דרושים Senior Software Program Manager - Auto ב-אנבידיה ב-China, Guangdong Province, Shenzhen

Materials Planner in ourQuick Turn/NPI Materials Organization. The position requiresexceptional materials management skills and supply planningof procurement, planning, and contract manufacturing supply chain inmultinational manufacturing

What you'll be doing:

• Drive board/system level signal and power integrity requirements

• Lead board/system SI/PI design activities, including PCB stackup/material selection, design guide implementation, layout review, and post-layout analysis

• Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB Design teams to design and ensure system SI/PI performance meets expectation before Gerber out, also work closely with Design Validation teams to support SI/PI failure analysis

• Develop novel algorithms & new methodologies to improve SI/PI modeling efforts

• Work with Application Engineering teams to support customers w/ SI/PI questions

• VNA & TDR measurements to support model correlation efforts and improve confidence in design stage

What we need to see:

• MS/BS in EE or equivalent experience

• Minimum 5+ years of experience as a SI/PI engineer

• Deep understanding of electromagnetics, specifically electromagnetic waves including transmission line theory and via properties

• Proficient with HFSS, Sigrity, Hspice, and/or other simulation tools

• Experienced with Cadence Allegro PCB designer and Constraints Manager

• Understanding of high volume manufacturing variations and impact to channel signal integrity

• Exposure to lab measurements including VNA & TDR experience

• Passionate about SI/PI work

• Good written & verbal interpersonal skills in English

Ways to stand out from the crowd:

• Familiarity with NRZ/PAM-4/Duo-binary signaling schemes

• Exposure to interface timing budgets and system modeling

• Familiarity with high-speed I/O design concepts including clock generation, transmitter & receiver design, and equalization schemes

• PDN analyses including model generation and time domain simulation

• Experience w/ Matlab, Python, and C as well as exposure to package design

NVIDIA is seeking a Senior High Performance Computing (HPC) and AI Networking Performance Research and Analysis Engineer to join our Performance group. In this exciting role, you will profile and analyze AI workloads on large GPUs and CPUs scale clusters for distributed Deep Learning LLM training focused on collectives communication and networking. You will interact with many types of hardware and platforms, such as HCAs, Switches, CPUs, GPUs, and Systems. You will develop performance analysis tools and methodologies to dive deeply into the details and understand performance expectations, limitations, and bottlenecks.

What you'll be doing:

• Exploring and researching AI workloads and DL models specifically tailored for large-scale deep learning LLM training on NVIDIA supercomputers and distributed systems focusing on high-performance networking and Nvidia Collective Communications Library (NCCL).

• Benchmarking, Profiling, and Analyzing the performance to find bottlenecks and identify areas of improvement and optimizations, with a strong emphasis on networking aspects.

• Implementing performance analysis tools.

• Collaborating with many teams from hardware to software to provide performance analysis insights.

• Defining performance test planning , setting performance expectations for new technologies and solutions, and working to reach the performance targets limits.

What we need to see:

• B.Sc in Computer Science or Software Engineering or equivalent experience

• 5+ years of experience with high-performance Networking (RDMA, MPI, NCCL, Congestion Control Algorithms)

• Demonstrated Performance Analysis skills and methodologies.

• Experience with NVIDIA GPUs, CUDA library, deep learning frameworks like TensorFlow or PyTorch, combined with expertise in networking collective communication libraries (such as NCCL) and protocols (such as RoCE and RDMA).

• Fast and self-learning capabilities with strong analytical and problem-solving skills.

• Programming Languages: Python, Bash and C languages

• Experience with Linux OS distros.

• Great teammate with good communication and interpersonal skills

Ways to stand out from the crowd:

• In-depth knowledge and experience with AI workloads and benchmarking for distributed LLM training.

• Knowledge in CUDA, and NCCL libraries.

• Knowledge in Congestion Control algorithms.

• In-depth System knowledge and understanding (Intel / AMD / ARM CPUs, NVIDIA GPUs, HCA, Memory, PCI).

• Strong Performance Analysis skills and methodologies using modern tools.

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/GitHubActions).

• 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).

What we need to see:

• BS/MS in Computer Science, Computer Engineering, or related field (or equivalent experience).

• Strong hands-on experience with Coverity setup, administration, and triage.

• Proficiency with code coverage frameworks: gcov/lcov/llvm-cov; VectorCAST experience preferred.

• 7+ yearssolid programming skills in C++ and Python; strong scripting/automation skills (Python, Bash).

• Experience with Bazel build system and CI/CD pipelines(GitLab/Jenkins/GitHubActions).

• Experience with safety standards like ISO 26262, requirements management tools such as Codebeamer and Jama, and development passionate about compliance.

• Strong communication and customer-facing skills—able to explain results, present metrics, and drive adoption with both developers and management.

• Proactive approach with a track record of solving systemic issues in tooling, coverage gaps, and recurring defects.

• Awareness of modern AI tooling (LLMs, code assistants, documentation bots) and a willingness to harness them for productivity gains.

What you will be doing:

• Design and implementfunctional/performancetests for CUDA products, like driver and library.

• Automate CUDA tests, design test plans and integrate into automation testing infrastructure.

• Triage test results, root cause test failures or performance drops, and drive through bugs to fix.

• Develop scripts/tools and optimize workflow to improve efficiency and productivity.

What we need to see:

• MS or PhD degree from a leading university in computer science or a related field.

• At least 3 years of relevant professional experience.

• Excellent QA sense, knowledge, and experience in software testing.

• Rich experience in test case development, tests automation and failure analysis.

• Proficient programmingand debugging skills in C/C++ and Python.

• Comprehensive knowledge of Linux and Windows operating systems.

• Experience in using AI development tools for test plans creation, test cases development and test cases automation.

Ways to stand out from the crowd:

• Excellent English communication and collaboration skills.

• Strong understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.

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/GitHubActions).

• 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).

What we need to see:

• BS/MS in Computer Science, Computer Engineering, or related field (or equivalent experience).

• Strong hands-on experience with Coverity setup, administration, and triage.

• Proficiency with code coverage frameworks: gcov/lcov/llvm-cov; VectorCAST experience preferred.

• 8+ yearssolid programming skills in C++ and Python; strong scripting/automation skills (Python, Bash).

• Experience with Bazel build system and CI/CD pipelines(GitLab/Jenkins/GitHubActions).

• Experience with safety standards like ISO 26262, requirements management tools such as Codebeamer and Jama, and development passionate about compliance.

• Strong communication and customer-facing skills—able to explain results, present metrics, and drive adoption with both developers and management.

• Proactive approach with a track record of solving systemic issues in tooling, coverage gaps, and recurring defects.

• Awareness of modern AI tooling (LLMs, code assistants, documentation bots) and a willingness to harness them for productivity gains.

What you’ll be doing:

• Handling customer complaints

• Performing hand-on failure analysis on system and board product.

• Summarizing findings from analysis and working with cross-functional teams to drive for root cause and corrective actions

• Utilizing data analysis tools for compiling ad-hoc or regular reports on product quality

What we need to see:

• B.Eng. degree or above (Electronics / Computer Engineering related) or equivalent experience

• 5+ years of experience in Product Engineering, Application Engineering / Test field

• Familiar with GPU architecture and technology

• Experienced in board and system level failure analysis and debug

• Familiar with system level test

• Experienced in test equipment bring up

• Verbal and written communication skills in English and Mandarin

• Excellent problem-solving skills

Ways to stand out from the crowd:

• Knowledge of Board FA

• Good Knowledge of GPU/CPU product infrastructure and test methodology

• Strong technical/debug skills in test equipment and test program troubleshooting