NVIDIA

Software Test Development Engineer, Deep Learning – New College Grad 2025

SANTA CLARA, CAPosted a month ago

Job summary

  • Job post source

    This job is directly from NVIDIA

  • Job overview

    The Software Test Development Engineer role at NVIDIA focuses on developing and automating tests for Deep Learning software and GPU infrastructure, impacting AI applications in autonomous driving, healthcare, and more.

  • Responsibilities and impact

    The engineer will design, implement, and automate test plans and cases, collaborate with global teams to ensure product quality, manage bug lifecycles, and verify customer issues and fixes.

  • Compensation and benefits

    The base salary ranges from $108,000 to $212,750 depending on location and experience, with additional equity and benefits offered.

  • Experience and skills

    Candidates should have a BS or higher in CS/EE/CE or related fields, experience in software quality assurance, test automation, scripting languages, UNIX/Linux, C/C++ development, virtualization, and deep learning frameworks.

  • Career development

    The role offers growth by working on critical projects supporting billion-dollar business lines and opportunities to improve efficiency and develop expertise in AI and GPU computing.

  • Work environment and culture

    NVIDIA promotes a diverse, encouraging, and innovative work environment where creativity and autonomy are valued.

  • Company information

    NVIDIA is a leading technology company pioneering AI and GPU computing, known for its innovative products and impact on various AI-driven industries.

  • Team overview

    The candidate will join the Deep Learning SWQA team, collaborating with multiple AI product teams globally to enhance software quality and performance.

  • Application process

    Applications are accepted on an ongoing basis with no specific deadlines mentioned.

  • Unique job features

    The job involves working with cutting-edge AI and GPU technologies, including NVIDIA GPU hardware, CUDA libraries, and AI development tools, with opportunities to work on unique test automation and deep learning validation projects.

Company overview

NVIDIA is a leading technology company known for designing and manufacturing graphics processing units (GPUs) for gaming, professional visualization, data centers, and automotive markets. They generate revenue primarily through the sale of GPUs and related software, as well as through their growing presence in AI and machine learning sectors. Founded in 1993, NVIDIA has a rich history of innovation, including the introduction of the CUDA platform, which revolutionized parallel computing. Their recent advancements in AI, autonomous vehicles, and high-performance computing continue to position them at the forefront of technological development.

How to land this job

  • Tailor your resume to highlight your experience with software quality assurance, test automation, and scripting languages like Python, Perl, or Bash, emphasizing your ability to work in UNIX/Linux environments as outlined in the job description.

  • Emphasize your knowledge of deep learning frameworks, AI development tools, and any hands-on experience with GPU computing, CUDA, or NVIDIA hardware to align with the role's focus on validating deep learning software and infrastructure.

  • Apply through multiple channels such as the NVIDIA corporate careers site, LinkedIn, and other job boards where NVIDIA posts this position to maximize your application visibility.

  • Connect with current NVIDIA employees in the Deep Learning SWQA team or related AI software divisions on LinkedIn; use ice breakers like complimenting recent NVIDIA AI projects, asking about team culture, or inquiring about key skills for success in the role.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'test automation,' 'deep learning frameworks,' 'CUDA,' 'Python scripting,' and 'software quality assurance' to ensure it passes initial screenings.

  • Utilize Jennie Johnson's Power Apply feature to automate applying across multiple platforms, tailor your resume with relevant keywords, and identify LinkedIn connections to network with, saving time and increasing your chances at NVIDIA.

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