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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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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This role demands deep technical expertise in backend architecture and the ability to influence decisions across the team and adjacent engineering groups. You will thrive in a fast-paced, zero-to-one environment, cutting through ambiguity to drive product-market fit.

In practice, that means using AI tools for architectural reasoning and design review, generating and validating test coverage, accelerating code review cycles, and helping engineers build judgment about when AI output is trustworthy and when it isn't.

You'll define what 'good' looks like here and bring the team along. You'll also be a force multiplier - mentoring senior engineers, raising the technical bar through architecture.

Proactively shape the technical strategy and architecture of a greenfield VDC identity ecosystem, partnering with principal engineers to ensure decisions prioritize open standards and interoperability.

Own architectural decisions in a fast-moving environment - balancing rapid delivery with long-term scalability, security, and platform integrity.

Identify and mitigate technical risks before they become blockers; escalate dependencies early and widely.

Own production health for your systems - incident response, root cause identification, and driving operational improvement projects (monitoring coverage, alert reduction, runbook quality).

Champion high engineering standards across the team, including rigorous code reviews, comprehensive unit/functional testing, and architectural review processes to ensure the platform is tamper-proof.

Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.

Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.

Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.

Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole.

Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.

Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.

Solid understanding of web authentication and authorization fundamentals - how auth flows work, token-based access (JWT, OAuth), and best practices for securing sensitive user data.

Deep expertise in building highly reliable, secure, enterprise-grade software using Java or Node.js.

Proficiency in JavaScript or TypeScript, with the ability to navigate and contribute to the frontend to unblock feature development.

Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS.

Hands-on experience with identity protocols such as OIDC4VP, OIDC4VCI, OAuth, and the W3C Verifiable Credentials data model.

Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.

Practical knowledge of cryptography: public/private key infrastructure (PKI), digital signatures, and hashing, particularly in the context of Verifiable Credentials or DIDs.

Experience building or maintaining publicly released SDKs used by external developers.

Experience in one of the following areas is preferred: developing Identity and Access Management (IAM) tooling, working with blockchain technology, or contributing to a 'zero-to-one' startup-like team.

The annual base salary range for this position for candidates located in Canada is between $160,000-$220,000 CAD.

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