NVIDIA
artificial intelligence computing
SeniorSystemSoftwareEngineer,NvSci
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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