Top 48 embedded systems architect Jobs in romulus mi

Forward Deployed Engineer IV, GenAI, Google Cloud
Google —Ann Arbor, MI
- $207,000 - $300,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Paid holidays
- Disability insurance
9d
Systems Engineering - Connected Vehicle Access Systems
Ford Motor Company —Dearborn, MI
- $66,660 - $190,500 a year
- Online Application
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Paid holidays
Senior Product Cybersecurity Architect
Torc Robotics —Ann Arbor, MI
- $153,200 - $183,800 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Master's degree
- AD&D insurance
- Health insurance
11d
In-Vehicle Network Analysis Tools Engineer
Ford Motor Company —Allen Park, MI
- $85,400 - $192,900 a year
- Online Application
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
13d
Forward Deployed Engineer III, Generative AI, Google Cloud
Google —Ann Arbor, MI
- $174,000 - $252,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
2d
Systems Software Engineer
KLA —Ann Arbor, MI
- $105,900 - $180,000 a year
- Full-time
- Doctoral degree
- System design
- Windows
- Employee stock purchase plan
- Paid holidays
SDV Platform Architect
Ford Motor Company —Dearborn, MI
- $129,600 - $244,680 a year
- Online Application
- Hybrid work
- 5 years
- Bachelor of Science
- US work authorization
- Paid parental leave
- Paid holidays
Embedded Firmware Engineer
Utilidata —Ann Arbor, MI
- $135,000 - $175,000 a year
- Full-time
- Computer Science
- System design
- Office
- Health insurance
- Dental insurance
Senior Software Engineer - PKI
Ford Motor Company —Dearborn, MI
- $118,700 - $232,700 a year
- Online Application
- Hybrid work
- Computer Science
- Office
- 3 years
- Paid parental leave
- Paid holidays
ADAS Embedded Software Architect
Ford Motor Company —Dearborn, MI
- $87,000 - $160,000 a year
- Full-time
- Hybrid work
- Computer Science
- 3 years
- Master's degree
- Paid parental leave
- Paid holidays
Lead Architect- Automotive AI Cockpit
Bosch Group —Plymouth, MI
- Full-time
- Hybrid work
- Background check
- Computer Science
- 5 years
- Health insurance
- Paid time off
Quick Apply
8d
Senior Software Architect - Infotainment
Bosch Group —Plymouth, MI
- Full-time
- Hybrid work
- Background check
- Computer Science
- Pass drug screening
Quick Apply
Technical Lead- Automotive AI Cockpit
Bosch Group —Plymouth, MI
- Full-time
- Hybrid work
- Background check
- Computer Science
- 5 years
- Health insurance
- Paid time off
Quick Apply
8d
Systems Engineer
Ford Motor Company —Dearborn, MI
- $85,400 - $143,200 a year
- Online Application
- Hybrid work
- Computer Science
- Bachelor of Science
- Research
- Paid parental leave
- Paid holidays
Vehicle Controls Engineering Process Tools Technical Specialist
Ford Motor Company —Dearborn, MI
- $132,800 - $180,800 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Cybersecurity Architect - Embedded Security Mitigations
Ford Motor Company —Dearborn, MI
- $112,680 - $212,760 a year
- Online Application
- Hybrid work
- Computer Science
- Java
- Mentoring
- Paid parental leave
- Paid holidays
In Vehicle Network Architect
Ford Motor Company —Dearborn, MI
- $85,400 - $192,900 a year
- Online Application
- Hybrid work
- Computer Science
- Master's degree
- Analysis skills
- Paid parental leave
- Paid holidays
Senior Embedded Software Engineer - Audio
Ford Motor Company —Dearborn, MI
- $115,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid parental leave
- Paid holidays
Battery Monitoring Cyber Security Engineer, Ford Energy
Ford Motor Company —Dearborn, MI
- $99,100 - $166,200 a year
- Online Application
- Hybrid work
- Computer science
- Computer Science
- 5 years
6d
Powertrain Controls Platform Architect
Ford Motor Company —Dearborn, MI
- $115,000 - $192,900 a year
- Online Application
- Hybrid work
- Computer Science
- Software troubleshooting
- Master's degree
- Paid parental leave
- Paid holidays

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embedded systems architect jobs near romulus mi

Forward Deployed Engineer IV, GenAI, Google Cloud

Google -
Ann Arbor, MI

Apply Now

Job Details

Full-time
$207,000 - $300,000 a year
9 days ago

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance
401(k) matching

Qualifications

Software engineering
Infrastructure architecture
Enterprise software systems development
Databases
Maintaining data pipelines
Programming languages
Model deployment
Engineering product development
Cloud Architecture Design (Architecture design skills)
Implementing IT solutions

Full Job Description

The application window will be open until at least June 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may also be located in our Playa Vista, CA campus.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
8 years of experience with software development using Python or similar coding languages.
Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Experience taking production-grade AI-driven solutions from conception to launch for customers.
Experience architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
Experience leading technical discovery sessions with customers.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

embedded systems architect jobs in romulus mi

Forward Deployed Engineer IV, GenAI, Google Cloud

Systems Engineering - Connected Vehicle Access Systems

Senior Product Cybersecurity Architect

In-Vehicle Network Analysis Tools Engineer

Forward Deployed Engineer III, Generative AI, Google Cloud

Systems Software Engineer

SDV Platform Architect

Embedded Firmware Engineer

Senior Software Engineer - PKI

ADAS Embedded Software Architect

Lead Architect- Automotive AI Cockpit

Senior Software Architect - Infotainment

Technical Lead- Automotive AI Cockpit

Systems Engineer

Vehicle Controls Engineering Process Tools Technical Specialist

Cybersecurity Architect - Embedded Security Mitigations

In Vehicle Network Architect

Senior Embedded Software Engineer - Audio

Battery Monitoring Cyber Security Engineer, Ford Energy

Powertrain Controls Platform Architect

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