苹果Senior Software Engineer, Test Frameworks

For more than 25 years, NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing—and now, we’re defining the next era of AI-powered computing. From powering breakthroughs in autonomous vehicles to building the next wave of infrastructure, we grow with innovation motivated by the world’s best talent. Monitor Code Coverage and perform Static Analysis (Coverity) for NVIDIA’s AV software stack. The position entails hands-on engineering tasks, such as composing strategies, building automation, working with developers, and ensuring safety-critical systems meet quality and compliance standards. What you’ll be doing: Code Coverage Strategy & Tooling• Define, implement, and own the AV software code coverage strategy (statement, branch, MC/DC) for unit, integration, and safety reporting. • Automate coverage collection in Bazel-based builds and integrate into CI/CD pipelines (GitLab/Jenkins/GitHub Actions). • Build dashboards and reporting pipelines for developers, safety engineers, and auditors. Coverity Static Analysis• Operate incremental and full scans, automate pipelines, and implement quality gates. • Triage, classify, and handle findings—including waiver workflows and procedures that adhere to MISRA C/C++ and CERT standards. Developer & Collaborator Engagement• Partner with AV developers to resolve findings, avoid false positives, and improve adoption of coverage and static analysis practices. • Coordinate with safety, security, and compliance participants to uphold reporting consistency and audit readiness. Innovation & AI Integration• Explore ways to apply AI/LLMs for accelerating triage, generating reports, and improving developer workflows (e.g., editor plugins, code assistants).

For more than 25 years, NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing—and now, we’re defining the next era of AI-powered computing. From powering breakthroughs in autonomous vehicles to building the next wave of infrastructure, we grow with innovation motivated by the world’s best talent. Monitor Code Coverage and perform Static Analysis (Coverity) for NVIDIA’s AV software stack. The position entails hands-on engineering tasks, such as composing strategies, building automation, working with developers, and ensuring safety-critical systems meet quality and compliance standards. What you’ll be doing: Code Coverage Strategy & Tooling• Define, implement, and own the AV software code coverage strategy (statement, branch, MC/DC) for unit, integration, and safety reporting. • Automate coverage collection in Bazel-based builds and integrate into CI/CD pipelines (GitLab/Jenkins/GitHub Actions). • Build dashboards and reporting pipelines for developers, safety engineers, and auditors. Coverity Static Analysis• Operate incremental and full scans, automate pipelines, and implement quality gates. • Triage, classify, and handle findings—including waiver workflows and procedures that adhere to MISRA C/C++ and CERT standards. Developer & Collaborator Engagement• Partner with AV developers to resolve findings, avoid false positives, and improve adoption of coverage and static analysis practices. • Coordinate with safety, security, and compliance participants to uphold reporting consistency and audit readiness. Innovation & AI Integration• Explore ways to apply AI/LLMs for accelerating triage, generating reports, and improving developer workflows (e.g., editor plugins, code assistants).

We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team.The position is in NVIDIA AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s AI software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. • Plan/design/execute/report/automate test plan/test case/test reports. • Manage bug lifecycle and co-work with inter-groups to drive for solutions. • Automate test cases and assist in the architecture, crafting and implementing of test frameworks. • In-house repro and verify customer issues/fixes.

We are looking for a Software Test development engineer in NVIDIA’s Deep Learning SWQA team. The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: • Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. • Plan/design/execute/report/automate test plan/test case/test reports. • Manage bug lifecycle and co-work with inter-groups to drive for solutions. • Automate test cases and assist in the architecture, crafting and implementing of test frameworks. • In-house repro and verify customer issues/fixes. • 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.