Business Systems Analyst - Strategic Portfolio Management
Santa Clara, California, United States · On-site
$168k–$270k/yr
Senior+$29B raised
NVIDIA is seeking a Business Systems Analyst to join our Strategic Portfolio Management team and develop the enterprise systems that help teams plan, collaborate, and deliver. The team builds and modernizes work-manageme…
Skills: Business Systems Analysis, Jira, Python, Groovy, SQL
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing…
Senior Power Architect, SoC Power and Thermal Management SW
Santa Clara, California, United States · On-site
$224k–$431k/yr
Senior+$29B raised
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by leading technology—and amazing people. Today, we’re tapping…
Skills: SoC power management, Thermal management, Performance optimization, C, System software
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Staff Security Engineer - PAM and Agentic Identity
Santa Clara, California, United States · On-site
$168k–$270k/yr
Senior+$29B raised
NVIDIA seeks a skilled engineer to upgrade, automate, tailor, and expand our Privileged Access Management (PAM) and Non-Human Identity (NHI) capabilities to fit agentic era expectations. This position will focus on impro…
About the Role We are seeking a Director of ASIC Verification who leads from the front: you'll own verification strategy, sign-off, and the team — and you'll also be one of the strongest hands-on verification engineers h…
Role Overview Velaura is building custom silicon for Physical and Embodied AI, and we are building it from a blank sheet. The automation our design and verification engineers use to get from RTL to a clean handoff shapes…
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the he…
Skills: NetApp ONTAP, Pure Storage, Cloudian, DDN, Ansible
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Product Line Management, Service Product Management, Gross Margin Management, ROI Analysis, Continuous Improvement Programs
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the he…
System Software Engineer, Calibration - Autonomous Vehicles
Santa Clara, California, United States · On-site
$152k–$288k/yr
Senior$29B raised
We are looking for a Software Engineer for Autonomous Vehicles supporting Calibration. We are seeking software engineers with interests in computer vision, calibration, egomotion, sensor fusion, handling large and comple…
Skills: C++, Python, Computer vision, Sensor calibration, CUDA
NVIDIA is seeking a Senior MLOps Engineering Manager to join our Autonomous Driving organization in Santa Clara, CA. This role offers an outstanding opportunity to lead the build, development, and operation of large‑scal…
The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Rob…
Skills: System validation, Silicon debug, GPU architecture, SoC architecture, Signal integrity
NVIDIA's deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need ha…
Skills: Datacenter hardware design, Firmware, System integration, HPC, AI workloads
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Advantest 93K, Teradyne UltraFLEX, ATE testing, Test methodology, Silicon process
About Vantage Vantage powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacifi…
Skills: Data center operations, Project management, Customer support, Strategic account management, Process improvement
Job Details: Job Description: About Intel & Silicon Chassis Intel is seeking an Entry Level Design Verification Engineer for the Silicon Chassis team. In this role, you will contribute to the verification of next-generat…
Skills: Design verification, Logic design, Digital circuits, RTL, C++
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Hardware characterization, Root cause analysis, Data analysis, Technical reporting
Senior Technical Program Manager – Silicon Co-Design
Santa Clara, California, United States · Hybrid
$200k–$322k/yr
Senior+$29B raised
NVIDIA's Silicon Co-Design Group (SCG) sits at the intersection of architecture, silicon, systems, and manufacturing — where engineering judgment at the highest level drives real-world product outcomes at scale. We are h…
Skills: SoC Program Management, Silicon Bring-up, Validation, Productization, Technical Leadership
Business Systems Analyst - Strategic Portfolio Management
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$168k–$270k/yr
Full-time
bachelor degree
Equity, Health Insurance
Posted 1d ago
~40 hrs/week
Responsibilities
The Business Systems Analyst will lead discovery workshops to identify workflow friction and develop scalable, AI-driven solutions for enterprise work-management platforms. They will own the full lifecycle of these solutions, from prototyping and configuration to deployment, adoption, and continuous improvement.
Requirements
Candidates must have a bachelor's degree and over 12 years of experience in business systems analysis or platform engineering. Proficiency in Jira, scripting languages like Python, and practical experience with AI-enabled solutions are essential for this role.
