The Field Engineer will also be responsible for testing and debugging sensors that are in the build and characterization phase of production. They will work closely with the engineering team to identify and troubleshoot system hardware and software issues.

Key responsibilities include:

• Planning, leading, and managing the integration and testing of high-performance imaging systems from first build through field deployment.
• Travelling to test sites and working with internal and external stakeholders.
• Performing hands-on integration of the electrical, firmware, mechanical, and software components of the system and providing feedback to the engineering team.
• Identifying and troubleshooting system hardware and software issues.
• Managing prototyping lab facility and activities, including test hardware, test processes, and procedures.

The ideal candidate will have a strong background in system design and development, with experience in laboratory skills, such as design of experiments. They will also have a degree in a relevant technical discipline and be able to work independently with minimal oversight in a fast-paced, dynamic environment.

Preferred qualifications include experience with advanced sensing domain, image processing techniques, and analytical toolchains/languages, such as MATLAB, Python, or C++.

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We are seeking an experienced Applications Engineer to join our Ansys (part of Synopsys) Customer Excellence team in Shanghai. As a key member of our team, you will be responsible for leading technical activities throughout the sales opportunity lifecycle, engaging directly with customers to understand their engineering design workflows and product development goals, and creating and deploying differentiating simulation solutions using Ansys tools and technologies.

Responsibilities

• Lead technical activities throughout the sales opportunity lifecycle, including technical discovery, success criteria setup, product presentations, demonstrations, and evaluations.
• Engage directly with customers to understand their engineering design workflows and product development goals, and articulate the value proposition of Ansys (part of Synopsys) solutions.
• Create and deploy differentiating simulation solutions using Ansys tools and technologies, integrating these into customer workflows for measurable business impact.
• Collaborate with product development teams to translate customer requirements into new product features, testing new releases and developing best practices.
• Participate in corporate initiatives, presales/sales enablement, and team member mentoring to advance solution suites and professional growth.
• Support field and digital marketing efforts, authoring conference presentations, and contributing to consulting services and training classes.
• Provide tailored technical support throughout the sales cycle, ensuring successful adoption of advanced simulation technologies.

Impact

• Accelerate customer innovation by integrating simulation-driven solutions into their product development workflows.
• Drive business growth for both clients and Synopsys by delivering measurable value through technical expertise and strategic engagement.
• Enhance customer satisfaction and productivity by providing expert guidance and support on Ansys (part of Synopsys) automation, optimization, and AI/ML-based solutions.
• Shape future product development by translating customer feedback into actionable requirements and new features.
• Mentor and develop team members, fostering a collaborative and knowledge-sharing environment.
• Expand Synopsys’ reputation as a leader in simulation technology through impactful presentations, consulting, and industry engagement.

Requirements

• Bachelor's degree in Mechanical, Chemical, Aerospace, Electrical, Electronics Engineering or related field.
• Professional experience in engineering software environments (BS+5, MS+3, or PhD+1 minimum; BS+8, MS+6, or PhD+3 preferred).
• Demonstrated proficiency with Ansys (part of Synopsys) software or other commercial CAE, CAD, EDA, PLM packages.
• Skills in tool chaining, workflow customization, automation, and scripting/programming (Python, C/C++, Java, C#).
• Strong knowledge and experience with design of experiments, optimization, and AI/ML technologies including Reduced Order Modeling.
• Hands-on experience with Process Integration and Design Optimization platforms like Ansys optiSLang, Ansys ModelCenter, or equivalents.
• Logical problem-solving abilities and clear communication of technical solutions to customers.
• Strong interpersonal and organizational skills, with the ability to lead webinars and presentations.
• Ability to travel domestically up to 20% of the time.

Who You Are

• Customer-focused, empathetic, and driven to deliver measurable results.
• Collaborative team player who thrives in multidisciplinary environments.
• Adaptable and open to new technologies and approaches in engineering simulation.
• Effective communicator with strong presentation and mentoring skills.
• Proactive problem solver with a logical approach and attention to detail.
• Organized, efficient, and able to manage multiple priorities with a sense of urgency.

The Team You’ll Be A Part Of

You will join the Ansys (part of Synopsys) Customer Excellence team based in Shanghai, working with talented engineers, product specialists, and business professionals. The team is committed to delivering cutting-edge simulation solutions and driving customer success through technical expertise, collaboration, and continuous innovation. Together, you will support customers across industries, mentor peers, and contribute to the growth and advancement of Synopsys’ simulation technologies.

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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Responsibilities

Primary Responsibilities

In this position, you will be responsible for:

