We are looking for a highly motivated Engineering AI/ML Business Systems Architect, to join the BSA Team within IT, where you will work closely with the internal Business Systems Architects, Business and IT teams on Engineering & Manufacturing projects.
What you'll be doing:
Collaborate with Business users to transform the business requirements into system-based solutions passionate about the Enterprise Engineering platforms
Identifies challenges, opportunities, and gaps in the business processes and helps build technology strategy and roadmap to address them
Design, develop, deploy, and maintain AI and ML algorithm pipelines and workflows for our Manufacturing systems.
Analyze, improve, and maintain Client-Server architecture, SAAS solutions, etc.
Collaborate with developers, quality assurance, operations, and business teams in multi-functional projects from requirements definition and testing to project planning and implementation.
Work cross-department, cross-project, and across the globe to collect requirements, build project plans, get approval, and complete delivery of Engineering solutions using good communication and partnership techniques.
What we need to see:
Bachelor's Degree in Information Technology, Computer Science, new technologies, or equivalent experience
Proven 8+ years of experience as a motivator in building and improving enterprise-class systems through the entire Software Development Lifecycle (SDLC)
Minimum 5+ years of experience delivering AI/ML frameworks
Experience with some or all of the following technologies to build analysis and drive insights from data (MS SQL, Python, R, Tableau, Excel, Azure AWS)
Agile software development experience tools such as Jira, Confluence
Logical problem solver, results-oriented, and with excellent project management, communication, and analytical skills.
Independent and motivated individual who requires little supervision and demonstrates good judgment and decision-making skills.
Strong written and verbal communication and conscientious listening skills and ability to lead teams and influence others
Continuous Capability improvement implementations experience
Ways to stand out from the crowd:
Background in the semiconductor / High tech industry is plus
Experience with web technologies & architecture: HTML, JSON, Javascript, CSS, and XML is plus
Knowledge of Engineering & Manufacturing Applications, Lean Six Sigma, and 5 Why methodologies is a plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 4, and 168,000 USD - 264,500 USD for Level 5.You will also be eligible for equity and benefits.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
