What You Will Be Doing

• Create the tools and frameworks to execute the behavioral tests for driving scenarios of Autonomous Vehicles software.
• Embed in Autonomous Vehicle teams and cloud platform teams and deeply understand AV needs on a technical level. Use this expertise to onboard NVIDIA partners onto the AV platforms.
• Craft solutions for the next generation of software development and debugging platforms using real and synthetic / simulated datasets for autonomous driving.
• Collaborate with different AV software groups and design teams to understand and develop software tools to analyze errors, KPIs, drive metrics, etc.
• Analyze complex technical issues and build, develop, and deploy reusable, generalized, and customized solutions that integrate our AI platform.
• Deliver rapid iterations of software based on user feedback and metrics.
• Build scalable distributed systems, compute and data pipelines, and web applications that help index, mine, transform, analyze, develop, and debug deep learning datasets and applications.
• Collaborate across org boundaries with a diverse set of hardware and software engineers.
• Showcase your creativity and technical excellence to realize the future of self-driving cars!
  
  

What We Need To See

• Bachelors or master's in computer architecture, Computer Science, Electrical Engineering, Mathematics, or related field.
• 8+ years of proven experience in designing and developing production level and enterprise scale software that includes distributed backend systems and web application development.
• 8+ years of prior experience deploying, upgrading, migrating, and driving user adoption of sophisticated enterprise scale systems.
• Proven software and solutions development background and proven ability demonstrate complex new technologies.
• Strong problem solving and debugging skills.
• Possess advanced programming skills to build debug and tune distributed storage and compute systems, Linux internals, backend services, microservices, web technologies.
• Strong programming skills with hands-on coding expertise.
• A specialist programmer in Python, Go, C++ or equivalent.
• Strong programming background that incorporates methodologies like data structures, design patterns, OOP, and test driven development.
• Well versed in agile methodology.
• Comfortable with a customer focused and high paced environment that includes dealing with ambiguity and agility.
• Highly motivated with strong interpersonal skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies.
  
  

Ways To Stand Out From The Crowd

• A go getter attitude to dive deeper and understand technical requirements.
• Experience with autonomous vehicles' domain, standards, and processes.
• Practice with Python SDKs, Python packaging, cross language bindings (C++/Python) and/or the Bazel build system.
• Experience in working with complex software systems on Linux.
• Strong understanding of Docker and orchestration systems such as Kubernetes.
• Enthusiasm to collaborate and build supporting development infrastructure like CI/CD and DevOps.
• Distributed system, design skills and ETL mechanism in distributed system
  
  

With highly competitive salaries and a comprehensive benefits package, Nvidia is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative computer scientist/engineer with a real passion for distributed systems and autonomous driving, we want to hear from you.