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 seeking an experienced Engineering AI/ML Business Systems Architect to join the BSA Team within IT. You will work closely with internal Business Systems Architects, business and IT teams on Engineering & Manufacturing projects, translating business requirements into system solutions and helping define technology strategy and roadmaps.
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 roadmaps 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, SaaS solutions, and related system architectures.
- Collaborate with developers, QA, operations, and business teams across multifunctional projects from requirements definition and testing to project planning and implementation.
- Work cross-departmentally and globally to collect requirements, build project plans, obtain approvals, and deliver 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 and drive insights from data: MS SQL, Python, R, Tableau, Excel, Azure, AWS.
- Experience with Agile software development and tooling such as Jira and Confluence.
- Experience with client-server architecture and SaaS solutions.
- Strong logical problem-solving, project management, communication, and analytical skills; ability to work independently and lead/influence teams.
- Experience implementing continuous capability improvements.
Ways to stand out (nice to have)
- 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 Whys methodologies.
Benefits & Compensation
- Base salary ranges by level: Level 4: $140,000 - $224,250 USD; Level 5: $168,000 - $264,500 USD.
- Eligibility for equity and company benefits.
Additional information
- Office policy: Hybrid (#LI-Hybrid).
- Application window: applications accepted at least until July 29, 2025.
- NVIDIA is an equal opportunity employer and values diversity across all candidate attributes.