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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You are a passionate product leader with a strong technical foundation in simulation, modeling, or digital twin workflows. You thrive in dynamic environments where innovation, customer-centricity, and cross-functional collaboration are essential. You have a proven track record of translating complex technical concepts into actionable product requirements, partnering closely with engineering, UX, and go-to-market teams to deliver impactful solutions.

You have experience gathering and synthesizing customer and partner insights, validating solutions through prototypes or beta feedback, and mapping use cases to milestones and releases. Your analytical mindset enables you to define and track success metrics, communicate roadmap decisions, and support developer enablement through clear documentation and demos.

You are adept at engaging both technical and business stakeholders, articulating the strategic value of your product area while ensuring high-quality delivery. Your organizational skills allow you to coordinate complex projects, manage dependencies, and mitigate risks, all while keeping customer outcomes at the forefront.

You value inclusion, collaboration, and continuous learning. You are comfortable leading cross-functional initiatives, supporting product positioning and customer onboarding, and sharing learnings to inform future roadmap decisions.

What You’ll Be Doing:

• Gather and synthesize customer, field, and partner inputs to define requirements and validate solutions through prototypes and beta feedback for USD-based workflows, connectors, and simulation-to-Omniverse data pipelines.

• Define and maintain a prioritized set of use cases,including synthetic data generation, virtual sensors, and digital twins,and map these to releases and milestones.

• Work with engineering to scope releases, clarify tradeoffs, and ensure timely delivery of committed features.

• Contribute to roadmap planning by providing customer insights, competitive context, and data on feature adoption and product performance.

• Support developer enablement and communications by producing product documentation inputs, reference workflows, sample configurations, release notes, and demos in partnership with engineering and technical marketing.

• Collaborate with program management to track delivery status, risks, dependencies, and release readiness, communicating roadmap and decisions to cross-functional stakeholders.

• Coordinate with internal platform teams to validate integration requirements, API needs, and end-to-end workflow quality.

• Define and report on success metrics for your features,such as adoption, activation, workflow completion, and customer feedback,and share learnings and customer wins to inform roadmap decisions.

• Partner with Field, Sales, and Customer Success to support product positioning, customer onboarding, and enablement for your product area.

The Impact You Will Have:

• Enable seamless integration between Synopsys simulation products and NVIDIA Omniverse, USD-based, and Physical AI workflows, expanding Synopsys’ reach into emerging engineering ecosystems.

• Drive adoption of synthetic data generation, virtual sensors, and digital twin capabilities, empowering customers to accelerate innovation.

• Enhance developer and partner enablement through clear documentation, reference workflows, and demos, increasing product adoption and satisfaction.

• Support the delivery of reliable, high-quality features by collaborating across engineering, program management, and go-to-market teams.

• Shape product strategy by providing actionable customer insights, competitive analysis, and performance metrics, ensuring Synopsys remains a leader in simulation and AI-driven workflows.

• Facilitate customer onboarding and enablement, improving time-to-value and supporting successful implementations.

• Influence cross-functional alignment and readiness, ensuring smooth launches and effective communication across the organization.

• Drive continuous improvement by sharing learnings, customer wins, and feedback to inform future roadmap decisions.

What You’ll Need:

• Bachelor’s degree in Engineering, Physics, Computer Science, or a related technical field; Master’s degree or Ph.D. preferred.

• 5+ years of experience in product management, program management, simulation software, platform engineering, or related customer-facing technical roles; 8+ years preferred for advanced roles.

• Solid technical understanding of simulation, modeling, or analysis workflows; experience with USD-based workflows, digital twins, or Physical AI ecosystems highly valued.

• Demonstrated ability to work across engineering, UX, and go-to-market teams,and directly with customers/field organizations,to develop, validate, and deliver product capabilities from concept through release.

• Ability to translate complex technical concepts into clear requirements and tradeoffs, and communicate status/decisions to cross-functional stakeholders.

• Strong analytical, planning, and organizational skills, with experience defining and tracking program success metrics.

• Experience driving cross-functional product delivery (requirements through launch) across multiple teams.

• Comfort engaging deeply with technical audiences and communicating strategic value to business stakeholders.

• Experience supporting demos, webinars, or industry events in partnership with engineering and marketing.