• Understanding daily warranty claim reports by participating in binning meetings and leading to resolution working with a cross-functional team.
• Understanding Daily End of Line (EOL) & Customer Acceptance Line (CAL) and First Time Through (FTT) inhibitors related to subsystem and driving containment and corrective action.
• Ensuring quality control management updates for subsystem are maintained and adjusted as outcome of External / Internal Indicator. Managing Heat maps for the subsystem to ensure all critical Workstations are identified for improvement opportunities.
• Conducting Control plan audits to ensure frequency, sampling to achieve Process capability on Key Critical Characteristics related to subsystem.
• Owning the Quality and the capability of the manufacturing processes within the Assembly department.
• Applying engineering principles and analytical techniques to drive continuous improvement to manufacturing processes as per the Ford Production System (FPS).
• Leading development of interim and permanent corrective actions to resolve quality issues using 8D methodology and structured problem-solving tools.
• Playing an integral role in the Launch Quality Operating System initiatives & Launch process by establishing and monitoring quality target levels at the workstation level for each build phase to validate workstations readiness.
• Conducting process audits to ensure process adheres to Vehicle Operations guidelines and specific process standards in line with FPS.
• Acting as team leader in resolving assembly related concerns. Leading variability reduction and lean manufacturing initiatives and best practices.
• Supporting ISO 14001 compliance and supporting internal ISO auditing and compliance as required.
• Leading development of solutions for throughput constraints.
• Managing and directing statistical process control activities related to subsystem.
• Reviewing internal/external suppliers for critical characteristic process compatibility.
• Supporting efficiency planning to ensure workstations are properly set up with quality risks identified and addressed.

Qualifications

Education

• Bachelor’s degree in engineering, Technology or related discipline.
• Master’s degree in engineering or related discipline is an asset.

Experience

• Minimum 3 years of manufacturing experience in quality or technology.
• Previous leadership or supervisory experience in a manufacturing environment.
• Demonstrated working knowledge of or experience with:
• 8D and 5Why corrective action and problem-solving
• Lean Tools – 5S, Kanban, Poka-yoke, and Value Stream Mapping
• Total Quality Management (TQM) and Kaizen Methods
• Visual Factory Management
• Microsoft Office (Word/Excel/Outlook)
• Experience using error proofing systems
• Failure Mode and Effects Analysis (FMEA), Production Part Approval Process (PPAP), and Design of Experiments (DOE)
• Factory Information System Management
• Quality Leadership System (QLS)
• Based Single Agenda for Quality (BSAQ)
• Web Based Data Management (WBDM
• Global System for Analytics and Reporting (GSAR
• Six Sigma Certification.

Preferred Qualifications

• Models outstanding interpersonal, teambuilding, and communication skills.
• Able to think critically and troubleshoot to deliver industry leading quality
• Highly committed to process improvement and innovative solutions with a customer-first mindset.
• Demonstrates inclusion and values diversity.
• Perseverance and tenacity to drive results.

Benefits

• The expected annual salary range for this position is $74,000.00 - $124,000.00 and individuals may be eligible to participate in our Annual Compensation bonus program.
• Successful candidates will be required to provide proof of degree completion for the highest level of education attained. If the degree was obtained from a school outside of Canada, an Education Credential Assessment report showing Canadian equivalency is also required.

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About the Team

OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.

About the Role

OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments.

You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action.

Responsibilities

• Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., ultra-pass / cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions.

• Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures.

• Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and mass production.

• Build and execute qualification strategies for cables/connectors/patch panels (mechanical, environmental, electrical, and reliability), including test coverage, sample plans, clear pass/fail criteria, defining installation criteria and processes, optics termination quality management and setting fiber standards criteria.

• Partner with engineering and operations to drive smooth ramp: risk assessments, pilot build learnings, change control, and readiness reviews (EVT/DVT/PVT/MP or equivalent phases).

• Own supplier and CM performance management: scorecards, audits (process and quality system), and follow-up to close findings with verified effectiveness

• Work with suppliers to improve manufacturing throughput, stability, and yields for cable and connector assembly processes (e.g., wire prep, welding/crimping, overmolding/injection molding, plating, and assembly fixturing).

• Lead rapid containment and root-cause investigations for failures found during bring-up, system integration tests, reliability testing, and fleet deployments.

• Own the end-to-end corrective action process (8D, 5-Whys, Ishikawa, DOE as needed): define problem statements, isolate variables, validate root cause, implement fixes, and verify effectiveness.

• Partner with SI/PI and test teams to correlate electrical performance issues (e.g., link margin, BER, eye closure, impedance discontinuities, PAM4, TDR and VNA) with manufacturing and mechanical drivers (connector wear, plating, contamination, misalignment, cable routing, assembly variation).

• Support integration and deployment of OpenAI supercompute racks in lab and data center environments; identify quality risks tied to shipping, handling, installation, and service operations.

Requirements

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or related field.

• 5+ years of experience in quality engineering, with a focus on high-speed interconnects and electro-mechanical assemblies.

• Strong understanding of quality principles, including Six Sigma, Lean, and Design for Manufacturability (DFM).

• Experience with quality management systems, such as ISO 9001, and regulatory requirements, such as IEC 62368.

• Strong analytical and problem-solving skills, with the ability to analyze complex data and identify root causes.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Experience with test and measurement equipment, such as oscilloscopes, signal generators, and network analyzers.

• Familiarity with simulation tools, such as ANSYS and COMSOL.

• Experience with data analysis and visualization tools, such as Excel, Python, and Tableau.

Preferred Qualifications

• Master's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or related field.

• 8+ years of experience in quality engineering, with a focus on high-speed interconnects and electro-mechanical assemblies.

• Experience with advanced quality tools, such as Failure Mode and Effects Analysis (FMEA) and Design of Experiments (DOE).

• Familiarity with artificial intelligence and machine learning concepts and applications.

• Experience with cloud-based quality management systems, such as Salesforce and ServiceNow.

Salary and Benefits

• Salary: $123K – $285K

• Offers Equity

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

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