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トレンド企業

トレンド企業

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求人Ford

HMI Software Product Engineer

Ford

HMI Software Product Engineer

Ford

Dearborn, MI, United States, US

·

On-site

·

Full-time

·

3w ago

必須スキル

Jira

In this position...

The HMI Software Product Engineer (SPE) is the feature delivery lead within in-vehicle infotainment responsible for translating product and design intent into executable software backlogs and driving delivery across the in-vehicle digital experience, supporting middleware/services, and vehicle integration. This role has broad organizational influence across Product Management, Digital Product Design, engineering scrum teams, and testing to ensure feature readiness, integration quality, and release outcomes. The SPE is accountable for cross-team alignment, dependency and risk management, and integrated validation from concept through launch. This leadership role drives predictable program execution, customer-ready feature quality, and on-time delivery to vehicle platforms.

We are hiring for two positions with a few key differences listed below:

In the first role we are looking for:

In this role, the SPE will own all User Interaction Controls, including Steering Wheel Controls, Multi-Modal Controllers (MMC), and Gang Switches. This SPE will be responsible for end-to-end feature integration across in-vehicle displays, ensuring consistent and reliable behavior across all user inputs.

In the second role we are looking for:

In this role, the SPE will own Driver Information HMI, including layouts, animations, themes, drive modes, and feature integration across our Build, Thrill, and Adventure domains. This SPE will also be responsible for our Welcome & Farewell screen experiences across in-vehicle displays.

You'll have...

  • Experience: 5+ years (or equivalent) delivering complex, cross-functional software features in embedded, automotive, or adjacent domains; demonstrated ownership across multiple teams and releases.
  • Backlog leadership: Proven ability to author high-quality epics and user stories (clear scope, testable acceptance criteria, dependency mapping) and drive Agile execution (grooming, PI planning, sprint delivery).
  • Systems integration mindset: Ability to reason about end-to-end behavior across HMI ↔ middleware/services ↔ vehicle signal access (via API abstraction) and drive integration/validation outcomes.
  • Technical proficiency: Strong technical depth to lead engineers—comfortable with architecture discussions, interface contracts, and failure-mode thinking.
  • Diagnostics/triage: Experience leading defect triage using logs and traces (e.g., ADB/dev logs; CAN trace familiarity) and driving disciplined prioritization/closure.
  • Tools: Proficiency with Jira and Confluence; comfortable creating traceability to requirements/design artifacts and managing dependencies.
  • Communication/leadership: Strong cross-functional leadership skills—can drive decisions, align stakeholders, and communicate risks/status crisply to technical and non-technical audiences.
  • Education: BS in Engineering, Computer Science, or related technical field (or equivalent practical experience).

Even better, you may have...

  • Direct experience with QNX/Android Automotive, infotainment HMIs and Figma.
  • Familiarity with CAN-based feature behaviors and vehicle state modeling; exposure to tools such as CANalyzer/Wireshark (or similar).
  • Background in driver-focused feature areas.
  • Experience with test management tools and reviewing test coverage against acceptance criteria.
  • Knowledge of automotive program cadence and release gating (launch milestones, OTA readiness, in-field defect handling).

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

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? No matter what you choose, we offer a work life that works for you, including:

  • 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 7-8 and ranges from $84,480- $162,120.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

What you'll do...

  • Own the end-to-end delivery for a number of vehicle features sets from concept through release sign-off.

  • Translate PRDs, design artifacts, and system requirements into epics and sprint-ready user stories with clear acceptance criteria in Jira.

  • Lead feasibility assessment, scope definition, and backlog readiness for PI planning; manage change/churn while protecting milestones.

  • Drive cross-functional alignment with Product, Digital Product Design, Architecture, Engineering, and Test to ensure shared understanding of intent, priorities, and dependencies.

  • Define and manage feature dependencies and blockers across HMI, services, platform, and validation.

  • Validate end-to-end feature behavior on bench/vehicle through demos and product truth sessions; ensure implementation matches UX intent and functional expectations.

  • Lead defect triage and prioritization for owned features; drive issues to closure through root-cause direction, retest strategy, and stakeholder communication.

  • Maintain clear execution visibility via epic status summaries, risk registers/mitigation plans, and regular stakeholder updates.

  • Ensure test coverage alignment by reviewing/confirming that test cases map to story acceptance criteria and key edge cases.

総閲覧数

1

応募クリック数

0

模擬応募者数

0

スクラップ

0

Fordについて

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

従業員数

Dearborn

本社所在地

$48B

企業価値

レビュー

3.3

10件のレビュー

ワークライフバランス

3.8

報酬

3.5

企業文化

2.8

キャリア

2.2

経営陣

2.5

45%

友人に勧める

良い点

Good benefits

Good work-life balance

Strong management support/respect

改善点

Poor/terrible management

Limited career growth opportunities

High turnover

給与レンジ

21件のデータ

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1件のレポート

$132,847

年収総額

基本給

$102,190

ストック

-

ボーナス

-

$132,847

$132,847

面接体験

3件の面接

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 67%

ネガティブ 33%

面接プロセス

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm