We currently have 700 open roles

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 currently have 700 open roles

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Developer Ecosystem – Staff Technical Program Manager

United States Off-siteSave

Category

Product Management

Remote Eligible

Yes

Hire Type

Employee

Job ID

16741

Base Salary Range

$102000-$154000

Date posted

04/21/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect, from advanced engineering simulation to semiconductor design and beyond. With the integration of legacy-Ansys simulation solutions, we empower our customers to tackle real-world engineering challenges across industries such as automotive, aerospace, energy, electronics, and more. Our technology portfolio now includes the industry-leading simulation tools engineers rely on to design, test, and optimize products for performance, reliability, and safety.

You Are:

You are a forward-thinking technical leader who thrives at the intersection of product management, developer experience, and platform strategy. With a passion for technology and a strong technical acumen, you are energized by empowering engineers and methods developers to build tomorrow’s innovations and excited about the role that AI can play in the developer experience. Your experience spans software development, product management, and open-source ecosystems, enabling you to tackle complex challenges and drive consensus among cross-functional teams. You understand how critical seamless integration, extensibility, and ease of use are for developer tools, and you’re committed to elevating these standards across platforms and products.

What You’ll Be Doing:

• Owning the product strategy and roadmap for Ansys developer tools, including PyAnsys libraries, APIs, MCP connectors, SDKs, and platform integrations.

• Defining and maintaining a cohesive vision for developer tooling across multiple product lines, ensuring alignment with Ansys and Synopsys strategies.

• Establishing and evangelizing standards for developer experience, API design, documentation, and lifecycle management to ensure consistency and ease of use.

• Partnering with engineering, architecture, and platform teams to deliver high-quality, maintainable, and well-documented developer tools.

• Driving adoption, satisfaction, and improvement initiatives for developer tools by tracking metrics, identifying addressing friction points, and engaging with customers and partners.

• Guiding integrations with external platforms (such as NVIDIA Omniverse), ensuring technical soundness, scalability, and alignment with ecosystem goals.

• Collaborating with cross-functional teams (product managers, DevOps, documentation, developer advocacy, field teams) to deliver end-to-end solutions and support real-world use cases.

• Leading the creation of technical enablement assets including white papers, application notes, developer documentation, webinars, demos, and workshops.

The Impact You Will Have:

• Enable customers and partners to reliably extend and deploy Ansys capabilities within their own workflows and platforms, accelerating innovation across industries.

• Drive measurable improvements in developer tool adoption, satisfaction, and usability, positioning Ansys and Synopsys as developer-friendly platforms.

• Establish clear standards and best practices for developer tooling, fostering consistency, reliability, and extensibility across product lines.

• Empower engineering teams to deliver high-quality, maintainable tools that reduce friction and unlock new integration possibilities.

• Expand the reach of physics simulation beyond core engineering audiences, enabling professionals in fields like healthcare and manufacturing to leverage simulation insights.

• Build a vibrant developer ecosystem that supports traditional developers and agent-based workflows, enhancing platform readiness for emerging technologies.

• Align internal teams around shared goals, clear ownership boundaries, and a cohesive vision for developer experience, driving organizational efficiency and collaboration.

What You’ll Need:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience); advanced degree preferred.

• 5+ years of combined experience in engineering, CAE simulations, or software product management (or equivalent combination of education and experience).

• Strong understanding of APIs, SDKs, developer tooling, REST/gRPC interfaces, Python ecosystems, and open-source workflows.

• Demonstrated programming abilities in one or more languages: Python, Java, .NET, C++, Python preferred.

• Experience working with software engineers and architects on technically complex products or projects.

• Ability to occasionally work irregular hours to support international events and audiences.

• Experience with script-based customization of engineering processes and simulation workflows.

• Familiarity with NVIDIA Omniverse or other emerging developer platforms is a plus.

• Excellent communication skills, with the ability to articulate business value of technical innovations to diverse stakeholders.

Who You Are:

• Collaborative and inclusive, valuing diverse perspectives and fostering teamwork across functions and geographies.

• Strategic thinker with a keen eye for detail, able to balance big-picture vision with practical execution.

• Customer-centric, passionate about understanding user needs and delivering impactful solutions.

• Adaptable and resilient, thriving in fast-paced environments with evolving priorities.

• Proactive problem-solver, eager to identify and address gaps, friction points, and opportunities for improvement.

• Clear and persuasive communicator, capable of engaging technical and business audiences alike.

