英伟达Senior Software QA Engineer - Automotive Vehicles
任职要求
• 8+ years in the autonomous driving industry, OEM, or Tier 1, has test and/or program management experience on complex, large-scale programs in the field of autonomous driving. • Having mass production experience in rolling out highway/urban ADAS functions (Parking and driving) for city expansion across multiple carlines, participation in at least one mass-produced autonomous driving project with industry-leading results. • A dedicated professional passionate about product delivery, with strong skills in multitasking, partner influence, communication, presentation, consensus-building, and cross-functional team development. • Experience with data analysis and issue triage, and proficiency in tools for efficiency improvement. • Practical experience working in vehicles, using CAN or other equipment to tackle and debug vehicle issues. • Ability to thin…
工作职责
• Participate and be responsible to prioritize the scaling test for the Autonomous Vehicle project for the Test team. Handle the progress of the defined program landmarks and coordinate meetings to address any deviations. • Work with technical and engineering teams on critical issues, driving implementation and process improvements across the project. • Supervise and categorize test events from the scaling test, raising them as needed. Make sure that software quality stays optimized by supervising key issues and trends in relevant metrics. • Collaborate closely with engineering, quality, operations, and mapping teams to articulate needs and build comprehensive plans accordingly. • Regularly communicate program status and key issues to PM on a daily/weekly basis. • Lead, manage, train, and provide mentorship to related contractors or junior colleagues.
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.We are now looking for a Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What you’ll be doing: • Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as BlueField DPU (SOC/ASAP/VDPA/VFE/VirtIO) • Automate test cases and maintain the automation scripts. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, and improve test plans. • Assist AE team to repro customer issue locally.
NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.We are now looking for a Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. What you’ll be doing: • Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as BlueField DPU (SOC/ASAP/VDPA/VFE/VirtIO) • Automate test cases and maintain the automation scripts. • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, and improve test plans. • Assist AE team to repro customer issue locally.
NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you. Our team is mainly focusing on CUDA automation testing, CUDA Safety and CUDA test development areas, and we are now looking for a Senior CUDA Test Development Software Engineer. What you’ll be doing: • Design and Implement unit, integration, and API tests for CUDA driver and library • Design and implement tests for new features of CUDA driver and library • Automate CUDA tests, design test plan and enable them in automation testing infrastructure • Triage test results, isolate test failures and improve test coverage