At Synopsys, we are seeking a highly skilled and innovative Staff DFT Product Engineer to join our Product Engineering Team. As a key member of our team, you will be responsible for providing deep technical expertise in test solutions across design planning, implementation, and validation of Synopsys Test products.
\nYour primary responsibilities will include leading MBIST (Memory Built-In Self-Test) implementation and validation, driving, prototyping, and developing next-generation DFT methodologies and test suites to validate Synopsys SMS (Memory BIST) tool features, and collaborating with internal stakeholders to define, develop, and deliver innovative capabilities within Synopsys tools.
\nYou will also be responsible for leading early-adopter customer engagements, coordinating design methodology alignment, flow reviews, and technical readiness, partnering closely with feature development teams to drive the delivery of AI-enabled DFT solutions, and providing technical support, training, and account management to ensure customer success and satisfaction.
\nTo be successful in this role, you will need to have a bachelor's degree with 7+ years of relevant industry experience, or an MS with 5+ years in Electrical Engineering, Computer Engineering, or a closely related discipline. You will also need to have technical excellence and hands-on expertise in RTL design, DFT insertion, ATPG, and end-to-end MBIST solution development, as well as a deep understanding of memory architectures and test principles, including fault models, MBIST algorithms, and repair strategies.
\nIf you are a highly skilled and innovative engineer with a passion for solving complex technical challenges, and you are looking for a challenging and rewarding role, then we encourage you to apply for this position.
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\n$198K – $335K • Offers Equity
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nAbout the team
\nOpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.
\nAbout the Role
\nAs a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.
\nYou will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.
\nSuccess will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).
\nThis is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.
\nIn this role, you will:
\nYou’ll thrive in this role if you:
\nAbout OpenAI
\nOpenAI 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 safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
\nFor additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).
\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the
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\n$216K – $240K • Offers Equity
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nAbout the team
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\nAbout the role
\nWe’re hiring an Strategy and Ops Lead to build, run, and evolve the systems that enable the FDE team to execute at scale. This role sits at the core of the team and directly shapes how effectively we deploy frontier AI in the real world. You’ll turn fast-moving signals from the field and the business into clear operational plans, aligning project demand with FDE capacity, driving staffing decisions, and ensuring the portfolio scales predictably.
\nYou will partner closely with Business, Product, and GTM stakeholders to improve how we prioritize, plan, and coordinate. Rather than leading a single program, you’ll run core operating rhythms for the team, such as portfolio reviews, execution tracking, and quarterly planning, ensuring leaders have clear visibility into risks and delivery progress as the organization scales. This is a senior IC role with broad ownership across the FDE operating model.
\nIn this role you will
\nYou might thrive in this role if you
\nAbout OpenAI
\nOpenAI 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 safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
\nBenefits
\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.
\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).
\n[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-an
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nModel Deployment for Business
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nAbout the team
\nOpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.
\nAbout the Role
\nAs a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.
\nYou will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.
\nSuccess will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).
\nThis is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.
\nThis role is based in New York City or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel between 25%- 50% is required.
\nIn this role, you will:
\nYou’ll thrive in this role if you:
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