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We are seeking a highly motivated and skilled Senior Full-Stack Software Engineer to be a core contributor to our web-based platform. This platform is critical for configuring autonomous driving scenarios and generating synthetic data at scale for model training.

Working directly under the mentorship of the lead engineer, this role requires deep hands-on expertise across modern web frontend, scalable backend services, and cloud deployment practices. The Senior Engineer will be responsible for implementing robust features, ensuring code quality, and contributing to the operational stability of the platform.

What you will be doing:

+ Frontend UI Development Mastery: Lead the hands-on development of the platform's user interface. This includes architecting state management, optimizing rendering performance, and building reusable component libraries to support complex scenario configuration and high-frequency data visualization.

+ Feature Development: Build, develop, and deliver high-quality, full-stack features from concept through deployment, ensuring alignment with the architectural vision established by the Tech Lead.

+ Code Implementation: Write clean, performant, and maintainable production code for both frontend interfaces (using modern frameworks) and distributed backend services (using Python/Go).

+ System Integration: Implement and manage integrations with core APIs (gRPC and REST) and data infrastructure (SQL, AWS S3, Kratos tables) to support high-frequency data flows.

+ Help maintain and improve CI/CD pipelines in GitLab and Jenkins. Support the deployment and upkeep of containerized services managed by Docker and Kubernetes/Helm.

+ Code Quality: Actively participate in the code review process, upholding and enforcing the high coding and performance standards set by the Tech Lead.

+ Technical Problem Solving: Identify, debug, and resolve complex technical issues, performance bottlenecks, and operational incidents in production environments.

+ Collaboration: Work closely with the Tech Lead and multi-functional teams (ML Engineers, Product Managers) to accurately estimate, plan, and implement project work.

What we need to see:

+ Master's degree (M.S.), or a Bachelor's degree (B.S.) in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field (or equivalent experience).

+ Minimum 10+ years of hands-on experience developing and deploying scalable full-stack web services in a production cloud environment.

+ Frontend Expert: Deep expertise and proven track record in a modern frontend framework (e.g., React, Vue, Angular), focusing on building complex, scalable, and highly performant data-intensive UIs.

+ Mastery of TypeScript and JavaScript for robust client-side development and state management architecture.

+ Proven proficiency in developing backend systems that handle high volume and growth using Python and/or Go.

+ Hands-on experience implementing and consuming APIs built with Protocol Buffers, involving both service-to-service communication and HTTP-based endpoints.

+ Solid practical experience with containerization using Docker and exposure to orchestration tools like Kubernetes and Helm.

+ Experience with cloud services, particularly AWS S3, and familiarity with SQL for data management.

+ Demonstrated knowledge of CI/CD practices along with experience using source control platforms like GitLab.

+ Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints.

Ways to stand out from the crowd:

+ Familiarity with data querying platforms such as Apache Druid, ClickHouse, or Elasticsearch.

+ Experience configuring and deploying containerized applications that leverage GPUs (e.g., NVIDIA Container Toolkit).

+ Exposure to deploying large language models or other AI models as service endpoints.

+ Experience working with large-scale data processing tools like Apache Spark.

+ Basic understanding of authentication services and Linux environments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 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 November 25, 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.