Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API @ 4
AWS @ 4
Algorithms @ 7
CI/CD @ 3
Data Pipelines
Data Structures @ 7
Design Patterns @ 7
Distributed Systems
ElasticSearch @ 4
Machine Learning
MongoDB @ 4
MySQL @ 4
Observability @ 3
Python @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA’s VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that improve their everyday work. The team works across build automation, machine learning, databases, web applications, on-premises computing, and cloud workloads.
Responsibilities
- Design and develop innovative AI-driven web products to solve big data challenges in chip design.
- Build high-performance APIs, data pipelines, backend services, and platform infrastructure in a distributed systems environment.
- Own the technical strategy for broad and complex challenges.
- Collaborate closely with product and engineering teams to translate high-level requirements into actionable solutions.
- Work as an engineering generalist across frontend, backend, and product challenges.
- Develop the skills needed to solve problems as priorities and requirements evolve.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 6+ years of professional experience in full-stack development.
- Strong fundamentals in data structures, algorithms, and software design patterns.
- Experience building web applications with modern frameworks, tooling, and design libraries; ReactJS is preferred.
- Experience building scalable APIs and backend systems; NodeJS and/or Python are preferred.
- Experience with data storage solutions and query optimization, such as MySQL, MongoDB, Elasticsearch, and AWS S3.
- Familiarity with orchestration, containerization, CI/CD, and observability methodologies.
Preferred Qualifications
- Ability to thrive in a fast-paced environment where priorities shift and rapid delivery matters.
- Passion for test-driven development and engineering best practices.
- An eye for designing functional and intuitive user experiences.
- Eagerness to learn and perform beyond previous experience and expertise.
Benefits
- Base salary range of $184,000–$287,500 for Level 4.
- Base salary range of $224,000–$356,500 for Level 5.
- Eligibility for equity and benefits.
- Salary is determined based on location, experience, and the pay of employees in similar positions.
Applications will be accepted at least until August 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
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