- Elevate the deployment of comprehensive simulation to assess autonomous vehicle performance, improving system scalability and ease of use, refining test architecture and developing pivotal tools, such as CI/CD & simulation pipelines.
- Propel the creation of innovative simulation features that expedite debugging, testing, and assessment of Perception, Prediction, Planning and Control (P3C) software, including tools for algorithm replay and interaction with simulated agents.
- Craft and calibrate performance metrics for P3C software, contributing to product integrity in terms of safety, latency, and software fortitude. Diligently supervise and scrutinize the critical metric performance of end-to-end systems and components across sophisticated scenarios, ensuring accuracy and consistency in challenging real-world scenarios.
- Partner with autonomous vehicle component teams to comprehend their requirements and steer the technical direction for test tooling/scenario development, focusing on enhanced usability within our simulation environment.
- Partner with in-house log replay and simulation team to synchronize autonomous vehicle development needs with innovative, end-to-end simulation capabilities, augmenting modules that mirror real-world driving experiences, and fortify the reliability of our simulation platform.
- Partner with the dataset team to drive the automation of dataset curation and GT labeling processes to bolster critical metric/KPI computation.
- Analyze intricate technical challenges across the stack, focus on reproducing issues encountered during road testing and independently pursue solutions.
- BS, MS, or higher degree in Computer Science, Electrical Engineering, Robotics, or a related field or equivalent experience.
- At least 5+ years of development experience, preferably in the field of simulation automation and autonomous systems.
- Proven track record in ADAS, autonomous driving, replay testing, or simulation environments. Experience in developing/using autonomous vehicle simulators and their workflows, especially model-based development and testing workflows.
- A validated grasp of software testing methodologies, including but not limited to unit, integration, and end-to-end testing, paired with hands-on experience in automated testing frameworks and tools.
- Proficiency in programming and scripting languages with Python, C++, Shell, Typescript.
- Proficiency in CI/CD methodologies, applying tools such as Jenkins, GitLab CI, and savvy in build systems like CMake, Bazel.
- Familiar with Docker, Kubernetes, and other containerization and orchestration platforms.
- Basic understanding of data science and SQL language.
- Passion for crafting software solutions that amplify efficiency and scalability.
- Experience in the development or evaluation of Deep Neural Network (DNN) models and/or other ADAS/Autonomous Vehicle modules.
- Outstanding leadership and interpersonal abilities, with a proven track record of fostering alignment within expansive organizations.
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Senior Software Engineer - Beijing, 中国 - NVIDIA
描述
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Simulation. NVIDIA is also widely considered to be one of the technology world's most desirable employers.
As a Test Tooling Engineer for Advanced Driver Assistance Systems (ADAS), you will drive to refine and automate the replay and simulation test-based routines and accelerate the engineering flywheel to safeguard the quality and on-time delivery of our product.
What you'll be doing :
What we need to see:
Ways to stand out from the crowd:
NVIDIA is committed to encouraging 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.
We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, hardworking and self-motivated, we want to hear from you
#deeplearning
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