Ford Motor Company

ADAS Interior Perception Systems Engineer

Ford Motor Company$100K — $120K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Electrical Engineering, Computer Science, Mathematics/Statistics, or related field
  • 3+ years in defining quantitative subsystem KPIs in safety-relevant domains
  • Fluency in applied statistics and hypothesis testing
  • Experience with validation strategies under finite test budgets
  • Strong communication skills for cross-functional collaboration

Responsibilities

  • Define quantitative performance targets and KPIs for perception subsystems
  • Characterize system performance across diverse environmental factors
  • Design statistically efficient validation strategies for system robustness
  • Build application-agnostic frameworks for core perception KPIs
  • Define usage profiles to project performance for customer populations
  • Collaborate with systems engineers to set design objectives
  • Partner with vendors on sensor and illuminator packaging requirements

Benefits

  • Visa sponsorship available for this position
  • Opportunities for career development and mentorship
  • Hybrid work arrangement with onsite requirements
  • Involvement in cross-functional teams for innovative projects
  • Exposure to next-generation driver-assist technology
Full Job Description
Job Description

We are looking for a statistically fluent systems engineer to define and verify performance targets for interior perception systems. Because these systems interact directly with the driver, consistency of feature experience across a diverse customer population is a core design objective. This role exists to define, measure, and continuously improve that consistency.

Responsibilities

What you'll do...

  • Define quantitative performance targets. Translate feature-level requirements into verifiable perception subsystem KPIs (e.g., detection and false-positive rates, time-to-detect) and drive alignment on those targets with feature owners and senior leadership.
  • Characterize system performance across the full range of customer and environmental noise factors (occupant anthropometry, appearance variation, eyewear, lighting, sun load) and develop methodologies to drive consistent feature availability across our customer population.
  • Design statistically efficient validation strategies (design of experiments, stratified sampling, sequential testing, resampling-based confidence estimation) that characterize system robustness across interacting noise factors while making efficient use of test time and resources.
  • Build application-agnostic performance and validation frameworks that decouple core perception KPIs from vehicle-specific factors such as camera mounting position, interior geometry, and occupant position, enabling reuse across platforms.
  • Define real-world usage profiles and exposure models to project bench and track performance into expected field performance for a representative customer population.
  • Collaborate with feature systems engineers to define design objectives, functional requirements, and architectural decisions for driver engagement systems.
  • Partner directly with vendor technical leads and our hardware team to refine sensor and illuminator packaging requirements and propose system architecture modifications that reduce application sensitivity.
  • Represent the interior perception subsystem in cross-functional design reviews and support root cause analysis and statistical characterization of any field issues.


What success looks like in this role
  • Within your first few months, you will have built relationships with feature owners, hardware engineers, validation leads, and key suppliers, and developed a working understanding of our current interior perception architecture and KPI landscape.
  • Within your first year, you will have led the definition of a platform-level KPI and validation framework that is adopted across multiple vehicle programs, and you will be the recognized internal authority on interior perception performance methodology.
  • Looking further out, you will shape how Ford approaches interior perception validation for the next generation of driver-assist features, and mentor a growing community of engineers contributing to that work.


Qualifications

You'll have...
  • Bachelor's Degree in Electrical Engineering, Computer Science, Mathematics/Statistics, or related field
  • 3+ years of experience decomposing high-level feature requirements into quantitative subsystem KPIs in automotive, aerospace, defense, medical devices, or a similarly safety-relevant domain
  • Demonstrated fluency in applied statistics - hypothesis testing, confidence and tolerance intervals, sample size justification, and reasoning about rare-event rates
  • Experience defining or executing validation strategies under finite test budgets
  • Strong communication skills - particularly the ability to explain and defend a statistical recommendation to non-statistical stakeholders and drive consensus across cross-functional teams


Even better, you may have...
  • Master's Degree in Electrical Engineering, Computer Science, Mathematics/Statistics, or related field
  • 5+ years of systems engineering experience in a safety-relevant domain
  • Experience with ADAS perception systems and performance evaluation (ROC/DET analysis, operating point selection, confusion matrix decomposition by subgroup)
  • Experience with driver/occupant monitoring or camera-based biometric systems
  • Proficiency in Python (or comparable language) for statistical analysis of large datasets
  • Familiarity with naturalistic driving studies, exposure modeling, or reliability and field-return analysis
  • Understanding of functional safety (ISO 26262) and SOTIF standards and processes
  • Experience with systems modeling and/or requirements management tools (SysML/MagicDraw, Polarion, JAMA, DOORS, etc.) and failure mode analysis techniques
  • Familiarity with requirement formats including INCOSE and EARS


What would make you stand out
  • A track record of driving consensus on performance targets in environments with competing technical and program pressures
  • Experience presenting and defending performance methodology to executive technical leadership
  • History of building validation frameworks or evaluation methodologies that were adopted beyond their original scope
  • Recognized depth in either applied statistics or perception system design - and working fluency in the other


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!

This position is a salary grade 7-8.

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

Visa sponsorship is available for this position.

Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-LB1

About Ford Motor Company

Ford Motor Company manufactures or distributes automobiles in addition to offering financial services. The company sells to dealerships for retail sales, and for sale to fleet customers, including commercial fleet customers, daily rental car companies, and governments. Ford’s vehicle portfolio includes automobiles, buses, tractors, and trucks. Retail financing includes retail installment sale contracts for new and used vehicles, and direct financing leases for new vehicles to retail customers, government entities, daily rental car companies, and fleet customers. Finance receivables in the non-consumer portfolio include products offered to automotive dealers. Ford’s environmental initiatives include compressed natural gas, flexible fuel vehicles, electric drive vehicles, Hydrogen, PC power management, and so on. Ford Motor Company was founded by Henry Ford in 1903 and is headquartered in Dearborn, Michigan.

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Learn more about Ford Motor Company
Size
183,000 employees
Market Cap
$44.8 billion
Industry
Net Income
-$1.2 billion
Founded
1903
5 Year Trend
-2.1%
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$127.1 billion
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