Senior Software Test Development Engineer - Deep Learning

Details

We are looking for a Software Test development engineer in NVIDIA’s Deep Learning SWQA team. The position is in NVIDIA Deep Learning and AI 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. The team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve workflow processes for a diverse range of GPU computing platforms.

You will be in the critical path supporting developers working for billion-dollar business lines and should value responsiveness, thoroughness and collaboration. The role requires championing and implementing efficiency improvements across your domain.

Responsibilities

• Work closely with global multi-functional teams to understand test requirements and take ownership of product quality.
• Plan, design, implement, report and automate test plans, test cases and test reports.
• Run bug lifecycle and collaborate with cross-functional groups to drive solutions.
• Automate test cases and assist in architecture, crafting and implementation of test frameworks.
• Reproduce and verify customer issues and fixes in-house.

Requirements

• BS or higher in Computer Science, Electrical Engineering, Computer Engineering or equivalent experience.
• 4+ years of software quality assurance or test automation experience, including knowledge of test infrastructure and strong analysis skills.
• Scripting experience with Python, Perl or Bash and strong UNIX/Linux experience.
• Good C/C++ software development or test development experience.
• Good user/development experience with virtualization technologies such as VM and Docker containers.
• Understanding and working knowledge of Deep Learning frameworks and models, especially in end-to-end customer scenarios.
• Experience validating Deep Learning software and Deep Learning models.
• Experience using AI development tools for test plan creation, test case development and test case automation.
• Ability to balance conflicting and changing priorities while maintaining a positive attitude in ambitious and dynamic schedules.
• Excellent English written and oral communication skills.

Ways to stand out from the crowd

• Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc.) and working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning.
• Background in building models and AI-based infrastructure to improve test automation.
• Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.) and familiarity with running various AI workloads.
• Background validating Data Center GPU-based infrastructure (multi-GPUs, multi-nodes, cluster).
• Experience with VectorCAST, Bullseye, Gcov, or Coverity tools.

Benefits

• Competitive base salary (range depends on level and location) and eligibility for equity and benefits. The posting lists base salary ranges: 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
• Additional company benefits; link to NVIDIA benefits information referenced in the original posting.

Applications for this job will be accepted at least until August 19, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate in hiring and promotion practices on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.