Who You Are:

• Collaborative, inclusive, and driven by customer outcomes.

• Detail-oriented and highly organized, able to manage complex projects and dependencies.

• Analytical thinker with a passion for continuous learning and innovation.

• Excellent communicator, comfortable engaging both technical and business stakeholders.

• Adaptable to fast-changing environments and emerging technologies.

• Proactive problem-solver who takes initiative and drives results.

The Team You’ll Be A Part Of:

You’ll join a dynamic, cross-functional team of product managers, engineers, program managers, and go-to-market specialists focused on advancing Synopsys’ simulation and Physical AI platform integration. The team is committed to delivering innovative solutions that empower customers to build, test, and deploy next-generation digital twins, synthetic data workflows, and virtual engineering environments. Collaboration, creativity, and customer-centricity are at the heart of the team’s culture, with a strong emphasis on learning, sharing, and continuous improvement.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits designed to support you throughout your career at Synopsys. Our benefits package includes medical, dental, and vision coverage, flexible paid time off, and a generous 401(k) matching program. We also offer a range of employee discounts and perks, including access to our on-site fitness center and free parking. In addition, we provide opportunities for professional development and growth, including training programs, mentorship, and career advancement opportunities.

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We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

In this role you will work closely within product to build the core digital infrastructure for a next-generation energy company. You will use your experience to engineer backend infrastructure that is second-to-none.

You'll be working across the back-end:

Constructing a real-time digital twin of our renewable generation and customer demand Developing messaging interfaces with our third-party providers Building high-volume pipelines for processing customer energy consumption Build the backend of a world class energy app

For this role, you should be able to think on your feet and adapt to new business needs as well as take ownership of projects and drive change.

The successful candidate will have demonstrable excellence as a Software Engineer, ideally 2+ years experience, proven ability to define and build complex systems, hands-on experience shipping highly-available production systems, and clear communication.

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Your tasks will include:

• Developing cloud-native software in Python and connecting it to real systems.
• Training and evaluating computer vision models - from data preparation to results.
• Working with LLMs and Vision-LLMs for advanced AI applications.
• Developing and maintaining digital twins that link physical and virtual environments.
• Using modern technologies such as Docker, REST APIs, Flask, and virtual environments (e.g., Omniverse).

To be well-prepared for your path as a Werkstudent:in, you should have the following qualifications:

• Studying IT or a related field.
• Passion for Python and modern software development.
• First experiences or interest in Docker, REST APIs, Flask.
• Your working style is characterized by a strong sense of curiosity, structure, and the ability to work independently.

Important information before departure:

• Requirement: valid enrollment at a university or college (later bachelor or earlier master).
• Start: after agreement - always at the beginning of a month.
• Duration: 6 months.
• Working hours: part-time (max. 20 hours/week).
• Work area: Consulting.
• Language: secure German and English.

At MHP, you will grow in an innovative and supportive environment continuously. This makes us the perfect sparring partner for your studies. Both for professional input and networking. We offer you:

• Appreciation. We support and appreciate colleagues as they are and celebrate our successes together.
• We are always happy about creativity and new impulses.
• Flexibility. Your working arrangement is up to you, time-wise and location-wise, in consultation with your supervisor or mentor.
• You have the opportunity to grow with us, in tasks, knowledge, and responsibility.

For more information on our benefits, please see here.

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This role partners closely with Data Center Operations, Facilities Engineering, Construction, Portfolio Planning, EHS, Security, Supply Chain, Finance, and IT to align solutions with business objectives. You will lead the end-to-end product lifecycle and deliver iterative, scalable platforms that enable operational excellence across the data center portfolio.