Full job description
NVIDIA is seeking a Business Systems Analyst to join our Strategic Portfolio Management team and develop the enterprise systems that help teams plan, collaborate, and deliver. The team builds and modernizes work-management platforms that connect business priorities with execution across NVIDIA. This role sits at the intersection of business systems analysis, platform engineering, and responsible AI, using automation and data-driven insights to remove friction and improve decisions. Unlike a traditional analyst position, this role owns solutions from discovery and rapid prototyping through configuration, launch, adoption, measurement, and continuous improvement.
What you'll be doing:
Lead focused discovery workshops with business users, product owners, engineering teams, and platform partners to uncover workflow friction, clarify outcomes, and identify high-value opportunities for AI, automation, or process simplification.
Translate business needs and user feedback into clear functional, technical, and data requirements. Include measurable success criteria. Challenge feature requests that do not address the underlying need.
Own solutions from intake through production: evaluate feasibility, AI suitability, data readiness, dependencies, and risks; prototype promising concepts; and coordinate building, configuration, testing, deployment, documentation, and adoption.
Configure, coordinate, and optimize enterprise work-management platforms and connected capabilities, including projects, workflows, forms, fields, permissions, notifications, dashboards, reporting, integrations, scripts, and intelligent experiences.
Build scalable, secure, and maintainable solutions that balance user experience, business value, platform standards, data privacy, responsible-AI practices, and long-term operational health.
Partner across business and technology teams to run user acceptance testing, incorporate feedback, guide transitions and training, and confirm that delivered solutions produce measurable outcomes for NVIDIA.
Sustain platform reliability by fixing sophisticated issues, handling access and governance, supervising health, documenting processes, and supporting upgrades, migrations, and modernization initiatives.
What we need to see:
Bachelor’s degree in Information Systems, Computer Science, Engineering, Business, or a comparable field, or equivalent experience.
More than 12 years of pertinent experience in business systems analysis, enterprise application or platform engineering, software delivery, or a related area.
Hands-on experience coordinating and configuring Jira or a comparable enterprise work-management platform, including workflows, fields, forms, permissions, dashboards, reporting, and integrations.
Experience in automation or scripting with Python, Groovy, or a comparable language, along with practical knowledge of database concepts, data management, and SQL.
Proven ability leading discovery, gathering requirements, translating user needs into practical solution builds, and partnering optimally with both business and technical collaborators.
Practical experience assessing, prototyping, or deploying AI-enabled solutions such as generative AI, copilots, intelligent agents, or large language model integrations within enterprise workflows.
Strong analytical, consultative, communication, prioritization, and ownership skills, including the ability to diagnose sophisticated workflow, technical, data-quality, and AI-output issues and drive work to completion.
Familiarity with data privacy, security, responsible-AI, and enterprise-governance approaches, together with Agile, Scrum, Kanban, DevOps, or software development lifecycle techniques.
Ways to stand out from the crowd:
Deep experience with the Atlassian ecosystem, including Rovo, Jira, Focus, Talent, Confluence, Jira Align, or Atlassian Strategy Collection.
Experience planning or accomplishing migrations from Atlassian Server or Data Center to Atlassian Cloud.
Experience governing multiple enterprise Jira instances and establishing configuration standards, platform guardrails, or responsible-AI controls.
Experience with large language model APIs, agentic workflows, low-code or no-code AI platforms, enterprise knowledge integrations, and assessment of AI quality, reliability, performance, and adoption.
Background in software development, technology delivery, project or product management, process improvement, workflow development, or supporting organizational evolution.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Related keywords
Business Systems AnalystStrategic Portfolio ManagementNVIDIAJiraPythonGroovySQLGenerative AICopilotsLarge Language ModelsAgileScrumKanbanDevOpsAtlassianConfluence
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
How much do Engineering jobs in Santa Clara, CA pay?
Based on 2642 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $111k–$279k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Santa Clara, CA right now?
There are currently 2,862 open engineering positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Santa Clara, CA?
Companies currently hiring include Applied Materials, NVIDIA, Qualcomm, AMD, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Santa Clara, CA?
Yes — 498 of the 2862 open engineering positions offer remote or hybrid work (84 remote, 414 hybrid).
How do I apply for Engineering jobs in Santa Clara, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.