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SalaryWe are looking for a Senior Software Engineer with SDK and CLI experience to join our Autonomous Vehicles (AV) Infrastructure group! Come join NVIDIA's AV Infrastructure team to develop innovative MLOps infrastructure for our advanced autonomous driving platform. Together, we will help advance NVIDIA's capacity to build and deploy leading solutions for a broad range of AI-based applications. To ensure that our fleet of autonomous vehicles scalably record, analyze and train our pioneering machine learning models, we need to stay ahead of our engineering partners. We need someone who has built SDKs and CLI components that handle petabyte-scale datasets or is able to map their prior experience to develop systems that handle such scale. We are either directly involved or in collaboration with our partner teams, engaged in all the data lifecycle activities for an MLOps pipeline. Functionally, we are responsible for data modeling, schema design, dataset curation, search, discovery and annotations.
To ensure we deliver on the expectations of our customers, our solutions must be scalable and performant. Our approach must embrace engineering and operational excellence practices across the stack. You should be someone who can ensure that the primitives which make our platform build, scale, and ship optimally, including our SDKs for service-to-service communication and CLIs for human users. You will embed in one of our engineering teams that has high visibility and work on both product-focused and infrastructural roles.
What You'll Be Doing
- Develop features and enhancements to the portfolio of SDK and CLI products for the AV Infrastructure teams.
- Use your Python API and SDK design skills to elevate the developer experience.
- Apply your Go language skills to develop user-friendly CLIs and establish best practices to allow for a community-ownership model of commands.
- Contribute to the development of Deep Learning software infrastructure for large scale image and video processing tasks and lead major technical projects for the team. The range of applications you'll work on includes automotive driver assistance, autonomous navigation, and robotics.
- Be a part of a dynamic product and customer focused team. Your expertise, creativity and leadership will help bring the future of self-driving cars to everyone.
- Join the user-support rotation and help the team pay down technical debt and improve reliability.
What We Need To See
- 8+ years of relevant work experience in high-performance/distributed-computing owning and delivering critical components.
- A BS or MS in Computer Science, Electrical Engineering, or equivalent experience.
- Experience with build systems such as Bazel, CI/CD pipelines, and telemetry systems.
- Track record of elevating teams and increasing their velocity by helping others.
- Experience mentoring junior developers.
- Good understanding of highly parallel compute, storage, and software architectures.
- Ability to work independently with minimal guidance and a drive to elevate the developer experience.
- Willingness to learn and prototype new directions/technologies and propensity to develop standard processes for org-wide sharing.
- Excellent communication and organization skills.
- Self-motivation, outstanding collaboration with peers and users, and a customer focused attitude.
Ways To Stand Out Of The Crowd
- Familiarity with MLOps platforms such as Flyte, MLFlow, or similar.
- Previous experience with adding authorization and security capabilities to SDKs/CLIs.
- Hands on scaling up and optimizing HPC, computer vision or deep learning training pipelines to terabyte scale datasets.
- Success working in highly heterogeneous environments with multiple teams using different code repositories and development languages.
- Proficiency in both Python and Go with broad familiarity with their standard libraries, idioms, and best practices.
You will also be eligible for equity and
benefits
. NVIDIA accepts applications on an ongoing basis.
