NVIDIA is seeking a senior engineer to join the Design-for-X Engineering team, focusing on innovative AI solutions for chip design and manufacturing testing. The role involves managing AI infrastructure and collaborating with various teams to optimize deployment cycles. The engineer will tackle complex problems in the Design For Test space using applied AI methods. Additionally, mentoring junior engineers on test designs and methodologies will be a key aspect of the position.

• BSEE with 12+ years, MSEE with 10+ years, or PhD with 6+ years of experience in AI Infrastructure management, Applied Machine Learning, and Gen AI.
• Excellent knowledge in building agents and multi-agentic ecosystems.
• Experience with SQL, ETL, and data modeling.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Strong programming skills in Python and C++.

• Work on Applied AI projects requiring ML and Gen AI expertise.
• Build and manage deployment cycles as part of the AI Infrastructure requirements.
• Act as a liaison between on-prem infrastructure teams and software development teams.
• Monitor performance, automate deployments, and maintain code pipelines.
• Develop and deploy DFT methodologies for next generation products using Gen AI solutions.
• Mentor junior engineers on test designs and trade-offs.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.