Responsibilities:

Apply systems engineering principles to design, specify, analyze and validate diagnostic architecture for the ADAS system Develop and implement diagnostic strategies and architectures for the ADAS system, ensuring diagnostic behavior meets regulatory compliance and corporate standards, while supporting the engineering, manufacturing and service teams Create and validate systems-level diagnostic specifications and behavioral diagrams. Develop troubleshooting guides to support the utilization of implemented diagnostics by the engineering, manufacturing and service teams Support, coordinate, lead root-case analysis with internal functions and suppliers to ensure system achieves expectations Manage diagnostic issue triage, including DTCs, throughout the product lifecycle

Qualifications:

Bachelor’s degree in Electrical, Mechanical, Computer, Software Engineering, Data Science, or a related field 2+ years of experience vehicle systems engineering, including architecture development, requirement definition, failure mode analysis (DFMEA) and related validation sign-off 2+ years of experience with automotive diagnostics (DTCs, DIDs) Strong learning agility, adaptability, and systems thinking Excellent analytical, problem-solving, and troubleshooting skills Proven ability to lead and collaborate within cross-functional teams Effective verbal and written communication skills

Even better, you may have:

Master’s degree in Electrical, Controls, Computer, Mechanical or Systems Engineering or a related field 5+ years of experience vehicle systems engineering, including architecture development, requirement definition, failure mode analysis (DFMEA) and related validation sign-off 5+ years of experience with automotive diagnostics (DTCs, DIDs) Experience with electrical module design, in-vehicle communication protocols (CAN, LIN, Ethernet, UDS), and power distribution Experience with systems engineering or electronic component release engineering during major vehicle build launch milestones Experience with Agile methodologies

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above?

Benefits:

Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year’s Day Paid time off and the option to purchase additional vacation time.

This position is a salary grade 5-8 from $110,000 - $150,000.

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$288K – $320K • Offers Equity

The 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.

• 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.

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.

The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new and emerging classes of risk. This enables our partner teams to develop data-backed policies and safety mitigations. Precisely understanding how models behave in real-world conditions allows us to safely enable users to build useful things with our products.

About the Role

As an Abuse Investigator focused on AI Self-Autonomy and Agentic Risk on the Intelligence and Investigations team, you will be responsible for identifying and investigating cases where models exhibit autonomous or agentic behavior, including chaining capabilities, acting with increasing independence, or demonstrating patterns that may introduce safety risk. This includes detecting behaviors that are not explicitly intended, understood, or covered by existing safeguards.

This role requires deep domain-specific expertise in identifying, understanding, and mitigating risk from agentic systems, model autonomy, and AI self-improvement signals. You’ll need experience investigating complex systems where behavior emerges across multiple steps, tools, or interactions, and the ability to distinguish between normal task execution and concerning patterns such as persistence, workaround behavior, or capability expansion. You’ll need a proven ability to navigate ambiguous signals in a rapidly evolving and highly technical environment.

This role is based in our San Francisco office. Investigations may involve reviewing complex or sensitive model behaviors and edge-case outputs, requiring strong judgment and resilience in high-pressure environments.

In this role, you will:

• Review leads, investigate model behavior, and identify cases where systems demonstrate agentic or autonomous patterns that that introduce safety risks

• Detect and analyze behaviors such as multi-step planning, capability chaining, tool use, persistence, and workaround behavior

• Develop signals and tracking strategies to help proactively identify emerging agentic risk patterns across our platform

• Identify gaps in existing safeguards, evaluations, or monitoring systems and propose improvements

• Communicate investigation findings clearly to technical, policy, and leadership stakeholders

• Be someone people enjoy working with and appreciate the opportunity to help others

You might thrive in this role if you:

• Have deep expertise in investigating complex, adversarial, or emergent system behavior, ideally in AI safety, security, cyber, or trust & safety environments

• Have strong familiarity with technical investigations, especially using SQL, Python, or similar tools, in a government, research, or technology setting

• Have experience analyzing multi-step systems, automation, or agentic workflows, and understanding how behaviors emerge across interactions

• Have at least 6 years of experience conducting investigations, threat analysis, or research in complex and ambiguous domains

• Have experience identifying failure modes, unintended behaviors, or system-level risks, particularly in AI or software systems

• Have at least two years of experience helping to develop automated or scalable approaches to detection or investigation

• Experience presenting analytic work in technical, research, or policy settings

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 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.

We 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.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background 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.

To 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.

We are committed to creating a diverse and inclusive workplace.

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You will lead core design work for ADAS components per the Global Product Development System process on various vehicle programs. Your responsibilities will include providing cost-efficient and quality parts on time, maintaining ownership and governance of component-specific robustness quality documentation (DFMEA, DVP&R, SCCAF, etc.).

You will also lead the Sourcing Process, including investment, piece price, and tooling cost reviews, and prepare initial and final sourcing documents including ESOW, Engineering Specifications, System and Component Requirements. Additionally, you will manage and execute software technical design reviews and releases for prototype, production, and service.

You will lead and perform Failure Mode Avoidance and Functional Safety analyses to examine potential failure modes and design suitable prevention strategies. You will conduct Technical Design Reviews, interfacing with Ford application activities and supplier engineering (software, hardware, mechanical, etc.).

You will lead in the creation and signoff of E/E information like WCCA, Device Transmittals, Specifications, and Electrical Schematics. You will support Vehicle Operations activities to determine appropriate assembly and testing processes.

You will interface with other engineers, Vehicle Engineering, suppliers, and management to ensure compliance with required specifications and efficient critical decision-making. You will support program-related work such as Bill of Materials (BOM), integration and packaging, parts release, requirements compliance, Engineering Signoff, 2-pagers, AIMs, FMA, Subsystem/Supplier work plans, DVP&R, and Engineering Sign-off.

You will analyse data, identify root causes of issues, and develop corrective actions to optimize processes and achieve desired outcomes. You will drive troubleshooting and development of solutions for Hardware, Software, and packaging issues found during validation and launch using problem-solving best practices (8D, Is/Is not, 3L5W, fishbones, etc.).

You will support prototype builds and vehicle launch, which may require travel. You will identify validation, durability, and functional testing required for a given program’s change scope. You will support ongoing warranty reduction and improvements.

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Key responsibilities include:

• Leading design of wire harnesses and cable assemblies for autonomous UAVs
• Owning harness design process: concept, 3D CAD routing, analysis, and drawing release
• Performing electrical and environmental analysis for harness reliability
• Prototyping and testing harnesses in dynamic, mission-critical environments
• Collaborating with avionics, systems, and manufacturing teams for integration
• Mentoring engineers and driving harness design best practices

Required qualifications include:

• Bachelor's degree in Electrical, Mechanical, or Aerospace Engineering
• 8+ years in wire harness design for aerospace or robotics
• Strong CAD skills (NX or CATIA preferred) for 3D harness modeling
• Experience using EWIS design software (Zuken, Capital, etc)
• Expertise in GD&T, tolerance stack-ups, and IPC/WHMA-A-620 standards
• Experience with electrical schematics and connector selection
• Hands-on experience with harness fabrication or testing
• Ability to work independently and lead in fast-paced, cross-functional teams

Preferred qualifications include:

• Experience designing harnesses for UAVs, aircraft, or spacecraft
• Familiarity with EWIS compliance and RTCA DO-160 testing
• Proficiency in failure mode analysis (FMEA) and root cause investigations
• Knowledge of Teamcenter or similar PLM systems

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