Used Tools & Technologies
Not specified
Required Skills & Competences ?
Software Development @ 4 Docker @ 4 Kafka @ 4 Linux @ 7 Python @ 7 Distributed Systems @ 4 Machine Learning @ 4 Communication @ 4 Parallel Programming @ 4 Hadoop @ 4 QA @ 7 Agile @ 4 CUDA @ 4Details
We are looking for a Senior Software Development Engineer in Test to join our Compute CUDA Quality Assurance team for NVIDIA's Enterprise SWQA release schedules. Are you passionate about automation development, test and validation infrastructure? Do you excel using AI tools to aid in solving complex issues? We'd love to have your skills on the team!
Responsibilities
- Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms including Tesla GPUs, NVIDIA turnkey systems, and OEM systems.
- Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing, and day-to-day assistance.
- Develop a robust test infrastructure incorporating advanced AI tools to enhance testing capabilities and streamline operations for more efficient and accurate results.
- Improve code coverage, elevating the overall quality and reliability of testing processes.
- Develop roadmaps prioritizing software development schedules for the full life cycle of tool development, testing, and deployment.
- Collaborate across teams to identify new features and lead developers in definition, automation implementation, and productization of features in a timely manner.
- Build and operate key components of automation framework infrastructure; lead and develop automation support; participate in automation of manual test cases.
- Focus on efficient customer experience by improving usability and performance.
- Test both software functionality and internal code/structure, and run regression tests for existing CUDA/Driver features.
- Work in a dynamic agile software development team with very high production quality standards.
Requirements
- BS or MS in Engineering (MS preferred) or equivalent experience.
- 7+ years testing software development cycle.
- Strong knowledge of embedded systems, Linux, Python, C, C++.
- Industry experience with AI tools for automation and test plan development directly applied to daily tasks.
- Strong technical skills and deep understanding of orchestration & automation systems, data centers, and cloud architecture.
- Excellent communication and planning skills.
- Deep knowledge in QA methodology focused on attention to detail.
- Knowledge in cluster and cluster management.
- Experience developing test strategies, high-quality test plans, and test execution.
- Proficient in building test setups and fine-tuning in hardware and software.
Ways To Stand Out From The Crowd
- Experience testing and validating large-scale distributed systems, leading projects, and liaising across functional teams.
- Background with various cloud technologies (Cloud Stack/Open Stack/Mesos/Hadoop/Kafka) and virtualization infrastructure software (Xen, KVM).
- Experience with containers (Docker).
- Background with parallel programming, ideally CUDA C/C++ and OpenACC.
- Experience with machine learning, artificial intelligence, and computer vision.
NVIDIA is considered one of the technology world’s most desirable employers with brilliant and talented people. If you’re creative and autonomous, we want to hear from you!
Salary and Benefits
The base salary range is 168,000 USD - 264,500 USD. The base salary will be determined based on location, experience, and pay of employees in similar positions. Eligible for equity and benefits.
NVIDIA is an equal opportunity employer committed to fostering a diverse and inclusive work environment.