• Own the vision and roadmap for data center technology platforms, including DCIM, CMMS/EAM, BMS/SPoG, construction management, asset lifecycle, and workforce systems, aligned to business OKRs.
• Translate business goals into clear initiatives across first-party, third-party, and data/AI-driven solutions, with defined outcomes and success metrics.
• Make build, buy, or extend decisions across internal systems and external tools, balancing ROI, TCO, scalability, and interoperability.
• Lead the end-to-end product lifecycle: discovery, user research, problem definition, PRDs, prioritization, release planning, launch, and continuous improvement.
• Deliver iteratively using Agile principles, defining MVPs that unlock incremental value while building toward scalable platforms.
• Maintain structured execution through tools such as Jira, with clear tracking, reporting, and delivery discipline.
• Partner with cross-functional stakeholders to ensure systems interoperate cleanly with clear systems of record.
• Translate complex infrastructure concepts into intuitive workflows and product requirements for technicians and leadership.
• Conduct field discovery at data center sites to identify inefficiencies and prioritize improvements.
• Define data and telemetry strategies, including data models, integrations, and system-of-record decisions.
• Enable portfolio-level visibility through dashboards, KPIs, and digital twin capabilities.
• Drive adoption of data, AI, and automation solutions by embedding insights into operational workflows.
• Define and track KPIs such as MTTR/MTBF, maintenance compliance, backlog health, system adoption, telemetry coverage, construction schedule adherence, and capacity utilization.
• Establish product operating rhythms, including intake, prioritization, roadmap reviews, and release communications.
• Standardize templates and playbooks for site onboarding, asset standards, lifecycle workflows, and reporting.
• Stay current on industry trends and incorporate best practices into product strategy.
• Manage vendor relationships, including licensing, negotiations, and roadmap alignment.

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Your primary responsibilities will include:

• Developing integrated vision statements for digital production, from connected facilities to IoT architectures and seamless shopfloor integration.
• Designing data-driven use cases, such as predictive maintenance, AI-supported quality control loops, production optimisation, and autonomous control systems, and overseeing their technical and organisational implementation.
• Planning new production sites and optimising existing plants using modern planning methods, leveraging digital twins to simulate material flows, capacities, and ramp-up scenarios.
• Supporting the industrialisation of new products and ensuring successful production ramp-up, from strategic planning to pilot phases and stable series production.
• Evaluating automation potential, developing innovative production concepts, and implementing economically viable robotics and automation solutions.
• Identifying sustainable levers to reduce manufacturing costs, increasing productivity, and optimising resource, energy, and material usage.
• Establishing high-performance production systems based on lean principles, implementing performance management structures, and embedding a culture of continuous improvement.

In addition to these responsibilities, you will also be involved in various other tasks, including:

• Analysing and optimising production and industrialisation processes.
• Developing smart factory roadmaps and digital architecture.
• Designing and implementing data and AI applications in production.
• Planning factories, production networks, and layouts, including simulation and digital twin.
• Managing ramp-up programmes and industrialisation projects.
• Identifying and realising cost reduction and efficiency potential.
• Introducing operational excellence systems.
• Leading interdisciplinary transformation projects.
• Conducting management workshops and steering committees.

To be successful in this role, you will need to have:

• A strong academic background in a relevant field, such as engineering, computer science, or business administration.
• Several years of experience in a top management consulting firm or in industry, preferably in operations, production, industrial engineering, or digitalisation.
• In-depth expertise in at least one of the following areas:

• Smart Factory / Industry 4.0
• Data & AI in production environments
• Factory planning / Digital Twin
• Ramp-up & Industrialisation
• Lean Production / Operational Excellence
• Automation & Robotics

• Strong analytical skills and structured problem-solving abilities.
• Technical understanding combined with business acumen.
• Confidence in presenting to top management.
• Excellent German and English language skills, as well as a willingness to travel.

In return, we offer a competitive salary and a range of benefits, including:

• Comprehensive pension scheme.
• Flexible working models, including mobile work, flexible hours, and sabbaticals.
• Support for work-life balance, including childcare, family services, and social engagement opportunities.
• Health promotion initiatives, including check-ups, vaccinations, ergonomic advice, digital tools, and comprehensive support from our occupational health management.
• Attractive conditions for purchasing and leasing vehicles, including exclusive tyre leasing for long-term employees and discounts on vehicles from Porsche, Volkswagen, Audi, and Ducati.
• Subsidised catering options, including fresh, seasonal, and regional food, modern cafeterias, and sustainable takeaway options.
• Support for sustainable mobility, including discounted public transport tickets, bike leasing, and comprehensive charging infrastructure for electric vehicles.
• Discounts on corporate benefits, employee discounts on Porsche lifestyle products and services, and package stations.
• Fair and performance-oriented remuneration according to tariff, including voluntary special payments, Christmas and holiday pay, and special bonuses for service anniversaries.

