Software QA Test Developer

Job Description

Do you enjoy working with Autonomous Systems of Automated Driving If yes, We are looking for extra ordinary talent with passion for innovation and quality and having ability to demonstrate high standards in the delivery areas. This position will be part of a dynamic crew that test and maintains the quality of complex heterogeneous computing systems that power state of the art automotive products used in self-driving cars. As a Test Development Engineer, you will need to quickly develop domain expertise (SME) knowledge on the state-of-the-art Cloud based autonomous vehicle simulation technology. As a member of this core team, you will be working closely with highly competitive and motivated engineers. This role will also require to frequently collaborate with other module leads & release managers. Join us at forefront of this ground-breaking autonomous vehicle revolution. You can read more about it here : https://www.nvidia.com/en-au/self-driving-cars/What youll be doing:
• Work on Cloud based Tests and Infra tools development role.
• Design and setup Cloud HIL configuration and perform deployment of complete stack, automate the process using Nvidias Test framework.
• Define and develop comprehensive test strategies and test procedures based on functional and test design specifications of Scenario Generation Applications.
• Participate in review and provide feedback on product feature requirements, specifications, and technical design documents.
• Write python based scripts, execute scenarios and file bugs, provide detailed technical analysis of the bugs filed and prioritize the issue and drive the action, publish weekly status report.
• Should be confident to take good technical presentations and suggest for continuous test improvement.
What we need to see:
• B.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE
• At least 3 years of professional experience in Embedded Software Validation preferably in the field of Automotive/ADAS and/or Robotics domain.
• Experience in ADAS development and validation of Scenarios for Hardware-in-Loop (HIL) Simulation tests.
• Experience in Python programming - Mandatory.
• Proven knowledge of Linux based operating systems like Ubuntu.
• Experience with Gitlab/GitHub, Jira tools
• Strong experience with containerization technologies such as Docker and container orchestration tools like Kubernetes. Deep knowledge of AWS, Azure or other CSPs.
• Deep understanding of Service Oriented Architecture and RESTful APIs.
• Should be good analytical skill, an excellent teammate, with passion towards new technology/trends.
Ways to stand out from the crowd:
• Hands-on experience in HIL/SIL setup and Testing. Knowledge of autonomous driving (ADAS) simulator (IPG Car Maker, Tass Prescan, dSPACE/NI HIL tools etc.)
• Exposure to and interest in Open Source frameworks, ROS, and cloud automation tools like Ansible etc.
• Any certification on Machine learning, Cloud Kubernetes application deployment, AWS cloud domain will be huge plus.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. With competitive salaries and a generous benefits package, we are widely considered to be one of the world s most desirable technology employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you.,

Keyskills :
test designtest proceduresawsmachine learningopen source