• Curious and committed to continuous learning, staying ahead of trends and best practices in developer tools and simulation software.

The Team You’ll Be A Part Of:

You’ll join a dynamic, cross-disciplinary team focused on advancing the developer ecosystem for Ansys and Synopsys products. The team collaborates closely with engineering, architecture, platform, and field teams to deliver and drive adoption of developer tools that empower innovation across industries. You will play a pivotal role in aligning strategy, standards, and deliverables across business units, as well as driving a shared vision for developer experience and platform extensibility. Together, you’ll help shape the future of simulation and developer enablement

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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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Key Responsibilities: Collaborate with internal engineering and marketing teams as well as external partners to build product-based how-to technical content. Deliver high-quality technical material to engineers, developers, and scientists through blogs, training materials, whitepapers, and more. Maintain a suite of EDA benchmarking results to demonstrate the value of the NVIDIA platform in the EDA sphere. Build high-quality training materials and documentation to enable researchers and developers to solve the most ambitious problems and enable their lives' work.

Requirements: Bachelor’s degree or equivalent experience in Physics, Engineering, Computer Science, or a related field. 6+ years of meaningful work experience in software development, technical evangelism, technical marketing, developer marketing, or similar. 3+ years experience with EDA/Semiconductor workflows. Strong communication and interpersonal skills. Proven understanding of AI and ML techniques, parallel programming techniques, and software engineering. Experience with NVIDIA's CUDA-X Platform, including SDKs like Physics NeMo, Warp, CUDA, and Omniverse. Passionate about communicating complex ideas in simple ways. Knowledge about benchmarking common EDA/Semiconductor workflows and applications.

Nice to Have: Master's degree or higher from a leading university in an Engineering or Computer Science related field. Proven experience developing engineering applications using NVIDIA technologies. Existing public-facing technical content or forum contributions. Extensive experience in the EDA or semiconductor industry.

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About the Team

Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.

About the Role

We are hiring a Simulation Environments Engineer to build the tooling and infrastructure that enable high-coverage, realistic virtual environments for robotics research and evaluation. This role is focused on _creating the systems_ (not necessarily hand-crafting every asset) that let researchers and engineers describe, visualize, generate, and validate task environments at scale. You will design pipelines for importing and vetting 3rd-party content, author procedural and randomized scenario generators, and ship ergonomic tools that make environment creation fast, repeatable, and testable. This role sits at the intersection of game-engine practice, asset engineering, and large-scale simulation infrastructure.

This role is based in San Francisco, CA, and requires in-person 3 days a week.

In this role, you will:

• Build interactive and programmatic tooling to describe, preview, and validate scenes and tasks so researchers can author scenarios quickly and repeatedly.

• Create content pipelines to curate, convert, optimize and quality-check assets (visual + collision) from third-party collections and internal sources; define standards so assets behave predictably across engines and tasks.

• Implement robust importers and adapters that bring environments and setups from Isaac/Unity/Unreal/Omniverse/other repos into our sim pipelines while preserving fidelity and ensuring performance.

• Build frameworks for procedural generation and controlled randomization (visual, physical, kinematic) so models see a systematic, measurable variety of conditions.

• Define and enforce quality gates for environments (visual fidelity, collision correctness, physical plausibility) and instrument validation tooling so environments meet realism/coverage goals.

• Connect environment tooling to CI/CD, presubmit checks, large-scale simulation farms and model-eval pipelines so environments can be tested automatically and run at scale. (You’ll partner with sim-pipelines and sim-realism owners.)

• Create processes and templates to onboard new object libraries and contracted asset work; provide clear acceptance tests and automation for vendor deliverables.

You might thrive in this role if you:

• Enjoy building ergonomic tooling that empowers other engineers and researchers to produce high-quality environments quickly.

• Have practical experience with modern world engines (NVIDIA Isaac Sim, Unity, Unreal Engine, Omniverse) or equivalent production pipelines and can choose and integrate the right platform for each use case.

• Are comfortable with the full content pipeline: CAD/asset import, USD/GLTF/FBX/texture workflows, collision mesh generation, LODs, and material/physics metadata.

• Have built or used procedural generation and domain randomization systems to produce broad, task-relevant variability.

• Care about quality control and validation — you like to design automated checks and visual/quantitative diagnostics that ensure environments are correct and performant.

• Can collaborate across functions — you’ll work closely with researchers, physics/realism engineers, SWE/RE, and vendors to ensure environments are both realistic and actionable for ML training and evaluation.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to

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