If you are interested in this opportunity, please submit your application, including your resume and a cover letter, to our recruitment centre.

We look forward to hearing from you!

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Your responsibilities will include:

• Providing strategic advice to top-management of our clients in the areas of product strategy and modularisation
• Leading and managing transformation programs to optimise product and portfolio strategies
• Evaluating and developing portfolio strategies using modern product-mining methods
• Identifying commercial and technical optimisation opportunities in product and variant portfolios
• Designing modular hard- and software architectures based on systems-engineering approaches
• Developing business cases considering total cost of complexity and scale effects to support capital allocation and sourcing decisions
• Active participation in the development of internal methods and knowledge assets, including software-defined products, digital twins, and AI-based engineering approaches
• Supporting project acquisition and acting as a liaison between the cost and value engineering and portfolio management teams

To be successful in this role, you will need to have:

• A successful university degree, preferably in a technical field such as engineering or economics
• At least five years of experience in industry (OEM, Tier-1) and/or consulting, with a clear focus on product management, industrial engineering, production planning, industrialisation, or procurement
• Proven expertise in modular product design, portfolio analysis, and the transfer of insights into actionable measures
• A deep understanding of process-related cost structures along the entire value chain (activity-based costing)
• Strong analytical skills, a structured approach, and the ability to drive topics independently and represent them confidently in client environments
• Excellent communication and moderation skills, including secure interaction with suppliers and other stakeholders
• A strong network in the industry, particularly to support acquisition activities
• Very good proficiency in German and English, as well as high travel readiness within Germany and abroad

We offer a competitive salary and benefits package, including:

• A comprehensive pension scheme
• Flexible working models, including mobile work, flexible working hours, and sabbaticals
• Support for work-life balance, including childcare, holiday programs, parent networks, and a family service
• A wide range of health promotion initiatives, including check-ups, vaccinations, ergonomic advice, digital tools, and comprehensive support from our occupational health management
• Attractive conditions for purchasing and leasing vehicles, including exclusive treasurero leasing for long-term employees and discounts on vehicles from Porsche, Volkswagen, Audi, and Ducati
• A diverse and inclusive work environment
• Opportunities for professional development and growth
• A dynamic and supportive team environment

If you are a motivated and experienced professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [career@porsche-consulting.com](mailto:career@porsche-consulting.com). We look forward to hearing from you!

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You will use simulation and modeling tools to visualize production systems, identify bottlenecks, and optimize resource allocation,translating analytical insights into actionable production control decisions.

This is a hands-on role for someone with strong Operations Research fundamentals who is eager to apply simulation, optimization, and scripting to real manufacturing problems at scale.

Responsibilities:

• Develop and maintain discrete event simulation (DES) models of maritime manufacturing processes to support production planning and facility layout decisions
• Build and operate critical chain project management models to drive production scheduling and resource leveling
• Write scripts and build technology-driven workflows to automate production control tasks and streamline planning processes
• Collaborate with manufacturing technology teams to validate simulation assumptions against physical reality and implement process improvements
• Provide data-driven analysis to support capital equipment investments, make-vs-buy decisions, and capacity planning
• Create visualizations and reports that enable cross-functional teams (design, ops, finance, leadership) to understand factory behavior and make informed decisions
• Identify production bottlenecks, resource conflicts, and capacity constraints before they become expensive problems

Required Qualifications:

• Bachelor's degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Systems Engineering, or related technical field
• 2+ years of experience in simulation modeling, production planning, or industrial engineering
• Foundational knowledge of discrete event simulation concepts and at least one DES platform (FlexSim, Simio, AnyLogic, Arena, or equivalent)
• Strong analytical skills with the ability to translate complex data into actionable insights
• Willingness to integrate new technology into workflows , writing scripts, automating processes, and adopting tools that accelerate the team
• Proficiency in data analysis and visualization tools (Python, Excel, or similar)
• Ability to work directly with manufacturing teams to implement process improvements based on simulation and analytical results
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications:

• Master's degree or coursework emphasis in Operations Research, simulation, or optimization
• Experience with critical chain project management concepts or tools (Aurora from Stottler Henke, ProChain, or similar)
• Experience scripting or building automated workflows to support production planning or engineering processes
• Familiarity with manufacturing environments,shipyard, aerospace, defense, or advanced manufacturing
• Programming skills in Python for custom analysis, automation, and integration
• Knowledge of Lean manufacturing, Theory of Constraints, or Six Sigma methodologies
• Experience with digital twin concepts or integration of simulation with production systems (MES/ERP)
• Internship or project experience in factory layout, capacity planning, or production scheduling

US Salary Range $86,000-$114,000 USD

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As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware.

