NVIDIA

artificial intelligence computing

SeniorSystemSoftwareEngineer,NvSci

$184–357k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior System Software Engineer, NvSci at NVIDIA. Skills: C/C++, System architecture, Embedded systems. Build NvSci software. Implement NvSci software”

What You'll Achieve.

Crafting NVIDIA's leadership in AI; Enable seamless cross-platform functionality; Enable efficient integration with user applications; Enable efficient integration with hardware acceleration libraries; Enable efficient integration with frameworks; Improve APIs; Simplify system architecture; Enhance software flexibility; Enhance software maintainability; Elevate developer experience; Optimize performance; Improve the potential of crucial middleware NvSci APIs; Meet stringent automotive safety and security standards; Improve software reliability; Improve software maintainability; Improve software scalability

Industry & Context.

artificial intelligence computing
Problems you'll solve

Problem-solving skills; track record of driving solutions from concept to production

What They're Looking For.

Must Have

BS, MS in CS/CE/EE or related engineering field or equivalent experience, 8+ years of relevant software development experience, Proficiency in C/C++, Experience in system architecture, Experience in embedded systems, Experience building complex systems with multiple threads, CPUs, accelerators, and chips, understanding of Operating Systems, Excellent written and verbal communication skills, ability to clearly convey complex technical concepts, Problem-solving skills, track record of driving solutions from concept to production, Ability to work effectively in cross-functional, distributed teams

What You'll Do.

Implement NvSci software

Enable cross-platform functionality

Enable integration with hardware

Collaborate with collaborators

Simplify system architecture

Enhance software flexibility

Enhance software maintainability

Elevate developer experience

Improve middleware API potential

Lead feature development

Meet safety standards

Meet security standards

Align with product roadmaps

Align with release cycles

Research engineering practices

Integrate automation tools

Integrate generative AI

How You'll Work.

Team & Collaboration

Collaborate with internal and external collaborators; Ability to work effectively in cross-functional, distributed teams

Communication Scope

Excellent written and verbal communication skills; Ability to clearly convey complex technical concepts

Full Job Description

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 NVIDIA, a leader in artificial intelligence computing, where our innovations are revolutionizing self-driving cars, machine learning, supercomputing, gaming, and visualization. As a Senior System Software Engineer on the NvSci team, you will play an integral role in crafting NVIDIA's leadership in AI. **What you 'll be doing:** * Build and implement next-generation NvSci software to enable seamless cross-platform functionality and efficient integration with user applications, hardware acceleration libraries, and frameworks on various SoCs. * Collaborate with internal and external collaborators to improve APIs, simplify system architecture, enhance software flexibility and maintainability, and elevate developer experience. * Evaluate trade-offs in resource-constrained environments and work closely with hardware and firmware engineers to optimize performance and improve the potential of crucial middleware NvSci APIs. * Lead end-to-end feature development for NvSci that meets stringent automotive safety and security standards (ISO 26262, ASPICE, ISO 21434), aligning with product roadmaps and release cycles. * Research and integrate sophisticated software engineering practices, automation tools, and generative AI technologies to improve software reliability, maintainability, and sca

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