Senior Software Solutions Architect - NVIS
NVIDIA · Tel Aviv-Yafo, Tel Aviv District, Israel
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- On site
- Full-time
- $150,000 / year
- Tel Aviv-Yafo, Tel Aviv District, Israel
Job highlights
- Deploy AI/ML solutions for customers.
- Integrate NVIDIA software into ML ops.
- Resolve complex cloud-native issues.
- Collaborate with internal and external teams.
- Develop integration tools and scripts.
About the role
About NVIDIA
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.At NVIDIA, we are working with the latest technology, pushing boundaries and redefining what’s possible in the world of AI. Our team is passionate, driven, and committed to solving the most challenging problems with innovative solutions. As a Software Solution Architect for NVIS, you will play a crucial role in helping us build and deploy world-class AI and machine learning solutions. Join us in Israel and be part of a team that is making a significant impact on the future of computing!
What You'll Be Doing
- Helping our customers deploy cloud-native software stacks, such as NVIDIA AI, to embed guidelines in machine learning operations.
- Collaborating closely with infrastructure admins, data scientists, and ML engineers to deploy tools like NVIDIA Run:ai and NVIDIA Mission Control.
- Integrating NVIDIA software into customers’ existing ML ops environments and developing scripts to streamline these processes.
- Diagnosing and resolving customer issues within sophisticated cloud-native environments, applying profiling and analysis tools to improve deep learning model performance.
- Working with internal collaborators, including Pre-Sales Solution Engineers, Account Managers, and Product teams, to understand business requirements and provide technical insights.
- Developing new tools and scripts to facilitate seamless integration with other Data Science tools.
What We Need To See
- A minimum of 5 years of experience in a customer-facing role.
- B.Sc in Computer Science or equivalent experience.
- Proven experience presenting to technical audiences and crafting technical content for developers.
- Proficiency in Linux/Unix Operating Systems.
- Hands-on experience with Kubernetes and containerization technologies like Docker.
- Demonstrated experience in software development.
- Certification as a Kubernetes Administrator (CKA).
- Experience with AI and ML tools.
Key skills/competency
- Software Solutions Architect
- NVIDIA AI
- Machine Learning Operations (MLOps)
- Cloud-Native Software Stacks
- Kubernetes
- Docker
- Linux/Unix
- AI/ML Tools
- Technical Presentations
- Customer-Facing Role
Skills & topics
- Software Solutions Architect
- NVIDIA
- AI
- Machine Learning
- Cloud-Native
- Kubernetes
- Docker
- Linux
- MLOps
- Customer Solutions
How to get hired
- Tailor your resume: Highlight your 5+ years in customer-facing roles, B.Sc in Computer Science, and software development experience. Emphasize your proficiency in Linux/Unix, Kubernetes, Docker, and AI/ML tools, along with any CKA certification.
- Showcase technical expertise: Prepare to present technical content to developers and discuss your experience with cloud-native stacks and MLOps. Demonstrate your problem-solving skills in complex environments.
- Understand NVIDIA's mission: Research NVIDIA's impact on AI, accelerated computing, and their commitment to innovation. Align your experience with their goal of defining the next era of computing.
- Prepare for technical interviews: Expect questions on Linux, Kubernetes, Docker, software development, and AI/ML concepts. Be ready to discuss customer scenarios and integration challenges.
Technical preparation
Master Kubernetes and Docker. ,Strengthen Linux/Unix administration skills.,Practice scripting for automation.,Review AI/ML concepts and tools.
Behavioral questions
Describe a complex customer problem solved.,How do you present technical info clearly?,How do you handle integration challenges?,How do you collaborate with diverse teams?
Frequently asked questions
- What is the primary focus of the Senior Software Solutions Architect role at NVIDIA NVIS?
- The Senior Software Solutions Architect at NVIDIA NVIS will focus on helping customers deploy world-class AI and machine learning solutions, particularly by integrating NVIDIA's software stacks into their existing cloud-native and ML operations environments.
- What technical skills are essential for this NVIDIA Software Solutions Architect position?
- Essential technical skills include proficiency in Linux/Unix operating systems, hands-on experience with Kubernetes and Docker, demonstrated software development experience, and familiarity with AI/ML tools. A CKA certification is also highly valued.
- Does NVIDIA offer competitive compensation for this Senior Software Solutions Architect role?
- Yes, NVIDIA is widely recognized as a desirable employer and offers highly competitive salaries and a comprehensive benefits package for its employees.
- What does it mean to work in a 'customer-facing' role at NVIDIA?
- A customer-facing role at NVIDIA, as required for this position, means you will directly interact with clients to understand their needs, deploy solutions, resolve issues, and provide technical insights and support for NVIDIA's products and services.
- What is the expected educational background for an NVIDIA Software Solutions Architect?
- A Bachelor of Science (B.Sc) in Computer Science or equivalent experience is required. This is complemented by at least 5 years of relevant professional experience.
- How does this role contribute to NVIDIA's broader goals in AI?
- This role directly contributes to NVIDIA's AI goals by enabling customers to successfully deploy and utilize NVIDIA's AI and machine learning solutions, thereby pushing the boundaries of AI and defining the next era of computing.
- What kind of collaboration is expected in this Senior Software Solutions Architect role?
- You will collaborate closely with infrastructure admins, data scientists, ML engineers, Pre-Sales Solution Engineers, Account Managers, and Product teams to ensure successful customer deployments and provide valuable technical insights.