Key responsibilities include:

• Leading the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.

• Owning the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.

• Using FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.

• Working closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.

• Supporting and leading efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.

• Participating in and leading design reviews, architecture discussions, and technical decision-making forums related to structural systems.

• Overseeing the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.

• Guiding the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.

• Mentoring junior engineers and reviewing team members' work for technical rigor, performance, and manufacturability.

• Collaborating with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.

• Identifying opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.

Required qualifications include:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

• 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.

• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.

• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).

• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.

• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.

• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.

• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferred qualifications include:

• M.S. degree in Aerospace or Mechanical Engineering.

• Strong NX CAD skills.

• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.

• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.

• Prior experience in flight vehicle integration, manufacturing liaison, or production support.

• Familiarity with model-based engineering, digital twin development, or configuration management tools.

• Demonstrated experience in failure analysis, design iteration, and test correlation.

• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

Salary: $166,632 - $249,948 a year

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As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware.

You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today.

This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.

Responsibilities:

• Lead the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.

• Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.

• Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.

• Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.

• Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.

• Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems.

• Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.

• Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.

• Mentor junior engineers and review team members' work for technical rigor, performance, and manufacturability.

• Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.

• Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Qualifications:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

• 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.

• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.

• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).

• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.

• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.

• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.

• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferred Qualifications:

• M.S. degree in Aerospace or Mechanical Engineering.

• Strong NX CAD skills.

• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.

• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.

• Prior experience in flight vehicle integration, manufacturing liaison, or production support.

• Familiarity with model-based engineering, digital twin development, or configuration management tools.

• Demonstrated experience in failure analysis, design iteration, and test correlation.

• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

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This is a multi-level role where the level of responsibility is tailored to the candidate. You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today.

Responsibilities:

• Lead the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.
• Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.
• Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.
• Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.
• Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.
• Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems.
• Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.
• Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.
• Mentor junior engineers and review team members' work for technical rigor, performance, and manufacturability.
• Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.
• Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Requirements:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.
• 2+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.
• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.
• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).
• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.
• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.
• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.
• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferences:

• M.S. degree in Aerospace or Mechanical Engineering.
• NX CAD experience
• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.
• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.
• Prior experience in flight vehicle integration, manufacturing liaison, or production support.
• Familiarity with model-based engineering, digital twin development, or configuration management tools.
• Demonstrated experience in failure analysis, design iteration, and test correlation.
• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

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The ideal candidate will have 7-10 years of wildly successful experience selling to large enterprises and have also been on the journey of building an early stage company. We offer a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations.

Expected On-Target Cash Earnings for this role is between 300,000-330,000 per year.

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The successful candidate will have a proven track record of exceeding sales goals, managing large-scale accounts, and collaborating across diverse teams. You will have a deep understanding of strategic account management and be able to navigate complex enterprise environments. You will be a strategic thinker who can identify opportunities and deliver tailored solutions to complex challenges. You will be a collaborative team player with exceptional interpersonal and communication skills. You will be results-driven and resilient, thriving in fast-paced, target-oriented environments.

As a Sales Account Manager, you will join a dynamic and diverse sales team focused on driving business growth and delivering innovation to enterprise clients across India. The team is committed to collaboration, excellence, and continuous improvement, leveraging collective expertise to achieve ambitious goals. Together, you will work closely with marketing, technical, and support teams to create value for customers and position Synopsys as a leader in high-tech solutions.

