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Skills: Efficient Deep Learning, Post-training Model Optimization, Pruning, Quantization, Neural Architecture Search
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Santa Clara, California, United States · Remote OK
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Serve as a Solutions Architect for the GPU Private Cloud team to optimize software development workflows and implement end-to-end CI/CD systems. Lead software development projects and identify performance bottlenecks to improve the speed and cost efficiency of AI testing systems.
Requirements
Requires a BS in EE/CS or equivalent with 12+ years of systems software development experience, including at least one year in AI. Proficiency in Java, Python, and cloud technologies like Kubernetes and Docker is essential.
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.
NVIDIA is looking for a Senior Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the efficiency of thousands of NVIDIA's software engineers worldwide. The cloud hosts various machines and devices with operating systems like Windows, Linux, and Android. It supports hardware platforms including NVIDIA GPUs and Tegra Processors. It delivers unified CI/CD solutions and cloud-based software development. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?
What you'll be doing:
Serve as a Solutions Architect part of GPU Private Cloud team used by thousands of NVIDIANs globally for interactive development, centralized CI / CD and QA testing, with an opportunity to positively impact all of the SW development teams across NVIDIA.
Evaluating, identifying and developing software solutions to optimize critical software development workflows across various organizations within Nvidia.
Architecting, Implementing & supporting end-to-end CI/CD system using open-source and Nvidia proprietary software.
Customer (NVIDIA Internal development teams) onboarding to Private cloud infrastructure with a good discovery of the use case and available solutions within the cloud
Identify performance bottlenecks and optimize the speed and cost efficiency of AI development and testing systems.
Leading software development projects and technically direct a team of brilliant engineers and guide them to provide efficient and impactful solutions.
Looking for problems within software systems and resolving the issues
Craft and implement critical metrics using various analytics methods and dashboards
What we need to see:
BS EE/CS or equivalent experience with 12+ years of systems software development including at least 1 year dedicated to developing/exploring AI.
Experience of maintaining cloud infrastructure and highly available production environment.
Strong programming and software development skills in JAVA, Python, Shell-script along with good understanding of distributed systems and REST APIs.
Experience in working with SQL/NoSQL database systems such as MySQL, Cassandra, MongoDB or Elasticsearch.
Excellent knowledge and working experience with Docker containers and Virtual Machines.
Good background of Cloud technologies like: OpenStack, Docker, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git, Perforce, JFrog, Kafka.
Ability to work across organizational boundaries effectively to improve alignment and productivity between teams in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Depth in AI, Machine Learning and Deep Learning algorithms and techniques.
Strong collaborative and interpersonal skills, a consistent record of guiding, evangelizing and influencing senior leaders across a large company in dynamic environments, without formal authority.
Experience developing large-scale software systems using modular architecture under real-time performance requirements.
Background in designing high-performance, scalable software systems with a strong focus on hardware cost optimization.
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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 16, 2026.
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.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
How much do Data & Analytics jobs in Santa Clara, CA pay?
Based on 888 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $131k–$334k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Santa Clara, CA right now?
There are currently 969 open data & analytics positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Santa Clara, CA?
Companies currently hiring include NVIDIA, Applied Materials, ServiceNow, Pure Storage, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Santa Clara, CA?
Yes — 264 of the 969 open data & analytics positions offer remote or hybrid work (56 remote, 208 hybrid).
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Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.