Used Tools & Technologies
Not specified
Required Skills & Competences ?
Software Development @ 7 Python @ 4 SQL @ 4 R @ 4 Tableau @ 4 AWS @ 4 Azure @ 4 Communication @ 7 HTML @ 4 JavaScript @ 4 CSS @ 4 Jira @ 6 JSON @ 4 XML @ 4 Project Management @ 7 QA @ 4 MS SQL @ 4 Agile @ 6Details
We are looking for a highly motivated Engineering AI/ML Business Systems Architect to join the BSA Team within IT, working closely with internal Business Systems Architects, Business and IT teams on Engineering & Manufacturing projects.
Responsibilities
- Collaborate with business users to transform business requirements into system-based solutions focused on Enterprise Engineering platforms.
- Identify challenges, opportunities, and gaps in business processes and help build technology strategy and roadmap to address them.
- Design, develop, deploy, and maintain AI and ML algorithm pipelines and workflows for Manufacturing systems.
- Analyze, improve, and maintain client-server architecture and SaaS solutions.
- Collaborate with developers, QA, operations, and business teams in cross-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, obtain approvals, and complete delivery of engineering solutions using strong communication and partnership techniques.
Requirements
- Bachelor’s Degree in Information Technology, Computer Science, new technologies, or equivalent experience.
- Proven 8+ years of experience building and improving enterprise-class systems through the entire Software Development Lifecycle (SDLC).
- Minimum 5+ years of experience delivering AI/ML frameworks.
- Experience with technologies used to analyze data and drive insights: MS SQL, Python, R, Tableau, Excel, Azure, AWS.
- Experience with Agile software development and tools such as Jira and Confluence.
- Experience analyzing and maintaining client-server architectures and SaaS solutions.
- Strong logical problem solving, project management, communication, and analytical skills.
- Independent and motivated with good judgment and decision-making skills.
- Continuous capability improvement implementation experience.
Ways to stand out
- Background in the semiconductor / high-tech industry.
- Experience with web technologies and architecture: HTML, JSON, JavaScript, CSS, XML.
- Knowledge of Engineering & Manufacturing Applications, Lean Six Sigma, and 5 Why methodologies.
Benefits & Additional Information
- Base salary is determined by location and experience. Published base salary ranges:
- Level 4: 140,000 USD - 224,250 USD
- Level 5: 168,000 USD - 264,500 USD
- Eligible for equity and benefits.
- #LI-Hybrid
- Applications accepted at least until July 29, 2025.
Equal Employment Opportunity
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of protected characteristics under applicable law.