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Key responsibilities include:

• Driving sales growth by developing and expanding existing accounts and identifying new customers.
• Meeting and exceeding sales targets through effective pipeline management and revenue forecasting.
• Prospecting for new business opportunities and acting as a trusted advisor to customer leadership.
• Collaborating with marketing, technical, and partner teams to develop and execute territory-based marketing programs.
• Maintaining high ethical standards and adherence to company policies in all business dealings.
• Travelling extensively to customer sites to build relationships and support sales initiatives.
• Leveraging social media and digital channels to enhance prospecting and market reach.

As a Territory Sales Manager, you will have the opportunity to accelerate business growth for Synopsys and its partners by expanding market reach and increasing revenue. You will strengthen customer satisfaction and loyalty through proactive engagement and value-driven solutions. You will drive innovation by introducing customers to advanced engineering and simulation technologies.

To be successful in this role, you will need to have a bachelor's degree from a recognized institution, preferably in engineering or engineering + MBA. You will also need to have a minimum of 10 years' experience in engineering product sales, account management, or key account management. Experience in simulation, CAD, PLM, or manufacturing solutions, as well as exposure to IoT, Digital Twin, ML/AI/VR, or platform solutions, is a plus.

If you are a strategic thinker with a growth mindset, excellent communication skills, and a strong ability to build relationships, we encourage you to apply for this exciting opportunity.

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We are seeking a seasoned sales professional with over 10 years of experience to join our team as an Associate Account Manager Sales. As a key member of our sales team, you will be responsible for developing and executing transformative business plans for key accounts to achieve ambitious sales targets.

Key Responsibilities:

• Develop and execute transformative business plans for key accounts to achieve ambitious sales targets.
• Prospect for new business opportunities within your territory and maintain a robust sales pipeline.
• Serve as a challenger seller and trusted advisor to customer leadership, providing strategic guidance and insight.
• Accurately forecast annual, quarterly, and monthly revenue streams to support business planning.
• Collaborate with marketing and technical teams to drive account-based marketing programs and customer engagement.
• Manage account receivables in line with Synopsys' standards and ensure timely payment collections.
• Adhere to business ethics and company policies, fostering a culture of integrity and trust.
• Travel extensively (up to 50%) to engage with customers, understand their needs, and deliver tailored solutions.

What You'll Need:

• Bachelor's degree from a recognized institution; Engineering or Engg+MBA is a plus.
• Minimum 10 years' experience in sales, strategic account management, or enterprise account management.
• Proven expertise in simulation, CAD, PLM, manufacturing solutions, or related technologies; experience with IoT/Digital Twin/ML/AI/VR/platform solutions is highly desirable.
• Strong familiarity with account farming strategies and enterprise account development.
• Experience handling large system integrators and collaborating across global teams.
• Knowledge of India territory and experience with automotive or aerospace customers is an advantage.
• Ability to drive account-based marketing programs and prospect via social media platforms.

Who You Are:

• Results-driven and resilient, thriving in fast-paced, target-oriented environments.
• Collaborative team player with exceptional interpersonal and communication skills.
• Strategic thinker who can identify opportunities and deliver tailored solutions to complex challenges.
• Ethical, trustworthy, and committed to upholding company values.
• Adaptable, resourceful, and comfortable with frequent travel and dynamic work schedules.
• Proactive problem-solver, capable of managing multiple priorities and stakeholders.

The Team You'll Be A Part Of:

You will join a dynamic and diverse sales team focused on driving business growth and delivering innovation to enterprise clients across India. The team is committed to collaboration, excellence, and continuous improvement, leveraging collective expertise to achieve ambitious goals. Together, you will work closely with marketing, technical, and support teams to create value for customers and position Synopsys as a leader in high-tech solutions.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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As an R&D Engineering Manager, you will be responsible for leading and mentoring a team of 4+ engineers, providing technical guidance and fostering a growth-oriented environment. You will collaborate with Product Management to define, prioritize, and execute on the product roadmap for vECU simulation solutions. You will oversee the end-to-end delivery of robust, scalable simulation and testing solutions, ensuring high-quality implementation and smooth release execution.

Key responsibilities include:

• Leading and mentoring a team of engineers
• Collaborating with Product Management to define and execute on the product roadmap
• Overseeing the end-to-end delivery of simulation and testing solutions
• Guiding software architecture evolution
• Establishing and promoting technical best practices
• Managing hiring, performance, and career development

You will be responsible for driving the adoption of innovative simulation technologies, enhancing Synopsys' reputation as a global leader in EDA and system solutions. You will shape the technical roadmap and strategic direction of simulation offerings, ensuring alignment with emerging market needs.

