Urgent! AI-Accelerated System Software Engineer Job Opening In Santa Clara – Now Hiring NVIDIA
We're looking for AI-accelerated programmers to help us engineer new paradigms in productivity infrastructure and platforms.
If you feel one with the machine when you vibe-code while retaining a deep understanding of the fundamentals of programming, you can harness the power of AI Agents.
The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building tools and platforms that supercharge their everyday work.
From workflow automation to machine learning, and ETL pipelines to web applications, our team handles it all.
We are modernizing the entire silicon engineering stack, and no prior experience in chip design is expected for this role.
If you have a strong interest in building high-quality, long-lasting systems, you'll fit right in!
What you will be doing:
Design, develop and deliver core components of our next-generation engineer productivity platforms.
+ Envision, build, deploy and improve highly scalable systems at the speed of thought
+ Disambiguate high-level requirements into actionable Agentic AI tasks with clear vetting and ownership of output
+ Jump between microservices and monoliths, on-prem and cloud-compute as needed to build efficient products
+ Convert legacy codebases into modern powerhouses with parallelized AI migration
+ Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks
+ Be adept and flexible to changing priorities and updating your codebases as business needs evolve
What we need to see:
Proficiency in thought-to-code and rapid understanding of existing or AI-generated code to debug and identify pathways to improve performance, resilience and observability.
+ M.S. in EE/CS (or equivalent experience)
+ Minimum 5 years developing large-scale software applications in an enterprise engineering environment using Python
+ Internalized computer science fundamentals in algorithms/data structures/complexity analyses
+ Rich history of wrangling LLMs (GPT 4o through Claude Opus 4.x) to ship real software
+ Deep, demonstrable intuition of the capabilities and pitfalls of LLM code generation (vibe coding)
+ Track record of shipping and supporting AI-generated code into enterprise engineering applications
Ways to stand out from the crowd:
Core system-engineering skills including the ability to visualize strongly-coupled systems from architecture down to OS and compute.
+ Solid fundamentals of UNIX internals, filesystems, job-scheduling, processes, synchronization, and locks
+ Experience with Perforce, NFS, LSF and running services on managed infrastructure without root/sudo
+ Experience building maintainable software using off-the-shelf tools and open-source libraries to solve feature gaps quickly
+ You've handled your own deployment and infrastructure on a cloud provider and on bare-metal servers
+ Rapid problem decomposition and clear communication when delegating work to AI Agents
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing.
If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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 (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until September 20, 2025.
NVIDIA is committed to fostering a diverse 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.
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Unlock Your AI Accelerated Potential: Insight & Career Growth Guide
Real-time AI Accelerated Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI Accelerated in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 21436 jobs in United States and 359 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in AI Accelerated roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a AI Accelerated System Software Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI Accelerated System Software Engineer Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI Accelerated System Software Engineer Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI Accelerated System Software Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your AI Accelerated System Software Engineer interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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