Lead technical strategy and solution architecture for enterprise customers, integrating simulation, digital engineering, and AI workflows.
Compensation
Base Salary Range: $160000 - $240000
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
Responsibilities
Act as a trusted technical advisor to executive, engineering, and IT stakeholders at strategic and enterprise customer accounts.
Partner with Sales, account teams, and regional leadership to identify high-value opportunities.
Lead customer discovery workshops and ideation sessions.
Define and document solution vision, roadmap, value drivers, risks, and adoption strategies.
Senior technical expert responsible for designing, deploying and scaling digital solutions such as Physical AI, Computer Vision, Digital Twins, Agentic AI, Robotics and advanced automation across manufacturing operations.
Locations (2)
Ljubljana, Ljubljana, Slovenia
Barcelona, Catalonia, Spain
Compensation
€46,550.00 - €86,450.00
Responsibilities
Support the design and deployment of Physical AI, Computer Vision, Digital Twin, Agentic AI, Robotics and Automation solutions across Manufacturing Operations.
Partner directly with manufacturing sites to identify and shape high-value use cases that improve productivity, quality, compliance and operational performance.
Support the development of Digital Twin models and simulation capabilities to optimise manufacturing operations and shape Digital Twin, Computer Vision and Physical AI use cases across manufacturing platforms.
Translate site-specific operational challenges into scalable and reusable technology solutions, enterprise models, frameworks and deployment blueprints.
Service Line Sales Specialist - IoT & Engineering Services
Lead sales and business development for IoT and Engineering Services practice, driving growth through consultative selling of AI‑led transformation solutions.
Responsibilities
Build growth strategy and pipeline plan for key domains
Own sales, business development and end‑to‑end sales process
Manage account plans and build strategic relationships
Lead proposals and RFPs aligned to account strategy
Shape solutions with internal leaders and delivery teams
Lead and scale developer programs for NVIDIA’s AI and computing platforms in Retail & CPG environments.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
Responsibilities
Develop and maintain technical knowledge in Retail & CPG intelligent stores and Physical AI
Serve as trusted technical advisor and champion for the developer ecosystem
Accelerate critical workloads by demonstrating and integrating NVIDIA software stack into partner products
Guide partners through onboarding and integration with technical resources
Assess developer ecosystem to identify emerging opportunities
Requirements
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field
A technical and strategic role focused on engaging developer ecosystems in Retail & CPG and Physical AI, championing the adoption of NVIDIA's AI and computing platforms.
Compensation
The expected base salary range for this position is 224,000 USD – 356,500 USD.
Responsibilities
Develop and maintain extensive technical knowledge in Retail & CPG intelligent stores and Physical AI.
Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in Retail & CPG.
Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (tools, libraries, SDKs, NIMs, and blueprints) into partner products, platforms, and pipelines.
Guide partners through onboarding and integration by providing technical resources such as sample code, guides, and demo pipelines.
Assess the developer ecosystem to identify emerging opportunities and adoption trends.
Lead the architecture, design, and deployment of next-generation AI-powered solutions for autonomous mining operations and digital platform ecosystems.
Responsibilities
Define enterprise AI architecture strategy and technical roadmap
Develop architecture standards, reference designs, and reusable frameworks
Translate mining business challenges into scalable AI-enabled solutions
Lead solution design reviews and technical governance activities
Evaluate emerging AI technologies and identify strategic adoption opportunities
Applications Engineering, Principal EngineerNewSynopsys
Service Line Sales Specialist - IoT & Engineering ServicesCognizant