitive analysis comparing uArchitecture and workload performance metrics on NVIDIA's ARM SoCs against emerging processors...
- Influence and drive full-stack adoption of performance optimizations and standard methodologies across NVIDIA SW products and OSS SDKs.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A BS or MS in a computing field (or equivalent experience) with 6+ years of relevant experience in computer architecture or software development.
Required
- BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience)
- 6+ years of relevant computer architecture or SW development experience
- Proven leadership skills and strong ownership on past projects
- Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs
- Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers...
- Strong skills in performance analysis, data analysis and performance optimization
Preferred
- Deep expertise in ARM architecture and SW ecosystem
- Proficient in analyzing, debugging and tuning performance of complex system software stacks
- Experience with CPU server system workloads and performance analysis
- Familiarity with CUDA programming and/or GPUs
- Experience with HPC or large-scale computing environments
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
NVIDIA is searching for a highly motivated, technical engineer to join the Tegra system-on-chip (SoC) software organization. You will work on key aspects of our ARM SW ecosystem and system software architecture. With a targeted charter to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips.
What you will be doing:
Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution.
Review architectural performance bottlenecks for various system wide work loads. Identify HW/SW policies to drive performance and performance/watt leadership.
Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.
Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors.
Influence and drive full-stack adoption of performance optimizations and standard methodologies across NVIDIA SW products & OSS SDKs
What we need to see:
BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).
6+ years of relevant computer architecture or SW development experience.
Proven leadership skills and strong ownership on past projects.
Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs.
Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.
Strong stills in performance analysis, data analysis and performance optimization.
Ways to stand out from the crowd:
Deep expertise in ARM architecture and SW ecosystem.
Proficient in analyzing, debugging and tuning performance of complex system software stacks.
Experience with CPU server system workloads and performance analysis.
Familiarity with CUDA programming and/or GPUs.
Experience with HPC or large-scale computing environments.
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.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.