As a successful R&D Engineering Manager, you will have a proven track record of delivering high-impact projects on time and within budget. You will be a strategic thinker with the ability to influence and drive decisions that impact department and organizational success. You will be committed to quality, reliability, and continuous improvement in all aspects of engineering work.

You will join the Systems Software Group, a dynamic and innovative team at the heart of Synopsys' market-leading emulation, FPGA prototyping, virtual prototyping, verification IP, and optical design technologies. Our team is passionate about delivering disruptive solutions for automotive, mobile, networking, and AI applications. We value collaboration, creativity, and technical excellence, and are dedicated to enabling our customers to create better, faster, and more reliable software and hardware systems.

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We are seeking a highly motivated Staff Engineer to join our team, focusing on AI/ML and Digital Twin technologies. As a Staff Engineer, you will lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.

Responsibilities

• Lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.
• Engage directly with customers to understand engineering workflows, data availability, and decision-making processes, translating them into AI-enabled simulation and digital engineering solutions.
• Develop and implement differentiated solutions using technologies such as automation, reduced order modeling, optimization, simulation democratization, system-level modeling, and digital twins.
• Integrate machine learning models within simulation and digital twin pipelines to improve prediction accuracy, reduce computational cost, and enable near real-time insights.
• Define and deliver automated and scalable workflows that reduce reliance on expert-driven simulation and enable broader adoption across engineering teams.
• Lead or contribute to first-of-a-kind or ambiguous use cases, including AI-assisted design exploration, surrogate modeling, and digital twin deployment.
• Collaborate closely with product development teams to influence roadmap, validate new capabilities, and improve usability of AI-enabled features.
• Deliver professional services, training, and technical guidance to ensure successful adoption of advanced workflows.
• Support pre-sales and technical marketing activities through demonstrations, evaluations, and industry engagement.

Benefits

• Enable customers to transition from traditional simulation to AI-augmented and automated engineering workflows.
• Reduce time-to-insight through surrogate modeling, optimization, and intelligent automation.
• Expand access to simulation by supporting democratization across engineering and non-expert users.
• Drive adoption of digital twin technologies for predictive and operational decision-making.
• Influence product direction by connecting real-world use cases with next-generation AI-enabled capabilities.
• Contribute to business growth through high-impact technical engagements and solution delivery.

Requirements

• MS (or PhD) in Engineering, Computer Science, Applied Mathematics, or related field.
• 5+ years of experience in engineering systems, simulation, or data-driven modeling.
• Strong programming skills (Python preferred).
• Experience working with modeling, simulation, optimization, or data-driven engineering workflows.
• Strong analytical, problem-solving, and communication skills.
• Ability to operate effectively in a customer-facing, consultative engineering role.
• Proven experience in automation of engineering workflows or pipelines using tools such as optiSLang, modeFrontier, HEEDS or equivalent.
• Demonstrated expertise applying machine learning techniques in engineering contexts, including surrogate modeling, regression methods, or neural networks (CNNs, RNNs, autoencoders).
• Understanding of projection-based ROMs, dimensionality reduction, and feature engineering.
• Knowledge of multi-fidelity system modeling using Twin Builder, Simulink, AMESim or equivalent.
• Familiarity with deployment and operationalization of AI models, including integration into engineering workflows and use of frameworks such as PyTorch, TensorFlow, scikit-learn, Kubernetes, AWS/Azure equivalent.
• Exposure to cloud or HPC-based environments for large-scale simulation or data processing.

Who We Are Looking For

• Customer-focused and able to build trusted relationships.
• Comfortable working in ambiguous, fast-evolving technical environments.
• A strong communicator who can translate complex concepts into actionable insights.
• Self-driven, organized, and capable of managing multiple priorities.
• A collaborative team player who contributes to a culture of learning and innovation.

The Team You’ll Be A Part Of

You will be part of a multidisciplinary engineering team focused on advancing industry adoption of simulation through AI, automation, digital twin, and MBSE technologies. The team collaborates closely with customers, product development, and go-to-market functions to deliver innovative, high-impact solutions.

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